11 citations as recorded by crossref.

1. Multi‐criteria decision analysis integrated with GIS to determine land suitability for cultivation and best harvest time of vine H. Amin et al. 10.1002/jsfa.12380
2. Investigation of water quality and its spatial distribution in the Kor River basin, Fars province, Iran M. Mokarram et al. 10.1016/j.envres.2021.112294
3. Evaluating of Quantitative Geomorphometric Parameters Efficiency in Increasing the Accuracy of Landslide Sensitivity Maps (Case Study: Fereydoun Shahr Basin, Isfahan Province) a. arabameri et al. 10.29252/jwmr.9.18.220
4. Multi-scale site evaluation of a relict active layer detachment in a High Arctic landscape M. Paquette et al. 10.1016/j.geomorph.2020.107159
5. Determining prone areas to gully erosion and the impact of land use change on it by using multiple-criteria decision-making algorithm in arid and semi-arid regions M. Mokarram & A. Zarei 10.1016/j.geoderma.2021.115379
6. Robustness of Optimized Decision Tree-Based Machine Learning Models to Map Gully Erosion Vulnerability H. Eloudi et al. 10.3390/soilsystems7020050
7. Machine learning-based predictions of current and future susceptibility to retrogressive thaw slumps across the Northern Hemisphere J. Luo et al. 10.1016/j.accre.2024.03.001
8. GIS-based Gully Erosion Susceptibility Evaluation Using Frequency Ratio, Cosine Amplitude and Logistic Regression Ensembled with fuzzy logic in Hinglo River Basin, India J. Roy & D. Saha 10.1016/j.rsase.2019.100247
9. Machine learning-based thermokarst landslide susceptibility modeling across the permafrost region on the Qinghai-Tibet Plateau G. Yin et al. 10.1007/s10346-021-01669-7
10. Spatial modelling of gully erosion using evidential belief function, logistic regression, and a new ensemble of evidential belief function–logistic regression algorithm A. Arabameri et al. 10.1002/ldr.3151
11. Machine Learning-Based Gully Erosion Susceptibility Mapping: A Case Study of Eastern India S. Saha et al. 10.3390/s20051313