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ERA Reportable USQ Research Outputs Database (ROD) with ARC Designated FOR Codes

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ERA Reportable USQ Research Outputs Database (2014 - 2018) Collaborative Authorship

Refereed Edited Book Series 

2018

  1. Roy SS, Samui P, Deo RC, Ntalampiras, S (Eds.) (2018). Big Data in Engineering Applications. Studies in Big Data Series, Book-Springer: Netherlands. Springer Singapore; 1st ed. 2018 edition (22 June 2018). ISBN-10: 9811084750. 
  1. Roy SR, Länsivaara T, Deo RC, Samui P (Eds.) (2018). Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering. Volume in the Advances in Computational Intelligence and Robotics (ACIR) Book Series.IGI Global Book: ISBN13:  DOI: 10.4018/978-1-5225-4766-2.

Refereed Edited Book Chapters

2017

  1. Deo RC, Salcedo-Sanz S, Carro-Calvo L, Saavedra-Moreno B. (2017). Drought prediction with Standardized Precipitation and Evapotranspiration Index for and Support Vector Regression Models. In Book Chapter (Drought Modelling and Drought Analysis): Integrating Disaster Science and Management, Edited by Pijush Samui, Dookie Kim, and Chandan Ghosh. ISBN:9780128120569. 500pp. New York, NY: Elsevier. 
  1. Elizabeth McCarthy, Deo RC, Yan Li, Tek Maraseni (2017). Optimization of Daily Drought Condition Forecasts with Self-organizing Map: ARIMA and Neural Network Model Applications. In Book Chapter: Predictive Modelling in Science and Engineering, Edited by Pijush Samui, Deo RC, Dookie Kim, and Chandan Ghosh. New York, NY: Springer. ISBN-10: 9811084750. 
  1. Ghimire G, Deo RC, Downs N, Raj N. (2017). Optimization of windspeed prediction using an Artificial Neural Network compared with a Genetic Programming model using observational and ground based datasets. In Book Chapter: Predictive Modelling in Science and Engineering, Edited by Pijush Samui, Deo RC, Dookie Kim, and Chandan Ghosh. New York, NY: Springer. ISBN-10: 9811084750. 
  1. Zaher Mundher Yaseen, Isa Ebtehaj, Hossein Bonakdari, Deo RC. (2017). Hybrid data intelligent models and applications for water level prediction. In Book Chapter: Predictive Modelling in Science and Engineering, Edited by Pijush Samui, Deo RC, Dookie Kim, and Chandan Ghosh. New York, NY: Springer. ISBN-10: 9811084750. 
  1. Kavina S. Dayal, Deo RC, Armando AA. (2017) “Drought Modelling based on Artificial Intelligence and Neural Network Algorithms: A case study in Queensland, Australia”, In Book Chapter: Leal Filho, W (ED) Climate Change Adaptation in Pacific Countries: Fostering Resilience and Improving the Quality of Life. Springer, Berlin.

Refereed Journals (with Scopus JCR Impact Factors)

2019

  1. Deo RC, Sahin M, Adamowski JF, Mi J. (2019). Universally deployable extreme learning machines integrated with remotely sensed MODIS satellite predictors over Australia to forecast global solar radiation: a new approach. Renewable & Sustainable Energy Reviews, 104, 235-261.

[Impact Factor = 9.184]

  1. Ghimire S, Deo RC, Downs N, Raj N. (2019). Global solar radiation prediction by ANN integrated with European Centre for Medium Range Weather Forecast Fields in Solar Rich Cites of Queensland Australia. Journal of Cleaner Production.216, 288 – 310.

[Impact Factor = 5.651]

  1. Fijani E, Barzegar R, Deo RC, Tziritis E, Konstantinos S. (2019). Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters. Science of the Total Environment. 648, 839-853.

[Impact Factor = 4.900]

  1. Chen, Lijuan and Li, Changsheng and Feng, Qi and Wei, Yongping and Zhao, Yan and Zhu, Meng and Deo RC (2019) Direct and indirect impacts of ionic components of saline water on irrigated soil chemical and microbial processes. Catena, 172, 582-589.

[Impact Factor = 3.256]

  1. Jong-min Yeom, Seungtaek Jeong, Gwanyong Jeong, Chi Tim Ng, Deo RC, Jonghan Ko (2019). Monitoring paddy productivity in North Korea employing geostationary satellite images integrated with GRAMI-rice model. Scientific Reports, 8:16121, DOI:10.1038/s41598-018-34550-0.

[Impact Factor = 4.130]

  1. Yaseen ZM, Sulainman SO, Deo RC, Chau K-W (2019). An enhanced extreme learning machine model for river flow forecasting: state-of-the-art, applications in water resource engineering and future research directions. Journal of Hydrology, In Press.

[Impact Factor = 3.727]

  1. Wen Liu, Qi Feng, Weiping Chen, Wei Wei, Deo RC. (2019). The influence of structural factors on stormwater runoff retention of extensive green roofs: new evidence from scale-based models and experiments. Journal of Hydrology, In Press.

[Impact Factor = 3.727]

  1. Ghorbani MA, Deo RC, Karimi V, Kashani MH (2019). Design and implementation of a hybrid MLP-GSA model with multi-layer perceptron-gravitational search algorithm for monthly Lake water level forecasting. Stochastic Environmental Research & Risk Assessment, In Press.

