| Flood susceptibility mapping using novel ensembles of adaptive neuro fuzzy inference system and metaheuristic algorithms SVR Termeh, A Kornejady, HR Pourghasemi, S Keesstra Science of the Total Environment 615, 438-451, 2018 | 428 | 2018 |
| Optimization of an adaptive neuro-fuzzy inference system for groundwater potential mapping TSV Razavi, K Khabat, S Majid, SD Keesstra, FTC Tsai, D Roel, BT Pham Hydrogeology Journal 27 (7), 2511-2534, 2019 | 98 | 2019 |
| Genetic and firefly metaheuristic algorithms for an optimized neuro-fuzzy prediction modeling of wildfire probability A Jaafari, SVR Termeh, DT Bui Journal of environmental management 243, 358-369, 2019 | 88 | 2019 |
| Groundwater potential mapping using an integrated ensemble of three bivariate statistical models with random forest and logistic model tree models SV Razavi-Termeh, A Sadeghi-Niaraki, SM Choi Water 11 (8), 1596, 2019 | 76 | 2019 |
| An assessment of metaheuristic approaches for flood assessment HR Pourghasemi, SV Razavi-Termeh, N Kariminejad, H Hong, W Chen Journal of Hydrology 582, 124536, 2020 | 70 | 2020 |
| Ubiquitous GIS-based forest fire susceptibility mapping using artificial intelligence methods SV Razavi-Termeh, A Sadeghi-Niaraki, SM Choi Remote Sensing 12 (10), 1689, 2020 | 62 | 2020 |
| Spatio-temporal modeling of PM2. 5 risk mapping using three machine learning algorithms SZ Shogrkhodaei, SV Razavi-Termeh, A Fathnia Environmental Pollution 289, 117859, 2021 | 59 | 2021 |
| Land subsidence susceptibility mapping using persistent scatterer SAR interferometry technique and optimized hybrid machine learning algorithms B Ranjgar, SV Razavi-Termeh, F Foroughnia, A Sadeghi-Niaraki, ... Remote Sensing 13 (7), 1326, 2021 | 49 | 2021 |
| Gully erosion susceptibility mapping using artificial intelligence and statistical models SV Razavi-Termeh, A Sadeghi-Niaraki, SM Choi Geomatics, Natural Hazards and Risk 11 (1), 821-844, 2020 | 48 | 2020 |
| Flood susceptibility mapping using multi-temporal SAR imagery and novel integration of nature-inspired algorithms into support vector regression S Mehravar, SV Razavi-Termeh, A Moghimi, B Ranjgar, F Foroughnia, ... Journal of Hydrology 617, 129100, 2023 | 43 | 2023 |
| Asthma-prone areas modeling using a machine learning model SV Razavi-Termeh, A Sadeghi-Niaraki, SM Choi Scientific Reports 11 (1), 1912, 2021 | 40 | 2021 |
| Mapping of landslide susceptibility using the combination of neuro-fuzzy inference system (ANFIS), ant colony (ANFIS-ACOR), and differential evolution (ANFIS-DE) models SV Razavi-Termeh, K Shirani, M Pasandi Bulletin of Engineering Geology and the Environment 80, 2045-2067, 2021 | 37 | 2021 |
| Improving groundwater potential mapping using metaheuristic approaches SV Razavi-Termeh, K Khosravi, A Sadeghi-Niaraki, SM Choi, VP Singh Hydrological Sciences Journal 65 (16), 2729-2749, 2020 | 37 | 2020 |
| Effects of air pollution in spatio-temporal modeling of asthma-prone areas using a machine learning model SV Razavi-Termeh, A Sadeghi-Niaraki, SM Choi Environmental Research 200, 111344, 2021 | 29 | 2021 |
| Spatial modelling of accidents risk caused by driver drowsiness with data mining algorithms F Farhangi, A Sadeghi-Niaraki, A Nahvi, SV Razavi-Termeh Geocarto International 37 (9), 2698-2716, 2022 | 26 | 2022 |
| Landslide susceptibility assessment in the Anfu County, China: comparing different statistical and probabilistic models considering the new topo-hydrological factor (HAND) H Hong, A Kornejady, A Soltani, SVR Termeh, J Liu, AX Zhu, AY Hesar, ... Earth Science Informatics 11, 605-622, 2018 | 26 | 2018 |
| Spatial modeling of asthma-prone areas using remote sensing and ensemble machine learning algorithms SV Razavi-Termeh, A Sadeghi-Niaraki, SM Choi Remote Sensing 13 (16), 3222, 2021 | 24 | 2021 |
| Application of genetic algorithm in optimization parallel ensemble-based machine learning algorithms to flood susceptibility mapping using radar satellite imagery SV Razavi-Termeh, A Sadeghi-Niaraki, MB Seo, SM Choi Science of The Total Environment 873, 162285, 2023 | 22 | 2023 |
| Covid-19 risk mapping with considering socio-economic criteria using machine learning algorithms SV Razavi-Termeh, A Sadeghi-Niaraki, F Farhangi, SM Choi International journal of environmental research and public health 18 (18), 9657, 2021 | 21 | 2021 |
| A spatially based machine learning algorithm for potential mapping of the hearing senses in an urban environment M Farahani, SV Razavi-Termeh, A Sadeghi-Niaraki Sustainable Cities and Society 80, 103675, 2022 | 20 | 2022 |
