River flow estimation and forecasting by using two different adaptive neuro-fuzzy approaches H Sanikhani, O Kisi Water resources management 26, 1715-1729, 2012 | 158 | 2012 |
Temperature-based modeling of reference evapotranspiration using several artificial intelligence models: application of different modeling scenarios H Sanikhani, O Kisi, E Maroufpoor, ZM Yaseen Theoretical and applied climatology 135, 449-462, 2019 | 150 | 2019 |
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 | 126 | 2015 |
Non-tuned data intelligent model for soil temperature estimation: a new approach OK Hadi Sanikhani, Ravinesh C Deo, Zaher Mundher Yaseen, Okan Eray Geoderma 330, 52-64, 2018 | 114* | 2018 |
Novel hybrid data-intelligence model for forecasting monthly rainfall with uncertainty analysis ZM Yaseen, I Ebtehaj, S Kim, H Sanikhani, H Asadi, MI Ghareb, ... Water 11 (3), 502, 2019 | 101 | 2019 |
Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors H Sanikhani, RC Deo, P Samui, O Kisi, C Mert, R Mirabbasi, S Gavili, ... Computers and Electronics in Agriculture 152, 242-260, 2018 | 80 | 2018 |
Trend analysis of rainfall pattern over the Central India during 1901–2010 SGM Hadi Sanikhani, Ozgur Kisi, Rasoul Mirabbasi Arabian Journal of Geosciences 11 (16), 1-14, 2018 | 76 | 2018 |
Soil temperature modeling at different depths using neuro-fuzzy, neural network, and genetic programming techniques O Kisi, H Sanikhani, M Cobaner Theoretical and Applied Climatology 129, 833-848, 2017 | 74 | 2017 |
Water quality variations in different climates of Iran: toward modeling total dissolved solid using soft computing techniques M Montaseri, SZZ Ghavidel, H Sanikhani Stochastic Environmental Research and Risk Assessment, 1-21, 2018 | 68 | 2018 |
Estimation of daily pan evaporation using two different adaptive neuro-fuzzy computing techniques H Sanikhani, O Kisi, MR Nikpour, Y Dinpashoh Water resources management 26, 4347-4365, 2012 | 68 | 2012 |
Evaluation of several soft computing methods in monthly evapotranspiration modelling S Gavili, H Sanikhani, O Kisi, MH Mahmoudi Meteorological Applications 25 (1), 128-138, 2018 | 67 | 2018 |
Prediction of long-term monthly precipitation using several soft computing methods without climatic data. O Kisi, H Sanikhani International Journal of Climatology 35 (14), 2015 | 67 | 2015 |
Monthly Long-Term Rainfall Estimation in Central India using M5Tree, MARS, LSSVR, ANN and GEP Models SGM Rasoul Mirabbasi, Ozgur Kisi, Hadi Sanikhani Neural Computing and Applications, 1-20, 2018 | 63* | 2018 |
Modeling wetted areas of moisture bulb for drip irrigation systems: An enhanced empirical model and artificial neural network B Karimi, P Mohammadi, H Sanikhani, SQ Salih, ZM Yaseen Computers and Electronics in Agriculture 178, 105767, 2020 | 50 | 2020 |
Modelling long-term monthly temperatures by several data-driven methods using geographical inputs. O Kisi, H Sanikhani International Journal of Climatology 35 (13), 2015 | 50 | 2015 |
Integrative stochastic model standardization with genetic algorithm for rainfall pattern forecasting in tropical and semi-arid environments SQ Salih, A Sharafati, I Ebtehaj, H Sanikhani, R Siddique, RC Deo, ... Hydrological Sciences Journal 65 (7), 1145-1157, 2020 | 49 | 2020 |
The analysis of trend variations of reference evapotranspiration via eliminating the significance effect of all autocorrelation coefficients B Amirataee, M Montaseri, H Sanikhani Theoretical and Applied Climatology 126, 131-139, 2016 | 42 | 2016 |
Prediction of river flow using hybrid neuro-fuzzy models A Azad, S Farzin, H Kashi, H Sanikhani, H Karami, O Kisi Arabian Journal of Geosciences 11, 1-14, 2018 | 40 | 2018 |
Novel approaches for air temperature prediction: a comparison of four hybrid evolutionary fuzzy models A Azad, H Kashi, S Farzin, VP Singh, O Kisi, H Karami, H Sanikhani Meteorological Applications 27 (1), e1817, 2020 | 37 | 2020 |
Estimation of Wind drift and evaporation losses from sprinkler irrigation systems by different data‐driven methods E Maroufpoor, H Sanikhani, S Emamgholizadeh, Ö Kişi Irrigation and drainage 67 (2), 222-232, 2018 | 36 | 2018 |