[Impact Factor = 2.668]

  1. Meng Zhua, Qi Feng, Mengxu Zhang, Wei Liu, Yanyan Qin, Deo RC, Chengqi Zhang (2019). Effects of topography on soil organic carbon stocks in grasslands of a semiarid alpine region, northwestern China. Journal of Soils and Sediments, In Press.

[Impact Factor = 2.627]

  1. Xiaofang Zhang, Jan Adamowski, Deo RC, Xueyun Xu, Guofeng Zhu, Jianjun Cao (2019). Effects of afforestation on soil bulk density and pH in the Loess Plateau, China. Water, In Press.

[Impact Factor = 2.070]

  1. Raid Lafta, Ji Zhang, Xiaohui Tao, Xiaodong Zhu, Hongzhou Li, Liang Chang, Deo RC (2019). A general extensible learning approach for multi-disease recommendations in a telehealth environment. Pattern Recognition Letters, https://doi.org/10.1016/j.patrec.2018.11.006

[Impact Factor = 1.952] 

2018

  1. AL-Musaylh MS, Deo RC, Li Y, Adamowski JF (2018). Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon electricity demand forecasting. Applied Energy. 217, 422 – 439.

[Impact Factor = 7.200]

  1. Salcedo-Sanz S., Deo RC, Cornejo-Bueno L., Camacho-Gomez C., Ghimire S. (2017). An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in Sunshine State of Australia. Applied Energy. 209(79-94).

[Impact Factor = 7.200]

  1. Maraseni T, Deo RC, Qu J, Gentle P, Neupane PR. (2018). An international comparison of rice consumption behaviours and greenhouse gas emissions from rice production. Journal of Cleaner Production. 172, 2288-2300

Impact Factor = 5.715]

  1. Ghimire S, Deo RC, Downs N, Raj N (2018). Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities. Remote Sensing of Environment. 121 (176-198).

[Impact Factor = 6.265]

  1. Rahim Barzegara, Asghar Asghari Moghaddam, Deo RC, Elham Fijani, Evangelo Tziritis. (2018). Mapping groundwater contamination risk of multiple aquifers using multi-model ensemble of machine learning algorithms. Science of the Total Environment. 621, 697–712.

[Impact Factor = 4.900]

  1. Deo RC, Ghorbani MA, Samadianfrad S, Maraseni T, Bilgili M, Biazar M. (2018). Multi-layer perceptron hybrid model integrated with the firefly optimizer algorithm for windspeed prediction of target site using a limited set of neighboring reference station data.Renewable Energy.116 (Part A): 309 – 323

[Impact Factor = 4.351]

  1. Cao J, Xu Z, Deo RC, Gong Y, Qi F, Yang S, Li M, Zhou J, Zhang J, Liu M. (2018). Multi-household grazing management pattern maintains better soil fertility. Agronomy for Sustainable Development. 38(6).

[Impact Factor = 4.101]

  1. Nyguen TH, Deo RC, Mushtaq S, Kath J, Khan S (2018). Copula-based agricultural conditional value-at-risk modelling for geographical diversifications in wheat farming portfolio management. Weather and Climate Extremes. 21, 76-89

  Impact Factor = 4.080]

  1. Ali M, Deo RC, Downs N, Maraseni T (2018). Cotton yield prediction with Markov Chain Monte Carlo-based simulation model integrated with genetic programing algorithm: A new hybrid copula-driven approach. Agricultural and Forest Meteorology, 263, 428-443.

[Impact Factor = 4.039]

  1. Sanikhani H, Deo RC, Yaseen ZM, Eray, O, Kisi O. (2018). Non-tuned data intelligent model for soil temperature estimation: a new approach. Geoderma. 30, 52-64.

[Impact Factor = 4.036]

  1. Prasad R, Deo RC, Li Y and Maraseni T. (2018). Soil moisture forecasting using hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition. Geoderma. 330, 136 – 161.

[Impact Factor = 4.063] 

  1. Cao J, Holden N, Adamowski JF, Deo RC, Qi F. (2018). Can individual land ownership reduce grassland degradation and favor socioeconomic sustainability on the Qinghai-Tibetan Plateau? Environmental Science and Policy, 89, 192-197

[Impact Factor = 3.910]

  1. Mohammad Ali Ghorbani, Deo RC, Mahsa H. Kashani, Mahmoud Shahabi, Shahryar Ghorbani (2018). Fast and efficient hybrid approach for spatial modelling of soil electrical conductivity. Soil & Tillage Research, 186, 152-164.

[Impact Factor = 3.824]

  1. Ali M, Deo RC, Downs NJ, Maraseni TN. (2018). An ensemble-ANFIS based uncertainty assessment model for forecasting multi-scalar standardized precipitation index. Atmospheric Research. 207(155-180).

[Impact Factor = 3.778]

  1. Ali M, Deo RC, Downs N, Maraseni T (2018) Multi-stage hybridized online sequential extreme learning machine integrated with Markov Chain Monte Carlo copula-Bat algorithm for rainfall forecasting.Atmospheric Research, 213, 450-464

Impact Factor = 3.778]

  1. Nyguen TH, Deo RC, Mushtaq S, Khan S & Duc-Anh (2018). Modeling the joint influence of multiple synoptic-scale, climate mode indices on Australian wheat yield using a vine copula-based approach. European Journal of Agronomy. 98, 65-81.

[Impact Factor = 3.757]

  1. Jianjun Cao, Mengtian Li, Xueyun Xu, Deo RC, et al. (2018). Comparison of social-ecological resilience between two grassland management patterns driven by grassland land contract policy in the Maqu, Qinghai-Tibetan Plateau. Land Use Policy. 74, 88-96.

