TABLE 3.
Top 10 papers with the highest citations.
| Title | Reference | Citation | Source title |
|---|---|---|---|
| Flood prediction using machine learning models: Literature review | Mosavi et al. (2018) | 825 | Water |
| A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran | Khosravi et al. (2018) | 492 | Science of the Total Environment |
| Flood susceptibility analysis and its verification using a novel ensemble support vector machine and frequency ratio method | Tehrany, Pradhan and Jebur (2015) | 302 | Stochastic Environmental Research and Risk Assessment |
| Survey of computational intelligence as basis to extensive flood management: Challenges, research directions, and future work | Fotovatikhah et al. (2018) | 292 | Engineering Applications of Computational Fluid Mechanics |
| Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China | Zhou et al. (2018) | 265 | Computers & Geosciences |
| GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks | Tien Bui et al. (2016) | 248 | Environmental Earth Sciences |
| A review on early forest fire detection systems using optical remote sensing | Barmpoutis et al. (2020) | 235 | Sensors |
| A multi-criteria optimisation model for humanitarian aid distribution | Vitoriano et al. (2011) | 227 | Journal of Global Optimization |
| Tackling climate change with machine learning | Rolnick et al. (2023) | 204 | ACM Computing Surveys |
| Hybrid artificial intelligence models based on a neuro-fuzzy system and metaheuristic optimization algorithms for spatial prediction of wildfire probability | Jaafari et al. (2019) | 201 | Agricultural and Forest Meteorology |
Source: Scopus n.d., Scopus preview - Scopus - Welcome to Scopus, viewed 14 May 2024, from https://www.scopus.com/home.uri