| Simulation of groundwater level using MODFLOW, extreme learning machine and Wavelet-Extreme Learning Machine models M Malekzadeh, S Kardar, S Shabanlou Groundwater for Sustainable Development 9, 100279, 2019 | 95 | 2019 |
| Combination of computational fluid dynamics, adaptive neuro-fuzzy inference system, and genetic algorithm for predicting discharge coefficient of rectangular side orifices H Azimi, S Shabanlou, I Ebtehaj, H Bonakdari, S Kardar Journal of Irrigation and Drainage Engineering 143 (7), 04017015, 2017 | 73 | 2017 |
| A novel approach for prediction of monthly ground water level using a hybrid wavelet and non-tuned self-adaptive machine learning model M Malekzadeh, S Kardar, K Saeb, S Shabanlou, L Taghavi Water resources management 33, 1609-1628, 2019 | 70 | 2019 |
| A comparative study of artificial intelligence models and a statistical method for groundwater level prediction M Poursaeid, AH Poursaeid, S Shabanlou Water Resources Management 36 (5), 1499-1519, 2022 | 55 | 2022 |
| Prediction of groundwater level fluctuations using artificial intelligence-based models and GMS KS Mohammed, S Shabanlou, A Rajabi, F Yosefvand, MA Izadbakhsh Applied Water Science 13 (2), 54, 2023 | 48 | 2023 |
| Free surface and velocity field in a circular channel along the side weir in supercritical flow conditions H Azimi, S Shabanlou, MS Salimi Flow Measurement and Instrumentation 38, 108-115, 2014 | 43 | 2014 |
| Estimation of total dissolved solids, electrical conductivity, salinity and groundwater levels using novel learning machines M Poursaeid, R Mastouri, S Shabanlou, M Najarchi Environmental Earth Sciences 79, 1-25, 2020 | 41 | 2020 |
| Forecasting of groundwater level using ensemble hybrid wavelet–self-adaptive extreme learning machine-based models F Yosefvand, S Shabanlou Natural Resources Research 29 (5), 3215-3232, 2020 | 38 | 2020 |
| Modelling qualitative and quantitative parameters of groundwater using a new wavelet conjunction heuristic method: wavelet extreme learning machine versus wavelet neural networks M Poursaeid, R Mastouri, S Shabanlou, M Najarchi Water and Environment Journal 35 (1), 67-83, 2021 | 37 | 2021 |
| A pareto design of evolutionary hybrid optimization of ANFIS model in prediction abutment scour depth H Azimi, H Bonakdari, I Ebtehaj, S Shabanlou, SH Ashraf Talesh, ... Sādhanā 44, 1-14, 2019 | 37 | 2019 |
| A novel approach using CFD and neuro-fuzzy-firefly algorithm in predicting labyrinth weir discharge coefficient S Shafiei, M Najarchi, S Shabanlou Journal of the Brazilian Society of Mechanical Sciences and Engineering 42, 1-19, 2020 | 36 | 2020 |
| Simulation of time-series groundwater parameters using a hybrid metaheuristic neuro-fuzzy model A Azizpour, MA Izadbakhsh, S Shabanlou, F Yosefvand, A Rajabi Environmental Science and Pollution Research, 1-17, 2022 | 33 | 2022 |
| Multi-objective optimization of quantitative-qualitative operation of water resources systems with approach of supplying environmental demands of Shadegan Wetland Z Goorani, S Shabanlou Journal of Environmental Management 292, 112769, 2021 | 33 | 2021 |
| Determining the scour dimensions around submerged vanes in a 180 bend with the gene expression programming technique S Shabanlou, H Azimi, I Ebtehaj, H Bonakdari Journal of Marine Science and Application 17, 233-240, 2018 | 32 | 2018 |
| The flow pattern in triangular channels along the side weir for subcritical flow regime H Azimi, S Shabanlou Flow Measurement and Instrumentation 46, 170-178, 2015 | 32 | 2015 |
| Climate index changes in future by using SDSM in Kermanshah, Iran. A Rajabi, S Shabanlou | 31 | 2012 |
| Modeling long-term rainfall-runoff time series through wavelet-weighted regularization extreme learning machine A Alizadeh, A Rajabi, S Shabanlou, B Yaghoubi, F Yosefvand Earth Science Informatics 14, 1047-1063, 2021 | 30 | 2021 |
| Estimation of water level fluctuations in groundwater through a hybrid learning machine A Azizpour, MA Izadbakhsh, S Shabanlou, F Yosefvand, A Rajabi Groundwater for Sustainable Development 15, 100687, 2021 | 27 | 2021 |
| Discharge coefficient of rectangular side weirs on circular channels H Azimi, S Shabanlou, I Ebtehaj, H Bonakdari International Journal of Nonlinear Sciences and Numerical Simulation 17 (7-8 …, 2016 | 27 | 2016 |
| Prediction of groundwater level variations using deep learning methods and GMS numerical model S Amiri, A Rajabi, S Shabanlou, F Yosefvand, MA Izadbakhsh Earth Science Informatics 16 (4), 3227-3241, 2023 | 26 | 2023 |