42 citations as recorded by crossref.

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5. Landslide Susceptibility Mapping Using Weighted Linear Combination: A Case of Gucheng Town in Ningxia, China H. Li et al. https://doi.org/10.1007/s10706-022-02333-0
6. Numerical analysis on influence of principal parameters of topography on hillslope instability in a small catchment K. Acharya et al. https://doi.org/10.1007/s12665-014-3819-z
7. Optimization of an adaptive neuro-fuzzy inference system for groundwater potential mapping S. Termeh et al. https://doi.org/10.1007/s10040-019-02017-9
8. Identifying the influence of natural and human factors on seasonal water quality in China: current situation of China’s water environment and policy impact J. Shi https://doi.org/10.1007/s11356-023-29390-z
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13. A Novel Swarm Intelligence—Harris Hawks Optimization for Spatial Assessment of Landslide Susceptibility D. Bui et al. https://doi.org/10.3390/s19163590
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19. A novel hybrid approach of Bayesian Logistic Regression and its ensembles for landslide susceptibility assessment M. Abedini et al. https://doi.org/10.1080/10106049.2018.1499820
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21. Exploration of the factors that influence total phosphorus in surface water and an evaluation of surface water vulnerability based on an advanced algorithm and traditional index method H. Zhang et al. https://doi.org/10.1016/j.jenvman.2023.118155
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23. GIS-based landslide susceptibility mapping with logistic regression, analytical hierarchy process, and combined fuzzy and support vector machine methods: a case study from Wolong Giant Panda Natural Reserve, China Q. Meng et al. https://doi.org/10.1007/s10064-015-0786-x
24. Landslide susceptibility assessment using triangular fuzzy number-analytic hierarchy processing (TFN-AHP), contributing weight (CW) and random forest weighted frequency ratio (RF weighted FR) at the Pengyang county, Northwest China Z. Mao et al. https://doi.org/10.1007/s12665-022-10193-3
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27. Landslide susceptibility modeling using different artificial intelligence methods: a case study at Muong Lay district, Vietnam T. Phong et al. https://doi.org/10.1080/10106049.2019.1665715
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37. Landslide susceptibility modeling in a complex mountainous region of Sikkim Himalaya using new hybrid data mining approach A. Islam et al. https://doi.org/10.1080/10106049.2021.2009920
38. Delineation of areas with different temporal behavior of soil properties at a landslide affected Alpine hillside using time-lapse electromagnetic data D. Altdorff & P. Dietrich https://doi.org/10.1007/s12665-014-3240-7
39. Random forests and evidential belief function-based landslide susceptibility assessment in Western Mazandaran Province, Iran H. Pourghasemi & N. Kerle https://doi.org/10.1007/s12665-015-4950-1
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