| Modeling energy dissipation over stepped spillways using machine learning approaches K Roushangar, S Akhgar, F Salmasi, J Shiri Journal of Hydrology 508, 254-265, 2014 | 104 | 2014 |
| Comparison of machine learning models for predicting fluoride contamination in groundwater EF Rahim Barzegar, Asghar Asghari Moghaddam, Jan Adamowski Stochastic Environmental Research and Risk Assessment 31 (10), 2705-2718, 2017 | 89 | 2017 |
| Determining discharge coefficient of labyrinth and arced labyrinth weirs using support vector machine K Roushangar, MT Alami, J Shiri, MM Asl Hydrology research 49 (3), 924-938, 2018 | 86 | 2018 |
| Evaluation of GA-SVR method for modeling bed load transport in gravel-bed rivers K Roushangar, A Koosheh Journal of Hydrology 527, 1142-1152, 2015 | 79 | 2015 |
| Evaluation of a two-stage SVM and spatial statistics methods for modeling monthly river suspended sediment load V Nourani, F Alizadeh, K Roushangar Water Resources Management 30, 393-407, 2016 | 64 | 2016 |
| Modeling river total bed material load discharge using artificial intelligence approaches (based on conceptual inputs) K Roushangar, FV Mehrabani, J Shiri Journal of hydrology 514, 114-122, 2014 | 64 | 2014 |
| Exploring the effects of climatic variables on monthly precipitation variation using a continuous wavelet-based multiscale entropy approach K Roushangar, F Alizadeh, J Adamowski Environmental research 165, 176-192, 2018 | 53 | 2018 |
| Prediction of sediment transport rates in gravel-bed rivers using Gaussian process regression K Roushangar, S Shahnazi Journal of Hydroinformatics 22 (2), 249-262, 2020 | 51 | 2020 |
| Forecasting Daily Seepage Discharge of an Earth Dam Using Wavelet–Mutual Information–Gaussian Process Regression Approaches K Roushangar, S Garekhani, F Alizadeh Geotechnical and Geological Engineering 34 (5), 1313–1326, 2016 | 44 | 2016 |
| Evaluation of genetic programming-based models for simulating friction factor in alluvial channels K Roushangar, D Mouaze, J Shiri Journal of Hydrology 517, 1154-1161, 2014 | 43 | 2014 |
| Prediction of non-cohesive sediment transport in circular channels in deposition and limit of deposition states using SVM K Roushangar, R Ghasempour Water Science and Technology: Water Supply 17 (2), 537-551, 2017 | 37 | 2017 |
| Estimating discharge coefficient of stepped spillways under nappe and skimming flow regime using data driven approaches K Roushangar, S Akhgar, F Salmasi Flow Measurement and Instrumentation 59, 79-87, 2018 | 34 | 2018 |
| Improving capability of conceptual modeling of watershed rainfall–runoff using hybrid wavelet-extreme learning machine approach K Roushangar, F Alizadeh, V Nourani Journal of Hydroinformatics 20 (1), 69-87, 2018 | 34 | 2018 |
| A multiscale time-space approach to analyze and categorize the precipitation fluctuation based on the wavelet transform and information theory concept K Roushangar, V Nourani, F Alizadeh Hydrology Research 49 (3), 724-743, 2018 | 33 | 2018 |
| Modeling discharge coefficient of normal and inverted orientation labyrinth weirs using machine learning techniques K Roushangar, MT Alami, M Majedi Asl, J Shiri ISH Journal of Hydraulic Engineering 23 (3), 331-340, 2017 | 32 | 2017 |
| Predicting trapezoidal and rectangular side weirs discharge coefficient using machine learning methods K Roushangar, R Khoshkanar, J Shiri ISH Journal of Hydraulic Engineering 22 (3), 254-261, 2016 | 29 | 2016 |
| Scenario-based prediction of short-term river stage–discharge process using wavelet-EEMD-based relevance vector machine K Roushangar, F Alizadeh Journal of Hydroinformatics 21 (1), 56-76, 2019 | 28 | 2019 |
| Entropy-based analysis and regionalization of annual precipitation variation in Iran during 1960–2010 using ensemble empirical mode decomposition K Roushangar, F Alizadeh Journal of Hydroinformatics 20 (2), 468-485, 2018 | 27 | 2018 |
| Predicting characteristics of dune bedforms using PSO-LSSVM K Roushangar, SM Saghebian, D Mouaze International Journal of Sediment Research 32 (4), 515-526, 2017 | 27 | 2017 |
| Bed load prediction in gravel-bed rivers using wavelet kernel extreme learning machine and meta-heuristic methods K Roushangar, S Shahnazi International Journal of Environmental Science and Technology 16, 8197-8208, 2019 | 26 | 2019 |
Farhad AlizadehFaculty of Civil and Environmental Engineering, Department of water resources, University of TabrizVerified email at tabrizu.ac.ir