[Impact Factor = 3.194, Quartile 1, Cited 1 times]

  1. Prasad R, Deo RC, Li Y and Maraseni T. (2018). Ensemble committee-based data intelligent approach for generating soil moisture forecasts with multivariate hydro-meteorological predictors. Soil & Tillage Research. 181, 63-81.

[Impact Factor = 3.401]

  1. Deo, RC, Downs, N., Parisi, A., Adamowski, J.F (2018). Adaptive Neuro-Fuzzy Inference System integrated with solar zenith angle for forecasting very short-term, sub-tropical Photosynthetically Active Radiation without climate dataset. Food and Energy Security. 2018;e00151, https://doi.org/10.1002/fes3.151

[Impact Factor = 3.032]

  1. Zaher Mundher Yaseen, Minh Tung Tran, Sungwon Kim, Taha Bakhshpoori, Deo RC (2018). Shear strength prediction of steel fiber reinforced concrete beam using hybrid intelligence models: A new approach. Engineering Structures, 177, 244-255

[Impact Factor = 2.755]

  1. Al-Musaylh MS, Deo RC, Adamowski JF, Li Y (2018). Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia. Advanced Engineering Informatics. 35(1-16).

[Impact Factor = 2.680]

  1. Jianjun Cao, Xiaofang Zhang, Deo RC, Yifan Gong, Qi Fang. (2018). Comparison of social-ecological resilience between two grassland management patterns driven by grassland land contract policy in the Maqu, Qinghai-Tibetan Plateau. Land Use Policy. 74, 88-96

[Impact Factor = 3.194, Quartile 1, Cited 1 times]

  1. Zaher Mundher Yaseen, Minglei Fu, Chen Wang, Wan Hanna Melini Wan Mohtar, Deo RC, Ahmed El-shafie. (2018). Application of the Hybrid Artificial Neural Network Coupled with Rolling Mechanism and Grey Model Algorithms for Streamflow Forecasting Over Multiple Time Horizons. Water Resource Management. 32(5). 1883–1899.

[Impact Factor = 2.930]

  1. Yin Z, Qi F, Wen X, Deo RC, Yang L, Si J, He Z.(2018). Design and evaluation of SVR, MARS and M5Tree models for 1, 2 and 3-day lead time forecasting of river flow data in a semiarid mountainous catchment. Stochastic Environmental Research and Risk Assessment. 32(8). 2457–2476.

 [Impact Factor = 2.460]

  1. Kouadio L, Deo RC, Nguyen VP, Adamowski JF, Mushtaq S, Byrareddy V (2018). Predicting Robusta coffee yield employing soil fertility properties and advanced machine learning techniques. Computers and Electronics in Agriculture. In Press.

 [Impact Factor = 2.427]

  1. Kim, Do-Woo, Deo RC, Park, Sang-Jin and Lee, Jong-Seol and Lee, Woo-Seop (2018). Weekly heat wave death prediction model using zero-inflated regression approach. Theoretical and Applied Climatology. https://doi.org/10.1007/s00704-018-2636-9.

 [Impact Factor = 2.321]

  1. Deo RC, Adamowski JF, Begum K, Salcedo-Sanz S, Kim D-W, Dayal KS, Byun H-R (2018). Quantifying flood events in Bangladesh with a daily-step flood monitoring index based on the concept of daily effective precipitation. Theoretical and Applied Climatology. In Press.

 [Impact Factor = 2.321]

  1. Ali M, Deo RC, Downs NJ, Maraseni TN. (2018). Multi-stage committee based extreme learning machine model incorporating the influence of climate parameters and seasonality on drought forecasting. Computers and Electronics in Agriculture, 152, 149-165.

[Impact Factor = 2.427]

  1. Sanikhani H, Deo RC, Samui P, Kisi O, Mert C, Mirabbasi R, Gavili S, Yaseen, Zaher M (2018) Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors. Computers and Electronics in Agriculture, 152, 242-260.

[Impact Factor = 2.427]

  1. Park S, Kim Q-W, Deo RC, Lee J. (2018). Mapping hypothermia death vulnerability in Korea. International Journal of Disaster Risk Reduction. 31, 668-678.

[Impact Factor = 2.170]

  1. Cao J, Gong Y, Yeh ET, Holden NM, Adamowski FJ, Deo RC, Liu M, Zhou J, Zhang J, Zhang W, Zhang S, Sheng DE, Yang S, Xu X, Li M, Feng Q. (2018). Impact of grassland contract policy on soil organic carbon losses from alpine grassland on the Qinghai–Tibetan Plateau. Soil Use and Management. 33(4), 663–671.

[Impact Factor = 2.117

  1. Seyedeh Narjes Fallah, Deo RC, Mohammad Shojafar, Mauro Conti, Shahaboddin Shamshirband (2018). Computational Intelligence Approaches for Energy Load Forecasting in Smart Energy Management Grids: State of the Art, Future Challenges, and Research Directions. Energies. 11(596)

[Impact Factor = 2.10]

  1. Zhenliang Yin, Qi Feng, Linshan Yang, Deo RC, Xiaohu Wen, Jianhua Si, Shengchun Xiao (2018). Future Projection with an Extreme-Learning Machine and Support Vector Regression of Reference Evapotranspiration in a Mountainous Inland Watershed in North-West China. Water. 9(880):

[Impact Factor = 1.832]

  1. Dayal KS, Deo RC, Apan A. (2018). Spatio-temporal drought-risk mapping approach and its application in the drought-prone region of south-east Queensland, Australia. Natural Hazards. 93, 823-847.

