| An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines B Choubin, E Moradi, M Golshan, J Adamowski, F Sajedi-Hosseini, ... Science of The Total Environment 651, 2087-2096, 2019 | 339 | 2019 |
| Urban flood risk mapping using the GARP and QUEST models: A comparative study of machine learning techniques H Darabi, B Choubin, O Rahmati, AT Haghighi, B Pradhan, B Kløve Journal of hydrology 569, 142-154, 2019 | 211 | 2019 |
| A novel machine learning-based approach for the risk assessment of nitrate groundwater contamination F Sajedi-Hosseini, A Malekian, B Choubin, O Rahmati, S Cipullo, ... Science of the total environment 644, 954-962, 2018 | 179 | 2018 |
| River suspended sediment modelling using the CART model: A comparative study of machine learning techniques B Choubin, H Darabi, O Rahmati, F Sajedi-Hosseini, B Kløve Science of the Total Environment 615, 272-281, 2018 | 163 | 2018 |
| Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: application of the simulated annealing feature selection method FS Hosseini, B Choubin, A Mosavi, N Nabipour, S Shamshirband, ... Science of the total environment 711, 135161, 2020 | 142 | 2020 |
| Multiple linear regression, multi-layer perceptron network and adaptive neuro-fuzzy inference system for the prediction of precipitation based on large-scale climate signals B Choubin, S Khalighi-Sigaroodi, A Malekian, Ö Kişi Hydrological Sciences Journal 61 (6), 1001-1009, 2016 | 128 | 2016 |
| Integrated machine learning methods with resampling algorithms for flood susceptibility prediction E Dodangeh, B Choubin, AN Eigdir, N Nabipour, M Panahi, ... Science of the Total Environment 705, 135983, 2020 | 102 | 2020 |
| Predicting uncertainty of machine learning models for modelling nitrate pollution of groundwater using quantile regression and UNEEC methods O Rahmati, B Choubin, A Fathabadi, F Coulon, E Soltani, H Shahabi, ... Science of the Total Environment 688, 855-866, 2019 | 100 | 2019 |
| Drought forecasting in a semi-arid watershed using climate signals: a neuro-fuzzy modeling approach B Choubin, S Khalighi-Sigaroodi, A Malekian, S Ahmad, P Attarod Journal of Mountain Science 11 (6), 1593-1605, 2014 | 100 | 2014 |
| Spatial hazard assessment of the PM10 using machine learning models in Barcelona, Spain B Choubin, M Abdolshahnejad, E Moradi, X Querol, A Mosavi, ... Science of The Total Environment, 134474, 2020 | 92 | 2020 |
| Snow avalanche hazard prediction using machine learning methods B Choubin, M Borji, A Mosavi, F Sajedi-Hosseini, VP Singh, ... Journal of Hydrology 577, 123929, 2019 | 88 | 2019 |
| Earth fissure hazard prediction using machine learning models B Choubin, A Mosavi, EH Alamdarloo, FS Hosseini, S Shamshirband, ... Environmental Research, 108770, 2019 | 81 | 2019 |
| Precipitation forecasting using classification and regression trees (CART) model: a comparative study of different approaches B Choubin, G Zehtabian, A Azareh, E Rafiei-Sardooi, F Sajedi-Hosseini, ... Environmental earth sciences 77 (8), 1-13, 2018 | 81 | 2018 |
| Ensemble boosting and bagging based machine learning models for groundwater potential prediction A Mosavi, F Sajedi Hosseini, B Choubin, M Goodarzi, AA Dineva, ... Water Resources Management 35 (1), 23-37, 2021 | 66 | 2021 |
| Combined gamma and M-test-based ANN and ARIMA models for groundwater fluctuation forecasting in semiarid regions B Choubin, A Malekian Environmental Earth Sciences 76 (15), 1-10, 2017 | 65 | 2017 |
| Evaluation of watershed health using Fuzzy-ANP approach considering geo-environmental and topo-hydrological criteria H Alilou, O Rahmati, VP Singh, B Choubin, B Pradhan, S Keesstra, ... Journal of environmental management 232, 22-36, 2019 | 56 | 2019 |
| Spatial prediction of soil erosion susceptibility using a fuzzy analytical network process: Application of the fuzzy decision making trial and evaluation laboratory approach F Sajedi‐Hosseini, B Choubin, K Solaimani, A Cerdà, A Kavian Land degradation & development 29 (9), 3092-3103, 2018 | 55 | 2018 |
| Application of several data-driven techniques to predict a standardized precipitation index B Choubin, A Malekian, M Golshan Atmósfera 29 (2), 121-128, 2016 | 55 | 2016 |
| Incorporating multi-criteria decision-making and fuzzy-value functions for flood susceptibility assessment A Azareh, E Rafiei Sardooi, B Choubin, S Barkhori, A Shahdadi, ... Geocarto International 36 (20), 2345-2365, 2021 | 51 | 2021 |
| Susceptibility mapping of soil water erosion using machine learning models A Mosavi, F Sajedi-Hosseini, B Choubin, F Taromideh, G Rahi, AA Dineva Water 12 (7), 1995, 2020 | 50 | 2020 |
