15 citations as recorded by crossref.

1. Remote Sensing Precursors Analysis for Giant Landslides H. Lan et al. https://doi.org/10.3390/rs14174399
2. Impact of precipitation on Beishan landslide deformation from 1986 to 2023 M. Liu et al. https://doi.org/10.3389/feart.2023.1304969
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. https://doi.org/10.1007/s10346-024-02299-5
4. Landslide Susceptibility Mapping along a Rapidly Uplifting River Valley of the Upper Jinsha River, Southeastern Tibetan Plateau, China X. Sun et al. https://doi.org/10.3390/rs14071730
5. Landslide-lake outburst floods accelerate downstream hillslope slippage W. Yang et al. https://doi.org/10.5194/esurf-9-1251-2021
6. Evaluation of cumulative rainfall and rainfall event–duration threshold based on triggering and non-triggering rainfalls: Northern Thailand case A. Chinkulkijniwat et al. https://doi.org/10.1515/geo-2022-0747
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. https://doi.org/10.3389/feart.2025.1498028
8. Extracting deforming landslides from time-series Sentinel-2 imagery D. Zhang et al. https://doi.org/10.1007/s10346-022-01949-w
9. New threshold for landslide warning in the southern part of Thailand integrates cumulative rainfall with event rainfall depth-duration R. Salee et al. https://doi.org/10.1007/s11069-022-05292-0
10. Review article: Deep learning for potential landslide identification: data, models, applications, challenges, and opportunities P. Jiang et al. https://doi.org/10.5194/nhess-26-487-2026
11. Urban Form and Function Optimization for Reducing Carbon Emissions Based on Crowd-Sourced Spatio-Temporal Data F. Cao et al. https://doi.org/10.3390/ijerph191710805
12. Landslide Damming Threats Along the Jinsha River, China S. Xiao et al. https://doi.org/10.1016/j.eng.2024.07.001
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. https://doi.org/10.1007/s10346-021-01790-7
14. Identification of Landslide Precursors for Early Warning of Hazards with Remote Sensing K. Strząbała et al. https://doi.org/10.3390/rs16152781
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. https://doi.org/10.1007/s11069-023-05931-0