| Monthly runoff forecasting based on LSTM–ALO model X Yuan, C Chen, X Lei, Y Yuan, R Muhammad Adnan Stochastic environmental research and risk assessment 32, 2199-2212, 2018 | 252 | 2018 |
| 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 | 230 | 2020 |
| 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 | 174 | 2019 |
| An extended NSGA-III for solution multi-objective hydro-thermal-wind scheduling considering wind power cost X Yuan, H Tian, Y Yuan, Y Huang, RM Ikram Energy Conversion and Management 96, 568-578, 2015 | 156 | 2015 |
| 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 | 150 | 2021 |
| The viability of extended marine predators algorithm-based artificial neural networks for streamflow prediction RMA Ikram, AA Ewees, KS Parmar, ZM Yaseen, S Shahid, O Kisi Applied Soft Computing 131, 109739, 2022 | 89 | 2022 |
| Modelling reference evapotranspiration by combining neuro‑fuzzy and evolutionary strategies AK Meysam Alizamir, Ozgur Kisi, Rana Muhammad Adnan Acta Geophysica, 1-14, 2020 | 87* | 2020 |
| Short term rainfall-runoff modelling using several machine learning methods and a conceptual event-based model RM Adnan, A Petroselli, S Heddam, CAG Santos, O Kisi Stochastic Environmental Research and Risk Assessment 35 (3), 597-616, 2021 | 83 | 2021 |
| Pan evaporation modeling by three different neuro-fuzzy intelligent systems using climatic inputs RM Adnan, A Malik, A Kumar, KS Parmar, O Kisi Arabian Journal of Geosciences 12, 1-14, 2019 | 77 | 2019 |
| Estimating reference evapotranspiration using hybrid adaptive fuzzy inferencing coupled with heuristic algorithms RM Adnan, RR Mostafa, ARMT Islam, O Kisi, A Kuriqi, S Heddam Computers and Electronics in Agriculture 191, 106541, 2021 | 75 | 2021 |
| Modeling monthly streamflow in mountainous basin by MARS, GMDH-NN and DENFIS using hydroclimatic data RM Adnan, Z Liang, KS Parmar, K Soni, O Kisi Neural Computing and Applications 33, 2853-2871, 2021 | 70 | 2021 |
| Streamflow forecasting using artificial neural network and support vector machine models RM Adnan, X Yuan, O Kisi, Y Yuan American Scientific Research Journal for Engineering, Technology, and …, 2017 | 69 | 2017 |
| Application of improved version of multi verse optimizer algorithm for modeling solar radiation RMA Ikram, HL Dai, AA Ewees, J Shiri, O Kisi, M Zounemat-Kermani Energy Reports 8, 12063-12080, 2022 | 65 | 2022 |
| Comparison of different methodologies for rainfall–runoff modeling: machine learning vs conceptual approach RM Adnan, A Petroselli, S Heddam, CAG Santos, O Kisi Natural Hazards 105, 2987-3011, 2021 | 65 | 2021 |
| Prediction of suspended sediment load using data-driven models RM Adnan, Z Liang, A El-Shafie, M Zounemat-Kermani, O Kisi Water 11 (10), 2060, 2019 | 65 | 2019 |
| Development of new machine learning model for streamflow prediction: Case studies in Pakistan RM Adnan, RR Mostafa, A Elbeltagi, ZM Yaseen, S Shahid, O Kisi Stochastic Environmental Research and Risk Assessment, 1-35, 2022 | 63 | 2022 |
| Snowmelt Runoff Modelling under Projected Climate Change Patterns in the Gilgit River Basin of Northern Pakistan. M Adnan, G Nabi, S Kang, G Zhang, RM Adnan, MN Anjum, M Iqbal, ... Polish Journal of Environmental Studies 26 (2), 2017 | 62 | 2017 |
| The potential of a novel support vector machine trained with modified mayfly optimization algorithm for streamflow prediction RM Adnan, O Kisi, RR Mostafa, AN Ahmed, A El-Shafie Hydrological Sciences Journal 67 (2), 161-174, 2022 | 56 | 2022 |
| Stream flow forecasting of poorly gauged mountainous watershed by least square support vector machine, fuzzy genetic algorithm and M5 model tree using climatic data from nearby … RM Adnan, X Yuan, O Kisi, M Adnan, A Mehmood Water Resources Management 32, 4469-4486, 2018 | 53 | 2018 |
| Improving accuracy of river flow forecasting using LSSVR with gravitational search algorithm RM Adnan, X Yuan, O Kisi, R Anam Advances in Meteorology 2017 (1), 2391621, 2017 | 53 | 2017 |
Ozgur KisiDepartment of Civil Engineering, University of Applied Sciences, Lübeck, Germany在 th-luebeck.de 的电子邮件经过验证
