| Prediction the Groundwater Level of Bastam Plain (Iran) by Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) S Emamgholizadeh, K Moslemi, G Karami Water Resources Management 28 (Issue 15 (2014)), Page 5433-54, 2014 | 224 | 2014 |
| Prediction of water quality parameters of Karoon River (Iran) by artificial intelligence-based models S Emamgholizadeh, H Kashi, I Marofpoor, E Zalaghi International Journal of Environmental Science and Technology 11, 645-656, 2014 | 206 | 2014 |
| Estimation of soil cation exchange capacity using Genetic Expression Programming (GEP) and Multivariate Adaptive Regression Splines (MARS) S Emamgolizadeh, SM Bateni, D Shahsavani, T Ashrafi Journal of Hydrology 529 (Part 3), 1590–1600, 2015 | 164 | 2015 |
| Seed yield prediction of sesame using artificial neural network S Emamgholizadeh, M Parsaeian, M Baradaran European Journal of Agronomy 68, 89-96, 2015 | 126 | 2015 |
| Prediction of discharge coefficient of triangular labyrinth weirs using Adaptive Neuro Fuzzy Inference System AH Haghiabi, A Parsaie, S Ememgholizadeh Alexandria Engineering Journal, 2017 | 104 | 2017 |
| Prediction of water quality parameters using evolutionary computing-based formulations M Najafzadeh, A Ghaemi, S Emamgholizadeh International Journal of Environmental Science and Technology 16, 6377-6396, 2019 | 92 | 2019 |
| Estimation of soil infiltration and cation exchange capacity based on multiple regression, ANN (RBF, MLP), and ANFIS models H Kashi, S Emamgholizadeh, H Ghorbani Communications in soil science and plant analysis 45 (9), 1195-1213, 2014 | 77 | 2014 |
| Simulation of Titicaca lake water level fluctuations using hybrid machine learning technique integrated with grey wolf optimizer algorithm B Mohammadi, Y Guan, P Aghelpour, S Emamgholizadeh, R Pillco Zolá, ... Water 12 (11), 3015, 2020 | 68 | 2020 |
| Estimation of soil cation exchange capacity using multiple regression, artificial neural networks, and adaptive neuro-fuzzy inference system models in Golestan Province, Iran H Ghorbani, H Kashi, N Hafezi Moghadas, S Emamgholizadeh Communications in Soil Science and Plant Analysis 46 (6), 763-780, 2015 | 63 | 2015 |
| Investigation and evaluation of the pressure flushing through storage reservoir S Emamgholizadeh, M Bina, M Fathi-Moghadam, M Ghomeyshi ARPN Journal of Engineering and Applied Sciences 1 (4), 7-16, 2006 | 60 | 2006 |
| A comparison of artificial intelligence models for the estimation of daily suspended sediment load: a case study on the Telar and Kasilian rivers in Iran S Emamgholizadeh, RK Demneh Water Supply 19 (1), 165-178, 2019 | 51 | 2019 |
| Physical modelling of pressure flushing for desilting of non-cohesive sediment M Fathi-Moghadam, S Emamgholizadeh, M Bina, M Ghomeshi Journal of Hydraulic Research 48 (4), 509-514, 2010 | 51 | 2010 |
| Physical and numerical modeling of submerged vegetation roughness in rivers and flood plains M Fathi-Moghadam, M Kashefipour, N Ebrahimi, S Emamgholizadeh Journal of Hydrologic Engineering 16 (11), 858-864, 2011 | 50 | 2011 |
| New hybrid nature-based algorithm to integration support vector machine for prediction of soil cation exchange capacity S Emamgholizadeh, B Mohammadi Soft computing 25 (21), 13451-13464, 2021 | 44 | 2021 |
| Estimation of soil dispersivity using soft computing approaches S Emamgholizadeh, K Bahman, S Bateni, H Ghorbani, I Marofpoor, ... Neural Computing and Applications 28 (10.1007/s00521-016-2320-x), 207-216, 2017 | 44 | 2017 |
| Pressure flushing of cohesive sediment in large dam reservoirs S Emamgholizadeh, M Fathi-Moghdam Journal of Hydrologic Engineering 19 (4), 674-681, 2014 | 43 | 2014 |
| Estimating the amount of cadmium and lead in the polluted soil using artificial intelligence models A Bazoobandi, S Emamgholizadeh, H Ghorbani European Journal of Environmental and Civil Engineering 26 (3), 933-951, 2022 | 42 | 2022 |
| Is stress management related to workforce productivity? MH ZAREI, HR Razavi, S Emamgholizadeh IRANIAN JOURNAL OF MANAGEMENT STUDIES 7 (1), 1-19, 2014 | 40 | 2014 |
| 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 | 37 | 2018 |
| Prediction of discharge coefficient of combined weir-gate using ANN, ANFIS and SVM A Parsaie, AH Haghiabi, S Emamgholizadeh, HM Azamathulla International Journal of Hydrology Science and Technology 9 (4), 412-430, 2019 | 36 | 2019 |
Hadi GhorbaniAssociate Professor of Soil and Environmental Pollution, Shahrood University of TechnologyVerified email at shahroodut.ac.ir
