| Modeling rainfall-runoff process using soft computing techniques O Kisi, J Shiri, M Tombul Computers & Geosciences 51, 108-117, 2013 | 294 | 2013 |
| Forecasting daily lake levels using artificial intelligence approaches O Kisi, J Shiri, B Nikoofar Computers & Geosciences 41, 169-180, 2012 | 216 | 2012 |
| Suspended sediment modeling using genetic programming and soft computing techniques O Kisi, AH Dailr, M Cimen, J Shiri Journal of Hydrology 450, 48-58, 2012 | 208 | 2012 |
| Short-term and long-term streamflow forecasting using a wavelet and neuro-fuzzy conjunction model J Shiri, O Kisi Journal of Hydrology 394 (3-4), 486-493, 2010 | 208 | 2010 |
| Predicting groundwater level fluctuations with meteorological effect implications—A comparative study among soft computing techniques J Shiri, O Kisi, H Yoon, KK Lee, AH Nazemi Computers & Geosciences 56, 32-44, 2013 | 195 | 2013 |
| Daily reference evapotranspiration modeling by using genetic programming approach in the Basque Country (Northern Spain) J Shiri, Ö Kişi, G Landeras, JJ López, AH Nazemi, LCPM Stuyt Journal of Hydrology 414, 302-316, 2012 | 191 | 2012 |
| Precipitation forecasting using wavelet-genetic programming and wavelet-neuro-fuzzy conjunction models O Kisi, J Shiri Water resources management 25, 3135-3152, 2011 | 186 | 2011 |
| Comparison of genetic programming with neuro-fuzzy systems for predicting short-term water table depth fluctuations J Shiri, Ö Kişi Computers & Geosciences 37 (10), 1692-1701, 2011 | 186 | 2011 |
| Comparison of heuristic and empirical approaches for estimating reference evapotranspiration from limited inputs in Iran J Shiri, AH Nazemi, AA Sadraddini, G Landeras, O Kisi, AF Fard, P Marti Computers and Electronics in Agriculture 108, 230-241, 2014 | 185 | 2014 |
| Sea water level forecasting using genetic programming and comparing the performance with artificial neural networks MA Ghorbani, R Khatibi, A Aytek, O Makarynskyy, J Shiri Computers & geosciences 36 (5), 620-627, 2010 | 182 | 2010 |
| River suspended sediment estimation by climatic variables implication: Comparative study among soft computing techniques O Kisi, J Shiri Computers & Geosciences 43, 73-82, 2012 | 156 | 2012 |
| Neuro-fuzzy and neural network techniques for forecasting sea level in Darwin Harbor, Australia S Karimi, O Kisi, J Shiri, O Makarynskyy Computers & Geosciences 52, 50-59, 2013 | 146 | 2013 |
| Modeling reference evapotranspiration with calculated targets. Assessment and implications P Martí, P González-Altozano, R López-Urrea, LA Mancha, J Shiri Agricultural Water Management 149, 81-90, 2015 | 136 | 2015 |
| Comparison of Gene Expression Programming with neuro-fuzzy and neural network computing techniques in estimating daily incoming solar radiation in the Basque Country (Northern … G Landeras, JJ López, O Kisi, J Shiri Energy conversion and management 62, 1-13, 2012 | 130 | 2012 |
| A survey of water level fluctuation predicting in Urmia Lake using support vector machine with firefly algorithm O Kisi, J Shiri, S Karimi, S Shamshirband, S Motamedi, D Petković, ... Applied Mathematics and Computation 270, 731-743, 2015 | 126 | 2015 |
| Soil moisture simulation using hybrid artificial intelligent model: Hybridization of adaptive neuro fuzzy inference system with grey wolf optimizer algorithm S Maroufpoor, E Maroufpoor, O Bozorg-Haddad, J Shiri, ZM Yaseen Journal of Hydrology 575, 544-556, 2019 | 122 | 2019 |
| Generalizability of gene expression programming-based approaches for estimating daily reference evapotranspiration in coastal stations of Iran J Shiri, AA Sadraddini, AH Nazemi, O Kisi, G Landeras, AF Fard, P Marti Journal of hydrology 508, 1-11, 2014 | 118 | 2014 |
| Application of artificial intelligence to estimate daily pan evaporation using available and estimated climatic data in the Khozestan Province (South Western Iran) J Shiri, Ö Kişi Journal of irrigation and drainage engineering 137 (7), 412-425, 2011 | 108 | 2011 |
| Improving the performance of the mass transfer-based reference evapotranspiration estimation approaches through a coupled wavelet-random forest methodology J Shiri Journal of Hydrology 561, 737-750, 2018 | 107 | 2018 |
| Estimating daily pan evaporation from climatic data of the State of Illinois, USA using adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN) J Shiri, W Dierickx, A Pour-Ali Baba, S Neamati, MA Ghorbani Hydrology Research 42 (6), 491-502, 2011 | 100 | 2011 |
Ozgur KisiDepartment of Civil Engineering, University of Applied Sciences, Lübeck, GermanyVerified email at th-luebeck.de