[Impact Factor = 1.833]

  1. Deo RC, Byun H-R, Kim G, Adamwoski JF. (2018). A real-time hourly water index for flood risk monitoring: Pilot studies in Brisbane, Australia and Dobong Observatory, South Korea. Environmental Monitoring and Assessment. 190:450.

[Impact Factor = 1.804]

  1. Taher Rajaee & Masoud Ravansalar, Jan F. Adamowski & Deo RC. (2018). A New Approach to Predict Daily pH in Rivers Based on the Bà trous^ Redundant. Water, Air & Soil Pollution. 229 (3), 85

[Impact Factor = 1.700]

  1. Lamine Diop, Ansoumana Bodian, Koi Djaman, Zaher Mundher Yaseen, Deo RC, Ahmed El-shaie, Larry C. Brown (2018). The influence of climatic inputs on stream-low pattern forecasting: case study of Upper Senegal River. Environmental Earth Sciences. DOI: https://doi.org/10.1007/s12665-018-7376-8

[Impact Factor = 1.680]

  1. Ethteram, M., Mousavi, S.-F., Karami, H., Farzin, S., Deo, R., Othman, F.B., Chau, K.-w., Sarkamaryan, S., Singh, V.P., El-Shafie, A., 2018. Bat algorithm for dam–reservoir operation. Environmental Earth Sciences 77, 510.

[Impact Factor = 1.510]

  1. Dayal KS, Deo RC, Apan A. (2018). Investigating drought duration-severity-intensity characteristics using the Standardised Precipitation-Evapotranspiration Index: case studies in drought-prone southeast Queensland. Journal of Hydrologic Engineering. 23(1)

[Impact Factor = 1.350]

  1. Sina Faizollahzadeh Ardabili, Bahman Najafi, Shahaboddin Shamshirband, Behrouz Minaei Bidgoli, Deo RC, Kwok-wing Chauf (2018). Computational intelligence approach for modeling hydrogen production: a review. Engineering Applications of Computational Fluid Mechanics. DOI: 10.1080/19942060.2018.1452296

[Impact Factor = 1.350]

  1. Mandakh N, Qi F, Deo RC. (2018). A comparative study of temperature and precipitation‑based aridity indices and their trends in Mongolia. International Journal of Environmental Research. ISSN 1735-686

[Impact Factor = 1.030] 

2017 

  1. Deo RC, Sahin Mehmet (2017). Forecasting long-term global solar radiation with an ANN algorithm coupled with satellite-derived (MODIS) land surface temperature (LST) for regional locations in Queensland. Renewable & Sustainable Energy Reviews. 72, 822–847. [USQ Publication Excellence Award 2017]

[Impact Factor = 8.500, Quartile 1, Cited 9 times]

  1. Deo RC, Downs N, Paris A, Adamwoski J F (2017). Very short-term reactive forecasting of the solar ultraviolet index using an extreme learning machine integrated with the solar zenith angle. Environmental Research. 155, 141-156

[Impact Factor = 4.040, Quartile 1, Cited 3 times]

  1. Deo RC, Kisi O, Singh V (2017). Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model. Atmospheric Research. 184, 149-175

[Impact Factor = 3.377, Quartile 1, Cited 17 times]

  1. Prasad Ramendra., Deo RC, Li Yan, Maraseni Tek. (2017). Input selection and performance optimization of ANN-based streamflow forecasting in a drought-prone Murray Darling Basin with IIS and MODWT. Atmospheric Research. 197, 42-63.

[Impact Factor = 3.377, Quartile 1, Cited 5 times]

  1. Zaher Mundher Yaseen, Isa Ebtehaj, Hossein Bonakdari, Deo RC, et al. (2017). Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model. Journal of Hydrology. 554: 263 – 276.

[Impact Factor = 3.770, Quartile 1, Cited 0 times]

  1. Deo RC, Tiwari Mukesh K, Adamowski Jan F, Quilty John (2016). Forecasting Effective Drought Index Using a Wavelet Extreme Learning Machine (W-ELM) Model. Stochastic Environmental Research and Risk Assessmen 31(5), 1211 – 1240.

[Impact Factor = 2.280, Quartile 1, Cited 17 times]

  1. Deo RC, Byun H-R, Adamowski, JF and Khaleda B (2016). Application of Effective Drought Index for quantification of meteorological drought events: A case study in Australia. Theoretical and Applied Climatology. 128 (1–2): 359–379

[Impact Factor = 2.640, Quartile 2, Cited 7 times]

  1. Jianjun Cao, Mengtian Li, Xueyun Xu, Deo RC, et al. (2017). Impact of grassland contract policy on soil organic carbon losses from alpine grassland on the Qinghai-Tibetan Plateau. Soil Use and Management. 33(4), 663-671.

[Impact Factor = 2.117, Quartile 1, Cited 0 times]

  1. Zaher Mundher Yaseen, Deo RC, et al. (2017). Predicting compressive strength of lightweight foamed concrete using extreme learning machine model.Advances in Engineering Software. 115, 112-125.

