| Potential of hybrid data-intelligence algorithms for multi-station modelling of rainfall QB Pham, SI Abba, AG Usman, NTT Linh, V Gupta, A Malik, R Costache, ... Water Resources Management 33 (15), 5067-5087, 2019 | 120 | 2019 |
| Estimation of monthly reference evapotranspiration using novel hybrid machine learning approaches Y Tikhamarine, A Malik, A Kumar, SG Doudja, O Kisi Hydrological Sciences Journal, 2019 | 119 | 2019 |
| Spatial-temporal trends analysis of seasonal and annual rainfall (1966-2015) using innovative trend analysis method with significance test A Malik, A Kumar, P Guhathakurta, O Kisi Arabian Journal of Geosciences, DOI.org/10.1007/s12517-019-4454-5, 2019 | 115 | 2019 |
| The impact of climate changes on the water footprint of wheat and maize production in the Nile Delta, Egypt A Elbeltagi, MR Aslam, A Malik, B Mehdinejadiani, A Srivastava, ... Science of the Total Environment 743, 140770, 2020 | 110 | 2020 |
| Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction A Malik, Y Tikhamarine, D Souag-Gamane, O Kisi, QB Pham Stochastic Environmental Research and Risk Assessment 34, 1755-1773, 2020 | 110 | 2020 |
| Modeling monthly pan evaporation process over the Indian central Himalayas: Application of multiple learning artificial intelligence model A Malik, A Kumar, S Kim, MH Kashani, V Karimi, A Sharafati, MA Ghorbani, ... Engineering Applications of Computational Fluid Mechanics, 2020 | 108 | 2020 |
| Seasonality shift and streamflow flow variability trends in central India A Kuriqi, R Ali, QB Pham, J Montenegro Gambini, V Gupta, A Malik, ... Acta Geophysica 68, 1461-1475, 2020 | 98 | 2020 |
| Spatio-temporal trends analysis of rainfall using parametric and non-parametric tests: case study in Uttarakhand, India A Malik, A Kumar Theoretical and Applied Climatology, 2020 | 98 | 2020 |
| Artificial intelligence models versus empirical equations for modeling monthly reference evapotranspiration Y Tikhamarine, A Malik, D Souag-Gamane, O Kisi Environmental Science and Pollution Research, https://doi.org/10.1007/s11356 …, 2020 | 91 | 2020 |
| Application of Heuristic Approaches for Prediction of Hydrological Drought Using Multi-Scalar Streamflow Drought Index A Malik, A Kumar, RP Singh Water Resources Management, 2019 | 87 | 2019 |
| Morphometric analysis and prioritization of sub-watersheds in a hilly watershed using weighted sum approach A Malik, A Kumar, H Kandpal Arabian Journal of Geosciences, 2019 | 87 | 2019 |
| Prediction of meteorological drought by using hybrid support vector regression optimized with HHO versus PSO algorithms A Malik, Y Tikhamarine, SS Sammen, SI Abba, S Shahid Environmental Science and Pollution Research 28, 39139-39158, 2021 | 85 | 2021 |
| Modeling long-term dynamics of crop evapotranspiration using deep learning in a semi-arid environment A Elbeltagi, J Deng, K Wang, A Malik, S Maroufpoor Agricultural Water Management 241, 106334, 2020 | 85 | 2020 |
| Monthly pan-evaporation estimation in Indian central Himalayas using different heuristic approaches and climate based models A Malik, A Kumar, O Kisi Computers and Electronics in Agriculture 143, 302-313, 2017 | 82 | 2017 |
| Pan evaporation simulation based on daily meteorological data using soft computing techniques and multiple linear regression A Malik, A Kumar Water resources management 29 (6), 1859-1872, 2015 | 81 | 2015 |
| Artificial neural network optimized with a genetic algorithm for seasonal groundwater table depth prediction in Uttar Pradesh, India K Pandey, S Kumar, A Malik, A Kuriqi Sustainability 12 (21), 8932, 2020 | 80 | 2020 |
| Pan evaporation modeling by three different neuro-fuzzy intelligent systems using climatic inputs RM Adnam, A Malik, A Kumar, K Parmar, O Kisi Arabian Journal of Geosciences, 2019 | 77 | 2019 |
| Daily suspended sediment concentration simulation using hydrological data of Pranhita River Basin, India A Malik, A Kumar, J Piri Computers and Electronics in Agriculture 138, 20-28, 2017 | 74 | 2017 |
| Enhanced artificial neural network with Harris hawks optimization for predicting scour depth downstream of ski-jump spillway SS Sammen, MA Ghorbani, A Malik, Y Tikhamarine, M AmirRahmani, ... Applied Sciences 10 (15), 5160, 2020 | 70 | 2020 |
| Simulation of seepage flow through embankment dam by using a novel extended Kalman filter based neural network paradigm: Case study of Fontaine Gazelles Dam, Algeria I Rehamnia, B Benlaoukli, M Jamei, M Karbasi, A Malik Measurement 176, 109219, 2021 | 69 | 2021 |
Ozgur KisiDepartment of Civil Engineering, University of Applied Sciences, Lübeck, Germany在 th-luebeck.de 的电子邮件经过验证
