15 citations as recorded by crossref.

1. Remote Sensing Precursors Analysis for Giant Landslides H. Lan et al.
2. Impact of precipitation on Beishan landslide deformation from 1986 to 2023 M. Liu et al.
3. Image compression–based DS-InSAR method for landslide identification and monitoring of alpine canyon region: a case study of Ahai Reservoir area in Jinsha River Basin X. Gu et al.
4. Landslide Susceptibility Mapping along a Rapidly Uplifting River Valley of the Upper Jinsha River, Southeastern Tibetan Plateau, China X. Sun et al.
5. Landslide-lake outburst floods accelerate downstream hillslope slippage W. Yang et al.
6. Evaluation of cumulative rainfall and rainfall event–duration threshold based on triggering and non-triggering rainfalls: Northern Thailand case A. Chinkulkijniwat et al.
7. Application of multi-source remote sensing technologies in identification and evolution mechanism analysis of creep landslides: a case study of Shibatai landslide in Wenchuan earthquake area D. Wang et al.
8. Extracting deforming landslides from time-series Sentinel-2 imagery D. Zhang et al.
9. New threshold for landslide warning in the southern part of Thailand integrates cumulative rainfall with event rainfall depth-duration R. Salee et al.
10. Review article: Deep learning for potential landslide identification: data, models, applications, challenges, and opportunities P. Jiang et al.
11. Urban Form and Function Optimization for Reducing Carbon Emissions Based on Crowd-Sourced Spatio-Temporal Data F. Cao et al.
12. Landslide Damming Threats Along the Jinsha River, China S. Xiao et al.
13. Characteristics of a rapid landsliding area along Jinsha River revealed by multi-temporal remote sensing and its risks to Sichuan-Tibet railway J. Yao et al.
14. Identification of Landslide Precursors for Early Warning of Hazards with Remote Sensing K. Strząbała et al.
15. A new type of sliding zone soil and its severe effect on the formation of giant landslides in the Jinsha River tectonic suture zone, China S. Ren et al.