[Impact Factor = 3.000, Quartile 1, Cited 0 times]

  1. Haijiao Yu, Xiaohu Wen, Qi Feng, Deo RC, Jianhua Si, Min Wu. (2017). Comparative study of hybrid-wavelet Artificial Intelligence models for monthly groundwater depth forecasting in extreme arid regions, northwest China. Water Resource Management. 32(1), 301–323.

[Impact Factor = 2.930, Quartile 1, Cited 0 times]

  1. Zaher Mundher Yaseen, Mazen Ismaeel Ghareb, Isa Ebtehaj, Hossein Bonakdari, Ridwan Siddique, Salim HEDDAM, Ali Yusif, Deo RC (2017). Rainfall pattern forecasting using novel hybrid intelligent model based ANFIS-FFA. Water Resource Management. 32(1), 105–122.

[Impact Factor = 2.930, Quartile 1, Cited 2 times]

  1. Thong Huy Nguyen, Deo RC, et al. (2017). Copula-statistical precipitation forecasting model in Australia's Agro-ecological Zones. Agricultural Water Management. 191, 153-172.

[Impact Factor = 2.848, Quartile 1, Cited 0 times]

  1. Linshan Yang, Qi Feng, Zhenliang Yin, Xiaohu Wen, Jianhua Si, Changbin Li, Deo RC (2017). Identifying Separate Impacts of Climate and Land Use/Cover Change on Hydrological Processes in Upper Stream of Heihe River, Northwest China. Hydrological Processes. 31(5), 1100–1112.

[Impact Factor = 2.768, Quartile 1, Cited 4 times]

  1. Mohammed Falah Allawi, Othman Jaafar, Firdaus Mohamad Hamzah, Nuruol Syuhadaa Mohd, Deo RC, Ahmed El-Shafie. (2017). Reservoir inflow forecasting with a modified Coactive Neuro-Fuzzy Inference System: A case study for a semi-arid region. Theoretical and Applied Climatology. 134 (1-2), 545–563.

[Impact Factor = 2.640, Quartile 2, Cited 0 times]

  1. Ghorbani MA, Deo RC, et al. (2017). Pan Evaporation Prediction Using a Hybrid Multilayer Perceptron-Firefly Algorithm (MLP-FFA) Model: Case study in North Iran. Theoretical and Applied Climatology. 133 (3-4), 1119–1131.

[Impact Factor = 2.640, Quartile 2, Cited 4 times]

  1. Liu Wei, Qi Feng, Deo RC (2017). Changes in climatic elements in the Pan-Hexi region during 1960-2014 and responses to global climatic changes. Theoretical and Applied Climatology. DOI: 10.1007/s00704-017-2194-6

[Impact Factor = 2.640, Quartile 2, Cited 0 times]

  1. Shan H, Feng Qi, Zhixiang L, Xiaohu W, Deo RC (2017). Trend Analysis of Water Poverty Index for Assessment of Water Stress and Water Management Polices in Hexi Corridor, China. Sustainability, 9(756).

[Impact Factor = 1.960, Quartile 2, Cited 0 times]

  1. Do-Woo Kim, Deo RC, Jong-Seol Lee, Jong-Min Yeom (2017). Mapping heatwave vulnerability in Korea. Natural Hazards, 89(1), 35 – 55.

[Impact Factor = 1.746, Quartile 1, Cited 0 times]

  1. Jong-Min Yeom, Deo RC, et al. (2017). Synthetic retrieval of hourly net ecosystem exchange using the neural network model with combined MI and GOCI geostationary sensor datasets and ground-based measurements. International Journal of Remote Sensing. 38(23), 7441-7456.

[Impact Factor = 1.640, Quartile 1, Cited 0 times]

  1. Xiaohong Ma, Qi Feng, Tengfei Yu, Yonghong Su, Deo RC (2017). Carbon Dioxide Fluxes and Their Environmental Controls in a Riparian Forest within the Hyper-Arid Region of Northwest China. Forests. 8(10), 379.

[Impact Factor = 1.951, Quartile 1, Cited 0 times]

  1. Bahare Raheli, Mohammad Taghi Aalami, Ahmed El-Shafie, Mohammad Ali Ghorbani, Deo RC (2017). Uncertainty assessment of the multi-layer perceptron (MLP) neural network model with implementation of the novel hybrid MLP-FFA method for prediction of biochemical oxygen demand and dissolved oxygen: a case study of Langat River. Environmental Earth Sciences. 76:503.

[Impact Factor = 1.569, Quartile 2, Cited 4 times]

  1. Zhao CY, Si JH, Qi F, Deo RC, Yu TF, Li PD. (2017). Physiological response to salinity stress and tolerance mechanics of Populus euphratica. Environmental Monitoring and Assessment. 189(1): 533

[Impact Factor = 1.804, Quartile 2, Cited 0 times]

  1. Zhenliang Yin, Qi Feng, Shiyin Liu, Songbing Zou, Jing Li, Linshan Yang and Deo RC (2017). The Spatial and The Spatial and Temporal Contribution of Glacier Runoff to Watershed Discharge in the Yarkant River Basin, Northwest China. Water. 9(3), 159.

[Impact Factor = 1.920, Quartile 2, Cited 0 times]

  1. Linshan Yang, Qi Feng, Zhenliang Yin, Deo RC, Xiao-Hu Wen, Jianhua Si and Changbin Li. (2017). Separation of the climatic and land cover impacts on the flow regime changes in two watersheds of Northeastern Tibetan Plateau. Advances in Meteorology.

