| A review of the artificial intelligence methods in groundwater level modeling T Rajaee, H Ebrahimi, V Nourani Journal of hydrology 572, 336-351, 2019 | 388 | 2019 |
| Daily suspended sediment concentration simulation using ANN and neuro-fuzzy models T Rajaee, SA Mirbagheri, M Zounemat-Kermani, V Nourani Science of the total environment 407 (17), 4916-4927, 2009 | 306 | 2009 |
| Artificial intelligence-based single and hybrid models for prediction of water quality in rivers: A review T Rajaee, S Khani, M Ravansalar Chemometrics and Intelligent Laboratory Systems 200, 103978, 2020 | 219 | 2020 |
| Simulation of groundwater level variations using wavelet combined with neural network, linear regression and support vector machine H Ebrahimi, T Rajaee Global and Planetary Change 148, 181-191, 2017 | 184 | 2017 |
| River suspended sediment load prediction: application of ANN and wavelet conjunction model T Rajaee, V Nourani, M Zounemat-Kermani, O Kisi Journal of Hydrologic Engineering 16 (8), 613-627, 2011 | 175 | 2011 |
| Wavelet and ANN combination model for prediction of daily suspended sediment load in rivers T Rajaee Science of the total environment 409 (15), 2917-2928, 2011 | 175 | 2011 |
| Prediction of daily suspended sediment load using wavelet and neurofuzzy combined model T Rajaee, SA Mirbagheri, V Nourani, A Alikhani International Journal of Environmental Science & Technology 7, 93-110, 2010 | 116 | 2010 |
| Wavelet-linear genetic programming: A new approach for modeling monthly streamflow M Ravansalar, T Rajaee, O Kisi Journal of Hydrology 549, 461-475, 2017 | 111 | 2017 |
| Performance of radial basis and LM-feed forward artificial neural networks for predicting daily watershed runoff M Zounemat-Kermani, O Kisi, T Rajaee Applied Soft Computing 13 (12), 4633-4644, 2013 | 103 | 2013 |
| Hybrid SWMM and particle swarm optimization model for urban runoff water quality control by using green infrastructures (LID-BMPs) S Taghizadeh, S Khani, T Rajaee Urban Forestry & Urban Greening 60, 127032, 2021 | 96 | 2021 |
| Prioritization of water allocation for adaptation to climate change using multi-criteria decision making (MCDM) P Golfam, PS Ashofteh, T Rajaee, X Chu Water Resources Management 33, 3401-3416, 2019 | 93 | 2019 |
| Multi-criteria decision-making model for wastewater reuse application: a case study from Iran A Hadipour, T Rajaee, V Hadipour, S Seidirad Desalination and Water Treatment 57 (30), 13857-13864, 2016 | 72 | 2016 |
| Forecasting of chlorophyll-a concentrations in South San Francisco Bay using five different models T Rajaee, A Boroumand Applied Ocean Research 53, 208-217, 2015 | 70 | 2015 |
| Application of artificial intelligence-based single and hybrid models in predicting seepage and pore water pressure of dams: A state-of-the-art review B Beiranvand, T Rajaee Advances in Engineering Software 173, 103268, 2022 | 59 | 2022 |
| Evaluation of wavelet performance via an ANN-based electrical conductivity prediction model M Ravansalar, T Rajaee Environmental Monitoring and Assessment 187 (6), 366, 2015 | 54 | 2015 |
| Neuro-fuzzy models employing wavelet analysis for suspended sediment concentration prediction in rivers SA Mirbagheri, V Nourani, T Rajaee, A Alikhani Hydrological Sciences Journal–Journal des Sciences Hydrologiques 55 (7 …, 2010 | 51 | 2010 |
| Modeling of dissolved oxygen concentration and its hysteresis behavior in rivers using wavelet transform‐based hybrid models S Khani, T Rajaee CLEAN–Soil, Air, Water 45 (2), 2017 | 46 | 2017 |
| Wavelet and Neuro‐fuzzy Conjunction Approach for Suspended Sediment Prediction T Rajaee CLEAN–Soil, Air, Water 38 (3), 275-286, 2010 | 45 | 2010 |
| Assessment of water resources development projects under conditions of climate change using efficiency indexes (EIs) PS Ashofteh, T Rajaee, P Golfam Water Resources Management 31 (12), 3723-3744, 2017 | 41 | 2017 |
| Two decades on the artificial intelligence models advancement for modeling river sediment concentration: State-of-the-art T Rajaee, H Jafari Journal of Hydrology 588, 125011, 2020 | 39 | 2020 |