Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model ZM Yaseen, I Ebtehaj, H Bonakdari, RC Deo, AD Mehr, WHMW Mohtar, ... Journal of Hydrology 554, 263-276, 2017 | 236 | 2017 |
Comparative and comprehensive review of maximum power point tracking methods for PV cells MA Danandeh Renewable and Sustainable Energy Reviews 82, 2743-2767, 2018 | 217 | 2018 |
Groundwater level prediction using machine learning models: A comprehensive review H Tao, MM Hameed, HA Marhoon, M Zounemat-Kermani, S Heddam, ... Neurocomputing 489, 271-308, 2022 | 183 | 2022 |
Streamflow prediction using linear genetic programming in comparison with a neuro-wavelet technique A Danandeh Mehr, E Kahya, E Olyaie Journal of Hydrology 505, 240-249, 2013 | 173 | 2013 |
Genetic programming in water resources engineering: A state-of-the-art review AD Mehr, V Nourani, E Kahya, B Hrnjica, AMA Sattar, ZM Yaseen Journal of hydrology 566, 643-667, 2018 | 157 | 2018 |
Climate change impacts on meteorological drought using SPI and SPEI: case study of Ankara, Turkey A Danandeh Mehr, AU Sorman, E Kahya, M Hesami Afshar Hydrological Sciences Journal 65 (2), 254-268, 2020 | 152 | 2020 |
A hybrid support vector regression–firefly model for monthly rainfall forecasting A Danandeh Mehr, V Nourani, V Karimi Khosrowshahi, MA Ghorbani International Journal of Environmental Science and Technology 16, 335-346, 2019 | 140 | 2019 |
A comparative analysis among computational intelligence techniques for dissolved oxygen prediction in Delaware River E Olyaie, HZ Abyaneh, A Danandeh Mehr Geoscience Frontiers 8 (3), 517-527, 2017 | 130 | 2017 |
Successive-station monthly streamflow prediction using different artificial neural network algorithms A Danandeh Mehr, E Kahya, A Şahin, MJ Nazemosadat International Journal of Environmental Science and Technology 12 (7), 2191-2200, 2015 | 114 | 2015 |
A gene–wavelet model for long lead time drought forecasting A Danandeh Mehr, E Kahya, M Özger Journal of Hydrology 517, 691-699, 2014 | 109 | 2014 |
Performance comparison of an LSTM-based deep learning model versus conventional machine learning algorithms for streamflow forecasting M Rahimzad, A Moghaddam Nia, H Zolfonoon, J Soltani, ... Water Resources Management 35 (12), 4167-4187, 2021 | 108 | 2021 |
A novel intelligent deep learning predictive model for meteorological drought forecasting A Danandeh Mehr, A Rikhtehgar Ghiasi, ZM Yaseen, AU Sorman, ... Journal of Ambient Intelligence and Humanized Computing 14 (8), 10441-10455, 2023 | 104 | 2023 |
Identification of the trends associated with the SPI and SPEI indices across Ankara, Turkey A Danandeh Mehr, B Vaheddoost Theoretical and Applied Climatology 139 (3), 1531-1542, 2020 | 104 | 2020 |
Iran's agriculture in the anthropocene M Maghrebi, R Noori, R Bhattarai, Z Mundher Yaseen, Q Tang, ... Earth's Future 8 (9), e2020EF001547, 2020 | 99 | 2020 |
Trend analysis of hydroclimatological variables in Urmia lake basin using hybrid wavelet Mann–Kendall and Şen tests V Nourani, A Danandeh Mehr, N Azad Environmental Earth Sciences 77 (5), 2018 | 86 | 2018 |
Solar irradiance estimation models and optimum tilt angle approaches: A comparative study MA Danandeh Renewable and Sustainable Energy Reviews 92, 319-330, 2018 | 77 | 2018 |
A Pareto-optimal moving average-multigene genetic programming model for rainfall-runoff modelling A Danandeh Mehr, V Nourani Environmental Modelling & Software 92, 239-251, 2017 | 75 | 2017 |
An improved gene expression programming model for streamflow forecasting in intermittent streams AD Mehr Journal of hydrology 563, 669-678, 2018 | 68 | 2018 |
A Pareto-optimal moving average multigene genetic programming model for daily streamflow prediction A Danandeh Mehr, E Kahya Journal of Hydrology 549, 603-615, 2017 | 67 | 2017 |
Drought modeling using classic time series and hybrid wavelet-gene expression programming models S Mehdizadeh, F Ahmadi, AD Mehr, MJS Safari Journal of Hydrology 587, 125017, 2020 | 64 | 2020 |