[Impact Factor = 1.190, Quartile 2]

  1. Yu Zhao, Qi Feng, Haiyang Xi, Huiya Li, Huaide Yanga, Deo RC (2017). Association between plant species diversity and edaphic factors in the lower reaches of the Heihe River, northwestern China. Chemistry and Ecology, 33(3), 181-195.

[Impact Factor = 1.350, Quartile 2, Cited 0 times]

  1. Deo RC, Samui Pijush (2017). Forecasting evaporative loss by least square support vector regression and evaluation with genetic programming, gaussian process and minimax probability machine regression: a case study for Brisbane City. ASCE Journal of Hydrologic Engineering, 22(6)

[Impact Factor = 1.350, Quartile 1, Cited 4 times]

  1. Zhao CY, Si JH, Qi F, Yu TF, Deo RC, Luo H (2017). Effects of ecological water transport on photosynthesis and chlorophyll fluorescence of Populus euphratica. Water Science and Technology: Water Supply, 18 (5): 1747-1756.

[Impact Factor = 0.430] 

2016, Total Citation = 220 

  1. Deo RC, Wen X, Qi, F (2016). “A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset”. Applied Energy, 168, 563 – 598. [Winner – Publications Excellence Award]

[Impact Factor = 7.200, Quartile 1, Cited 36 times]

  1. Zaher, MY, Jaafar, O, Deo RC, Adamowski, J, Kisi, O, John Quilty, Ahmed El-shafie (2016) Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq”. Journal of Hydrology. 542: 602 – 614

[Impact Factor = 3.770, Quartile 1, Cited 13 times]

  1. Deo RC, Samui, P. (2016). “Estimation of Monthly Evaporative Loss using Relevance Vector Machine, Extreme Learning Machine and Multivariate Adaptive Regression Spline Models”.Stochastic Environmental Research and Risk Assessment. 30(6), 1769–1784

[Impact Factor = 2.280, Quartile 1, Cited 13 times]

  1. Deo RC, Tiwari MK, Adamowski JF, Quilty J (2016). “Forecasting Effective Drought Index Using a Wavelet Extreme Learning Machine (W-ELM) Model”. Stochastic Environmental Research and Risk Assessment. DOI: 10.1007/s00477-016-1265-z.

[Impact Factor = 2.280, Quartile 1, Cited 17 times]

  1. Do-Woo Kim, Deo RC, Jea-Hak Chung, Jong-Seol Lee (2016). “Projection of heat wave mortality related to climate change in Korea”. Natural Hazards. 80(1), 623 – 631:

[Impact Factor = 1.730, Quartile 1, Cited 7 times]

  1. Salcedo-Sanz, S., Deo R. C., Carro-Calvo, L., Saavedra-Moreno, B. (2016) “Monthly prediction of air temperature in Australia and New Zealand with machine learning algorithms”. Theoretical and Applied Climatology. 125(1), 13 – 25

[Impact Factor = 2.433, Quartile 2, Cited 10 times]

  1. Deo RC, Sahin, M (2016). “An extreme learning machine model for simulating monthly mean streamflow water level in Eastern Queensland”. Environmental Monitoring and Assessment. 188:90

[Impact Factor = 1.710, Quartile 2, Cited 18 times]

  1. Kim, S-J., Byun, H-R., Deo RC(2016). “A quantitative definition and spatiotemporal distributions of Little Water Season (LIWAS) in Korea”. Asia Pacific Journal of Atmospheric Sciences, 21 March 2016.

[Impact Factor = 1.340, Quartile 2, Cited 0 times] 

2015 

  1. Deo RC, Byun, Hi-R, Adamowski, JF, Kim, DW (2015). “A real-time flood monitoring index based on daily effective precipitation and its application to Brisbane and Lockyer Valley flood events”. Water Resources Management. 29(1), 4075-4093.

[Impact Factor = 2.930, Quartile 1, Cited 7 times] 

  1. Deo RC, Sahin, M (2015) “Application of the Artificial Neural Network model for prediction of monthly Standardized Precipitation and Evapotranspiration Index using hydrometeorological parameters and climate indices in eastern Australia” Atmospheric Research. 161-162. 65-81

[Impact Factor = 3.370, Quartile 1, Cited 36 times] 

  1. Deo RC, Sahin, M (2015) “Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia”. Atmospheric Research. 15, 512-525

[Impact Factor = 3.370, Quartile 2, Cited 46 times] 

  1. Park, Chang-Kyun and Byun, HR, Deo RC, Kee, Bo-Ra (2015) “Drought prediction till 2100 under RCP 8.5 climate change scenarios for Korea”. Journal of Hydrology. 526, 221-230

[Impact Factor = 3.770, Quartile 1, Cited 17 times] 

2014 

  1. Liu, Y., Zhang, J., Deo, R. C., Mi, J., Nathan, GJ, Zhu, R. (2014) “Influence of sidewalls on the centerline small-scale turbulence of a turbulent high-aspect-ratio rectangular jet”. Experimental Thermal and Fluid Science, 58, 139-144.

[Impact Factor = 2.300, Quartile 1, Cited 0 times] 

2013 

  1. Deo, RC, Nathan, GJ, Mi, J (2013) “Similarity analysis of the momentum field of a subsonic, plane air jet with varying jet-exit and local Reynolds numbers”. Physics of Fluids, 25 (1). 015115-1

[Impact Factor = 1.710, Quartile 1, Cited 12 times] 

2011 

  1. Deo, RC (2011) “Links between native forest and climate in Australia”. Weather, 66 (3), 64-69.

[Impact Factor = 0.81, Quartile 3] 

  1. Deo, RC (2011). “On meteorological droughts in tropical Pacific Islands: time-series analysis of observed rainfall using Fiji as a case study”. Meteorological Applications, 18 (2), 171-180.

