| Applications of hybrid wavelet–artificial intelligence models in hydrology: a review V Nourani, AH Baghanam, J Adamowski, O Kisi Journal of Hydrology 514, 358-377, 2014 | 870 | 2014 |
| Streamflow forecasting using different artificial neural network algorithms Ö Kişi Journal of Hydrologic Engineering 12 (5), 532-539, 2007 | 501 | 2007 |
| Two hybrid artificial intelligence approaches for modeling rainfall–runoff process V Nourani, Ö Kisi, M Komasi Journal of Hydrology 402 (1-2), 41-59, 2011 | 458 | 2011 |
| Comparison of Mann–Kendall and innovative trend method for water quality parameters of the Kizilirmak River, Turkey O Kisi, M Ay Journal of Hydrology 513, 362-375, 2014 | 450 | 2014 |
| Suspended sediment estimation using neuro-fuzzy and neural network approaches/Estimation des matières en suspension par des approches neurofloues et à base de réseau de neurones O Kisi Hydrological sciences journal 50 (4), 2005 | 433 | 2005 |
| River flow modeling using artificial neural networks Ö Kişi Journal of Hydrologic Engineering 9 (1), 60-63, 2004 | 410 | 2004 |
| A wavelet-support vector machine conjunction model for monthly streamflow forecasting O Kisi, M Cimen Journal of Hydrology 399 (1-2), 132-140, 2011 | 404 | 2011 |
| Application of least square support vector machine and multivariate adaptive regression spline models in long term prediction of river water pollution O Kisi, KS Parmar Journal of Hydrology 534, 104-112, 2016 | 403 | 2016 |
| SVM, ANFIS, regression and climate based models for reference evapotranspiration modeling using limited climatic data in a semi-arid highland environment H Tabari, O Kisi, A Ezani, PH Talaee Journal of Hydrology 444, 78-89, 2012 | 387 | 2012 |
| Wavelet and neuro-fuzzy conjunction model for precipitation forecasting T Partal, Ö Kişi Journal of Hydrology 342 (1-2), 199-212, 2007 | 384 | 2007 |
| Daily water level forecasting using wavelet decomposition and artificial intelligence techniques Y Seo, S Kim, O Kisi, VP Singh Journal of Hydrology 520, 224-243, 2015 | 356 | 2015 |
| Modeling rainfall-runoff process using soft computing techniques O Kisi, J Shiri, M Tombul Computers & Geosciences 51, 108-117, 2013 | 356 | 2013 |
| Stream-flow forecasting using extreme learning machines: a case study in a semi-arid region in Iraq ZM Yaseen, O Jaafar, RC Deo, O Kisi, J Adamowski, J Quilty, A El-Shafie Journal of Hydrology 542, 603-614, 2016 | 354 | 2016 |
| Multi-layer perceptrons with Levenberg-Marquardt training algorithm for suspended sediment concentration prediction and estimation/Prévision et estimation de la concentration … Ö Kisi Hydrological Sciences Journal 49 (6), 2004 | 344 | 2004 |
| Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model RC Deo, O Kisi, VP Singh Atmospheric Research 184, 149-175, 2017 | 338 | 2017 |
| 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 | 331 | 2016 |
| Long-term trends and seasonality detection of the observed flow in Yangtze River using Mann-Kendall and Sen’s innovative trend method R Ali, A Kuriqi, S Abubaker, O Kisi Water 11 (9), 1855, 2019 | 308 | 2019 |
| 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 | 303 | 2020 |
| A genetic programming approach to suspended sediment modelling A Aytek, Ö Kişi Journal of hydrology 351 (3-4), 288-298, 2008 | 295 | 2008 |
| Comparison of three-back-propagation training algorithms for two case studies Ö Kişi, E Uncuoglu Indian Journal of Engineering and Materials Sciences 12 (5), 2005 | 290 | 2005 |
Mohammad Zounemat-KermaniProfessor, Department of Civil Engineering, Shahid Bahonar University of Kerman, Kerman, IranVerified email at uk.ac.ir
