| The prediction of longitudinal dispersion coefficient in natural streams using LS-SVM and ANFIS optimized by Harris hawk optimization algorithm NA Azar, SG Milan, Z Kayhomayoon Journal of Contaminant Hydrology 240, 103781, 2021 | 40 | 2021 |
| Novel approach for predicting groundwater storage loss using machine learning Z Kayhomayoon, NA Azar, SG Milan, HK Moghaddam, R Berndtsson Journal of Environmental Management 296, 113237, 2021 | 31 | 2021 |
| The prediction of aquifer groundwater level based on spatial clustering approach using machine learning HK Moghaddam, SG Milan, Z Kayhomayoon, NA Azar Environ Monit Assess 193 (4), 1-20, 2021 | 31 | 2021 |
| A combination of metaheuristic optimization algorithms and machine learning methods improves the prediction of groundwater level Z Kayhomayoon, F Babaeian, S Ghordoyee Milan, N Arya Azar, ... Water 14 (5), 751, 2022 | 23 | 2022 |
| The prediction of aquifer groundwater level based on spatial clustering approach using machine learning H Kardan Moghaddam, S Ghordoyee Milan, Z Kayhomayoon, ... Environmental Monitoring and Assessment 193 (4), 173, 2021 | 22 | 2021 |
| Source of salinity in the groundwater of Lenjanat Plain, Isfahan, Iran HR Nassery, Z Kayhomayoon Environmental earth sciences 68, 413-427, 2013 | 21 | 2013 |
| A new approach for regional groundwater level simulation: clustering, simulation, and optimization Z Kayhomayoon, S Ghordoyee Milan, N Arya Azar, ... Natural Resources Research 30, 4165-4185, 2021 | 20 | 2021 |
| Predicting monthly evaporation from dam reservoirs using LS-SVR and ANFIS optimized by Harris hawks optimization algorithm N Arya Azar, S Ghordoyee Milan, Z Kayhomayoon Environmental Monitoring and Assessment 193, 1-14, 2021 | 17 | 2021 |
| How does a combination of numerical modeling, clustering, artificial intelligence, and evolutionary algorithms perform to predict regional groundwater levels? Z Kayhomayoon, S Ghordoyee-Milan, A Jaafari, N Arya-Azar, AM Melesse, ... Computers and Electronics in Agriculture 203, 107482, 2022 | 13 | 2022 |
| Ghordoyee Milan, S., Arya Azar, N., & Kardan Moghaddam, H.(2021). A new approach for regional groundwater level simulation: clustering, simulation, and optimization Z Kayhomayoon Natural Resources Research 30 (6), 4165-4185, 0 | 9 | |
| Prediction of evaporation from dam reservoirs under climate change using soft computing techniques Z Kayhomayoon, F Naghizadeh, M Malekpoor, N Arya Azar, J Ball, ... Environmental Science and Pollution Research 30 (10), 27912-27935, 2023 | 8 | 2023 |
| A simulation-optimization modeling approach for conjunctive water use management in a semi-arid region of Iran Z Kayhomayoon, SG Milan, N Arya Azar, P Bettinger, F Babaian, A Jaafari Sustainability 14 (5), 2691, 2022 | 8 | 2022 |
| Using machine learning to determine acceptable levels of groundwater consumption in Iran SG Milan, Z Kayhomayoon, NA Azar, R Berndtsson, MR Ramezani, ... Sustainable Production and Consumption 35, 388-400, 2023 | 7 | 2023 |
| A hybrid approach based on simulation, optimization, and estimation of conjunctive use of surface water and groundwater resources N Arya Azar, Z Kayhomayoon, S Ghordoyee Milan, HR Zarif Sanayei, ... Environmental Science and Pollution Research 29 (37), 56828-56844, 2022 | 7 | 2022 |
| Ghordoyee Milan S, Arya Azar N, Berndtsson R (2022) A Combination of Metaheuristic Optimization Algorithms and Machine Learning Methods Improves the Prediction of Groundwater Level Z Kayhomayoon, F Babaeian Water 14 (5), 751, 0 | 5 | |
| Soft computing assessment of current and future groundwater resources under CMIP6 scenarios in northwestern Iran Z Kayhomayoon, MR Jamnani, S Rashidi, SG Milan, NA Azar, ... Agricultural Water Management 285, 108369, 2023 | 4 | 2023 |
| Ghordoyee Milan, S.; Arya Azar, N.; Berndtsson, R. A Combination of Metaheuristic Optimization Algorithms and Machine Learning Methods Improves the Prediction of Groundwater … Z Kayhomayoon, F Babaeian s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | 4 | 2022 |
| Large discrepancy between future demand and supply of agricultural water in northwestern Iran; evidence from WEAP-MODFLOW-machine learning under the CMIP6 scenario MR Jamnani, Z Kayhomayoon, NA Azar, SG Milan, SN Marghmaleki, ... Computers and Electronics in Agriculture 216, 108505, 2024 | 2 | 2024 |
| Investigating the effectiveness of the implementation of the reclamation and balancing plan and the vulnerability of the plan projects (case study: Ardestan Plain-Isfahan … Z Kayhomayoon, M Hajizadeh, F Alijani | 2 | 2022 |
| Effect of natural and anthropogenic factors on water resources quality in lenjanat plain, esfahan, iran HR Nassery, HZ KEY, M Nakhaei GEOSCIENCES 22 (85), 173-186, 2012 | 2 | 2012 |