[Impact Factor = 1.411, Quartile 2]  

2010

  1. Mahmood, Rezaul … Deo, RC, Syktus, JI (2010) “Impacts of land use/land cover change on climate and future research priorities”. Bulletin of the American Meteorological Society, 91 (1), 37-46

[Impact Factor = 6.160, Quartile 1]

Text

2009 

  1. McAlpine, CA, Syktus, JI, Ryan, JG, Deo, RC, et al. (2009) “A continent under stress: interactions, feedbacks and risks associated with impact of modified land cover on Australia’s climate”. Global Change Biology, 15 (9), 2206-2223

[Impact Factor = 8.140, Quartile 1] 

  1. Mi, Jianchun and Feng, Baoping and Deo, RC, Nathan, Graham J. (2009) “Effect of exit Reynolds number on self-preservation of a plane jet”. Acta Physica Sinica, 58 (11), 7756-7764 
  1. Deo, RC, Syktus, JI., McAlpine, CA., et al (2009) “Impact of historical land cover change on daily indices of climate extremes including droughts in eastern Australia”. Geophysical Research Letters, 36 (8), 1-5.

[Impact Factor = 4.060, Quartile 1] 

  1. Highlight in Nature (2009): Based on paper published in Geophysical Research Letters (2009). Findings linking deforestation with extremes [Nature 458, 1081 (30 April 2009) | doi:10.1038/4581081d; 29 April].

[Impact Factor = 24.46, Quartile 1]

 

2008 

  1. Deo, RC, Mi, J, Nathan, GJ. (2008). “The influence of Reynolds number on a plane jet”. Physics of Fluids, 20 (7). 075108-1.

[Impact Factor = 1.770, Quartile 1]

 

2007 

  1. Deo, RC, Nathan, GJ, Mi, J (2007) “Comparison of turbulent jets issuing from rectangular nozzles with and without sidewalls”. Experimental Thermal and Fluid Science, 32(2), 596-06

[Impact Factor = 2.300, Quartile 1] 

  1. Deo, RC, Mi, J, Nathan, GJ (2007) “The influence of nozzle aspect ratio on plane jets”. Experimental Thermal and Fluid Science, 31 (8), 825-838

[Impact Factor = 2.300, Quartile 1] 

  1. McAlpine, C. A., Syktus, J., Deo, RC, Lawrence, PJ, et al. (2007) “Modelling Geophysical Research Letters, 34 (22), L22711-1

[Impact Factor = 4.060, Quartile 1] 

  1. Deo RC, Mi, J, Nathan, GJ. (2007). “The influence of nozzle-exit geometric profile on statistical properties of a turbulent plane jet”. Experimental Thermal Fluid Science, 32 (2), 545

[Impact Factor = 2.300, Quartile 1]

 

2006 

  1. Kumar, Vickal V., Deo, RC, et al (2006) “Total rain accumulation and rain-rate analysis for small tropical Pacific islands: a case study of Suva, Fiji”. Atmospheric Science Letters, 7 (3), 53-58.

[Impact Factor = 1.910, Quartile 2]

 

2005

  1. Mi, J. and Deo, R. C and Nathan, G. J. (2005) “Characterization of turbulent jets from high-aspect-ratio rectangular nozzles”. Physics of Fluids, 17 (6), 1-4.

[Impact Factor = 1.770, Quartile 1]

  1. Mi, J, Deo, RC, Nathan, GJ (2005) “Fast-convergent iterative scheme for filtering velocity signals and finding Kolmogorov scales”. Physical Review E: Statistical, Nonlinear and Soft Matter Physics, 71 (6), 1-5

[Impact Factor = 2.000, Quartile 2]

