| Ensemble machine learning paradigms in hydrology: A review M Zounemat-Kermani, O Batelaan, M Fadaee, R Hinkelmann Journal of Hydrology 598, 126266, 2021 | 383 | 2021 |
| Solar radiation prediction using different techniques: model evaluation and comparison L Wang, O Kisi, M Zounemat-Kermani, GA Salazar, Z Zhu, W Gong Renewable and Sustainable Energy Reviews 61, 384-397, 2016 | 298 | 2016 |
| 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 | 295 | 2009 |
| Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs RM Adnan, Z Liang, S Heddam, M Zounemat-Kermani, O Kisi, B Li Journal of Hydrology 586, 124371, 2020 | 244 | 2020 |
| 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 | 213 | 2022 |
| Using adaptive neuro-fuzzy inference system for hydrological time series prediction M Zounemat-Kermani, M Teshnehlab Applied soft computing 8 (2), 928-936, 2008 | 206 | 2008 |
| Daily streamflow prediction using optimally pruned extreme learning machine RM Adnan, Z Liang, S Trajkovic, M Zounemat-Kermani, B Li, O Kisi Journal of Hydrology 577, 123981, 2019 | 181 | 2019 |
| 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 | 176 | 2011 |
| Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization RM Adnan, RR Mostafa, O Kisi, ZM Yaseen, S Shahid, ... Knowledge-Based Systems 230, 107379, 2021 | 164 | 2021 |
| Estimation of current-induced scour depth around pile groups using neural network and adaptive neuro-fuzzy inference system M Zounemat-Kermani, AA Beheshti, B Ataie-Ashtiani, SR Sabbagh-Yazdi Applied Soft Computing 9 (2), 746-755, 2009 | 157 | 2009 |
| Evaluation of data driven models for river suspended sediment concentration modeling M Zounemat-Kermani, Ö Kişi, J Adamowski, A Ramezani-Charmahineh Journal of Hydrology 535, 457-472, 2016 | 147 | 2016 |
| A comparative study of several machine learning based non-linear regression methods in estimating solar radiation: Case studies of the USA and Turkey regions M Alizamir, S Kim, O Kisi, M Zounemat-Kermani Energy 197, 117239, 2020 | 133 | 2020 |
| Long-term monthly evapotranspiration modeling by several data-driven methods without climatic data O Kisi, H Sanikhani, M Zounemat-Kermani, F Niazi Computers and Electronics in Agriculture 115, 66-77, 2015 | 129 | 2015 |
| Pan evaporation modeling using six different heuristic computing methods in different climates of China L Wang, O Kisi, M Zounemat-Kermani, H Li Journal of Hydrology 544, 407-427, 2017 | 128 | 2017 |
| Neurocomputing in surface water hydrology and hydraulics: A review of two decades retrospective, current status and future prospects M Zounemat-Kermani, E Matta, A Cominola, X Xia, Q Zhang, Q Liang, ... Journal of Hydrology 588, 125085, 2020 | 116 | 2020 |
| Modeling soil temperatures at different depths by using three different neural computing techniques O Kisi, M Tombul, MZ Kermani Theoretical and applied climatology 121, 377-387, 2015 | 116 | 2015 |
| Climate change, water quality and water-related challenges: a review with focus on Pakistan T Ahmed, M Zounemat-Kermani, M Scholz International journal of environmental research and public health 17 (22), 8518, 2020 | 115 | 2020 |
| Drought forecasting using novel heuristic methods in a semi-arid environment O Kisi, AD Gorgij, M Zounemat-Kermani, A Mahdavi-Meymand, S Kim Journal of Hydrology 578, 124053, 2019 | 112 | 2019 |
| 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 | 100 | 2013 |
| Prediction of solar radiation in China using different adaptive neuro‐fuzzy methods and M5 model tree L Wang, O Kisi, M Zounemat‐Kermani, Z Zhu, W Gong, Z Niu, H Liu, Z Liu International Journal of Climatology 37 (3), 1141-1155, 2017 | 99 | 2017 |
Ozgur KisiDepartment of Civil Engineering, University of Applied Sciences, Lübeck, GermanyBestätigte E-Mail-Adresse bei th-luebeck.de
