| 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 | 47 | 2023 |
| 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 |
| 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 |
| Degradation of Reactive Red 198 (RR198) from aqueous solutions by advanced oxidation processes (AOPS): O3, H2O2/O3 and H2O2/ultrasonic AV M. A. Karami, K. Sharafi, A. Asadi, A. Bagheri, F. Yosefvand, S. Sh ... Bulgarian Chemical Communications 48, 43-49, 2016 | 31 | 2016 |
| 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 |
| 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 | 25 | 2023 |
| Optimization of ANFIS network using firefly algorithm for simulating discharge coefficient of side orifices RG Moghadam, MA Izadbakhsh, F Yosefvand, S Shabanlou Applied Water Science 9 (4), 84, 2019 | 23 | 2019 |
| Effects of climate change on groundwater level variations affected by uncertainty (case study: Razan aquifer) MM Fallahi, S Shabanlou, A Rajabi, F Yosefvand, MA IzadBakhsh Applied Water Science 13 (6), 143, 2023 | 20 | 2023 |
| Modelling and prediction of groundwater level using wavelet transform and machine learning methods: A case study for the Sahneh Plain, Iran E Azizi, F Yosefvand, B Yaghoubi, MA Izadbakhsh, S Shabanlou Irrigation and Drainage 72 (3), 747-762, 2023 | 18 | 2023 |
| Discharge coefficient of side weirs on converging channels using extreme learning machine modeling method S Zarei, F Yosefvand, S Shabanlou Measurement 152, 107321, 2020 | 15 | 2020 |
| Prediction of groundwater level fluctuations using artificial intelligence-based models and GMS. Appl Water Sci 13: 54 KS Mohammed, S Shabanlou, A Rajabi, F Yosefvand, MA Izadbakhsh | 11 | 2023 |
| Exploring the sample size and replications scenarios effect on spatial prediction of flood, using MARS and MaxEnt methods case study: saliantape catchment, Golestan, Iran A Rajabi, S Shabanlou, F Yosefvand, A Kiani Natural Hazards 109 (1), 871-901, 2021 | 11 | 2021 |
| Estimation of scour depth around cross-vane structures using a novel non-tuned high-accuracy machine learning approach AH Azimi, S Shabanlou, F Yosefvand, A Rajabi, B Yaghoubi Sādhanā 45 (1), 152, 2020 | 11 | 2020 |
| Optimization of ANFIS network using particle swarm optimization modeling of scour around submerged pipes RG Moghadam, S Shabanlou, F Yosefvand Journal of Marine Science and Application 19, 444-452, 2020 | 8 | 2020 |
| Optimization of integrated operation of surface and groundwater resources using Multi-Objective Grey Wolf Optimizer (MOGWO) algorithm A Torabi, F Yosefvand, S Shabanlou, A Rajabi, B Yaghoubi Water Resources Management 38 (6), 2079-2099, 2024 | 7 | 2024 |
| Optimal operation of water resources systems using MOICA algorithm with reservoir hedging approach in low‐water regions E Yarmohammadi, MA Izadbakhsh, A Rajabi, F Yosefvand, S Shabanlou Irrigation and Drainage 71 (2), 406-417, 2022 | 7 | 2022 |
| Estimation of water level fluctuations in groundwater through a hybrid learning machine. Groundw Sustain Dev 15: 100687 A Azizpour, MA Izadbakhsh, S Shabanlou, F Yosefvand, A Rajabi | 7 | 2021 |
| Prediction of groundwater level using GMDH artificial neural network based on climate change scenarios E Azizi, F Yosefvand, B Yaghoubi, MA Izadbakhsh, S Shabanlou Applied Water Science 14 (4), 77, 2024 | 6 | 2024 |
| A new non‐tuned self‐adaptive machine‐learning approach for simulating the discharge coefficient of labyrinth weirs P Norouzi, A Rajabi, MA Izadbakhsh, S Shabanlou, F Yosefvand, ... Irrigation and Drainage 69 (3), 398-416, 2020 | 6 | 2020 |