Refereed Conference Proceedings

Refereed Conference Papers

  1. Mohanad S AL-Musaylh, Deo RC, Yan Li. (2018). Particle Swarm Optimized–Support Vector Regression Hybrid Model for Daily Horizon Electricity Demand Forecasting Using Climate Dataset. In: The 3rd International Conference on Power and Renewable Energy. Berlin, Germany | September 21-24, 2018. 
  2. McCarthy, Deo RC, Li Y, Maraseni T. (2017). Re-Imagining Standard Timescales used in Machine Learning Approaches to Forecasting Precipitation Events for Queensland’s Grazing Enterprises. In MODSIM2017, 22nd International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2017 
  3. S. Dayal., R. C. Deo, and A. A. Apan, (2017) “Application of artificial neural network algorithms for prediction of standardized precipitation index in Queensland, Australia”, In Proc: IEEE TENCON – Technology for Smart Nation, November 22-25 2016, Singapore. 
  4. S. Dayaland R. C. Deo, “A drought model based on artificial intelligence techniques using neural network algorithms”, Oceanography 2016 pre-conference workshop ‘Contemporary Problems of Physical Oceanography and Marine Biology’, University of Southern Queensland, March 31 2016. 
  5. S. Dayal., R. C. Deo, and A. A. Apan, “A drought model based on artificial intelligence techniques using neural network algorithms”, The Australian Energy and Water Exchange Initiative 2nd National Workshop (OzEWEX) Gold Coast, Australia, December 2 2015 
  6. Mossad, R and Deo Ravinesh C (2015). “Numerical modeling of the velocity field of a plane jet flow at moderate jet exit Reynolds numbers” In Proc: Eleventh International Conference on CFD in the Minerals and Process Industries CSIRO, Melbourne, 7-9 December 2015: 
  7. Mouatadid, S, Deo Ravinesh C, Adamowski, JF (2015). “Prediction of SPEI using MLR and ANN: A case study for Wilsons Promontory Station in Victoria”. In Proc: 14th International Conference on Machine Learning and Applications (IEEE ICMLA'15), Miami, Florida, USA, December 9-11, 2015 
  8. Shukla, R, Khare, D, Deo Ravinesh C (2015). “Statistical Downscaling of Climate Change Scenarios of Rainfall and Temperature over Indira Sagar Canal Command area in Madhya Pradesh, India”. In Proc: 14th International Conference on Machine Learning and Applications (IEEE ICMLA'15), USA, Dec 9-11, 2015 
  9. Deo, R. C. and Byun, H. R. and Adamowski, J. F. and Kim, D. W. (2014) “Diagnosis of flood events in Brisbane (Australia) using a flood index based on daily effective precipitation”. In: International Conference on Analysis and Management of Changing Risks for Natural Hazards, 18‐19 Nov, Padua, Italy. 
  10. Byun, H. R. and Kim, D. W. and Choi, K. S. and Deo, R. C. and Lee, S. M. and Park, C. K. and Kwon, S. H. and Kim, G. B. and Kwon, H. N. (2014) “On the new concept of the available water climatology and its application”. In: American Geophysical Union, Fall Meeting 2014, 15-19 Dec 2014 
  11. Byun HR, Kim Do-Woo, Choi K-S, Deo RC, Lee, S-M, Lim B-H, Park C-G, Kwon SH, Kim G-B, Kwon H-N. (2014). “The Available Water Climatology (AWC) and its applications” Invited Paper (HR Byun). APEC Climate Symposium on Managing Climate Extremes and Hydrologic Disasters (Nanjing). October 27-29 
  12. Deo, RC (2013) “Comparative analysis of turbulent plane jets from a sharp-edged orifice, a bevelled-edge orifice and a radially contoured nozzle”. International Journal of Mechanical, Industrial Science and Engineering, 7 (12). 1471-1480. 
  13. Deo, Ravinesh C. (2013) “The role of nozzle-exit conditions on the flow field of a plane jet”. International Journal of Mechanical, Industrial Science and Engineering, 7 (12). 1059-1069. 
  14. Deo, Ravinesh (2011) “Designing an evaluation of a tertiary preparatory program within the university context”. In: PAMA 2011: Global Educators for Contemporary Learning Communities, 30 May, Australia. 
  15. Deo, RC, Nathan, GJ, Mi, J (2010) “On the influence of initial conditions on a turbulent plane jet: the role of nozzle exit area”. In: 17th Australasian Fluid Mechanics Conference (AFMC 2010), 5-9 Dec 2010, Auckland, New Zealand 
  16. McAlpine, CA, Syktus, J, Deo, RC, Lawrence, PJ, at al. (2009) “Modelling impacts of vegetation cover change on regional climate”. Project Report. Land and Water Australia, Canberra, Australia.
  17.  Deo, RC, Syktus, JI, et al (2009) “The simulated impact of land cover change on climate extremes in eastern Australia”. In: 18th World IMACS Congress and International Congress on Modelling and Simulation (MODSIM09): 13-17 Jul, Cairn 
  18. Deo, RC, Mi, Jianchun, Nathan, Graham J. (2007) “Experimental investigations of the effect of Reynolds number on a plane jet”. In: 16th Australasian Fluid Mechanics Conference (AFMC 2007), 3-7 Dec 2007, Gold Coast, Queensland. 
  19. Syktus, JI, Deo, RC., McAlpine, CA. et al (2007) “Impact of land cover change on regional climate and El Nino in Australia”. In: MODSIM07: International Congress on Modelling and Simulation: 10-13 Dec, New Zealand 
  20. Deo, RC., McAlpine, CA. et al (2007) “On Australian heat waves: time series analysis of extreme temperature events in Australia, 1950–2005”. In: MODSIM07: International Congress on Modelling and Simulation: 10-13 Dec, New Zealand 
  21. Deo, RC, Mi, J, Nathan, GJ. (2005) “Dependence of a plane turbulent jet on its nozzle contraction profile”. In: Jets, Wakes and Separated Flows: International Conference on Jets, Wakes and Separated Flows (ICJWSF), 5-8 Oct, Japan. 
  22. Deo, R. C. and Mi, J. and Nathan, G. J. (2004) “An investigation of the influence of nozzle aspect ratio on the velocity field of turbulent plane jet”. In: 15th Australasian Fluid Mechanics Conference, 13-17 Dec 2004 
  23. Deo, Ravinesh (2004) “An investigation on rainfall patterns and the general circulation in the southwest Pacific region”. In: 16th Australia New Zealand Climate Forum: Climate and Water, 8-10 Nov 2004 
  24. Deo, Ravinesh (2004) “Climatology of tropical cyclones in the South Pacific Region and their relationships to El Niño events”. In: 16th Australian New Zealand Climate Forum: Climate and Water, 8-10 Nov 

 

Updated on 22 April 2019, 13:49; 5030 page visits from 15 July 2015 to 22 November 2024