14 citations as recorded by crossref.

1. PSLSA v2.0: An automatic Python package integrating machine learning models for regional landslide susceptibility assessment Z. Guo et al.
2. Hazard assessment modeling and software development of earthquake-triggered landslides in the Sichuan–Yunnan area, China X. Shao et al.
3. Project ‘‘Mass Movements in Germany’’ and its implications for nationwide landslide susceptibility assessment J. Torizin et al.
4. From Mass Movements to Mitigation Measures: A Statistical Evaluation of Landslides in the Austrian Federal Railway Network H. Laimer
5. Analytical ‘decisiveness’ as a robust measure of the absolute importance of landslide predisposing factors L. Li & H. Lan
6. A python system for regional landslide susceptibility assessment by integrating machine learning models and its application Z. Guo et al.
7. Estimation of Shallow Landslide Susceptibility Incorporating the Impacts of Vegetation on Slope Stability H. Jiang et al.
8. An Efficient User-Friendly Integration Tool for Landslide Susceptibility Mapping Based on Support Vector Machines: SVM-LSM Toolbox W. Huang et al.
9. An hourly shallow landslide warning model developed by combining automatic landslide spatial susceptibility and temporal rainfall threshold predictions Y. Cao et al.
10. Modeling and Assessment of Landslide Susceptibility of Dianchi Lake Watershed in Yunnan Plateau G. Bai et al.
11. An updated version of the SZ-plugin: From space to space–time data-driven modeling in QGIS G. Titti et al.
12. Advanced deep learning–based approaches for semantic segmentation in precise landslide detection and susceptibility assessment F. Rezaie et al.
13. Landslide Susceptibility Mapping Using the Weight of Evidence Model: A Case Study on A Tropical Volcanic Region D. Nugraha et al.
14. Co-seismic landslide hazard assessment and rapid mapping for post-seismic emergency disaster mitigation management at the national-scale Z. Gao et al.