Comparison of artificial intelligence techniques via empirical equations for prediction of solar radiation H Citakoglu Computers and Electronics in Agriculture 118, 28-37, 2015 | 118 | 2015 |
Trend, independence, stationarity, and homogeneity tests on maximum rainfall series of standard durations recorded in Turkey T Haktanir, H Citakoglu Journal of Hydrologic Engineering 19 (9), 05014009, 2014 | 115 | 2014 |
Estimation of monthly mean reference evapotranspiration in Turkey H Citakoglu, M Cobaner, T Haktanir, O Kisi Water Resources Management 28, 99-113, 2014 | 115 | 2014 |
A new insight to the wind speed forecasting: robust multi-stage ensemble soft computing approach based on pre-processing uncertainty assessment EE Başakın, Ö Ekmekcioğlu, H Çıtakoğlu, M Özger Neural Computing and Applications 34 (1), 783-812, 2022 | 66 | 2022 |
Modifying Hargreaves–Samani equation with meteorological variables for estimation of reference evapotranspiration in Turkey M Cobaner, H Citakoğlu, T Haktanir, O Kisi Hydrology Research 48 (2), 480-497, 2017 | 65 | 2017 |
Estimation of mean monthly air temperatures in Turkey M Cobaner, H Citakoglu, O Kisi, T Haktanir Computers and electronics in agriculture 109, 71-79, 2014 | 63 | 2014 |
Comparison of artificial intelligence techniques for prediction of soil temperatures in Turkey H Citakoglu Theoretical and Applied Climatology 130, 545-556, 2017 | 60 | 2017 |
Forecasting of solar radiation using different machine learning approaches V Demir, H Citakoglu Neural Computing and Applications 35 (1), 887-906, 2023 | 55 | 2023 |
Comparison of neural network, Gaussian regression, support vector machine, long short-term memory, multi-gene genetic programming, and M5 Trees methods for solving civil … E Uncuoglu, H Citakoglu, L Latifoglu, S Bayram, M Laman, M Ilkentapar, ... Applied Soft Computing 129, 109623, 2022 | 51 | 2022 |
Comparison of hybrid machine learning methods for the prediction of short-term meteorological droughts of Sakarya Meteorological Station in Turkey H Citakoglu, Ö Coşkun Environmental Science and Pollution Research 29 (50), 75487-75511, 2022 | 50 | 2022 |
Comparison of multiple learning artificial intelligence models for estimation of long-term monthly temperatures in Turkey H Citakoglu Arabian Journal of Geosciences 14 (20), 2131, 2021 | 45 | 2021 |
Modeling monthly reference evapotranspiration process in Turkey: application of machine learning methods S Bayram, H Çıtakoğlu Environmental Monitoring and Assessment 195 (1), 67, 2023 | 34 | 2023 |
Solar radiation prediction using multi-gene genetic programming approach H Citakoglu, B Babayigit, NA Haktanir Theoretical and Applied Climatology 142, 885-897, 2020 | 33 | 2020 |
Trend analysis and change point determination for hydro-meteorological and groundwater data of Kizilirmak basin H Citakoglu, N Minarecioglu Theoretical and Applied Climatology 145 (3), 1275-1292, 2021 | 27 | 2021 |
General and regional cross-station assessment of machine learning models for estimating reference evapotranspiration Y Zouzou, H Citakoglu Acta Geophysica 71 (2), 927-947, 2023 | 25 | 2023 |
Prediction of the standardized precipitation index based on the long short-term memory and empirical mode decomposition-extreme learning machine models: The Case of Sakarya … Ö Coşkun, H Citakoglu Physics and Chemistry of the Earth, Parts A/B/C 131, 103418, 2023 | 23 | 2023 |
Regional frequency analyses of successive-duration annual maximum rainfalls by L-moments method T Haktanir, H Citakoglu, N Seckin Hydrological Sciences Journal 61 (4), 647-668, 2016 | 22 | 2016 |
Fifteen-stage operation of gated spillways for flood routing management through artificial reservoirs T Haktanir, H Citakoglu, N Acanal Hydrological sciences journal 58 (5), 1013-1031, 2013 | 20 | 2013 |
Closure to “Trend, independence, stationarity, and homogeneity tests on maximum rainfall series of standard durations recorded in Turkey” by Tefaruk Haktanir and Hatice Citakoglu T Haktanir, H Citakoglu Journal of Hydrologic Engineering 20 (10), 07015017, 2015 | 19 | 2015 |
Developing numerical equality to regional intensity–duration–frequency curves using evolutionary algorithms and multi-gene genetic programming H Citakoglu, V Demir Acta Geophysica 71 (1), 469-488, 2023 | 18 | 2023 |