35 citations as recorded by crossref.

1. 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
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3. Formation mechanism of climate warming-induced landslides in permafrost along the Qinghai-Tibet Engineering corridor T. Wei et al. 10.3389/feart.2024.1503980
4. Thaw Slump Susceptibility Mapping Based on Sample Optimization and Ensemble Learning Techniques in Qinghai-Tibet Railway Corridor Y. He et al. 10.1109/JSTARS.2024.3368039
5. Thermokarst hazard dataset for Qilian mountains permafrost regions in China Y. Zhang et al. 10.1016/j.dib.2025.111430
6. Numerical simulation for vibration-induced settlement and permanent deformation accumulation in permafrost subgrades of the Qinghai-Tibet Railway C. Tang et al. 10.1016/j.compgeo.2023.106047
7. Distribution and Morphometry of Thermocirques in the North of West Siberia, Russia M. Leibman et al. 10.3390/geosciences13060167
8. Allometric scaling of retrogressive thaw slumps J. van der Sluijs et al. 10.5194/tc-17-4511-2023
9. Prominent creep characteristics of thermokarst landslides on central Tibetan Plateau under climate warming conditions Y. Liu et al. 10.1016/j.catena.2024.108457
10. Numerical analysis of the impacts of rainfall on permafrost-related slope stability on the Qinghai–Tibet Plateau J. Hao et al. 10.1016/j.ejrh.2023.101439
11. Classification of cryogenic-landslide landforms for mapping and prediction M. Leibman et al. 10.30758/0555-2648-2023-69-4-486-500
12. Multi-hazard susceptibility mapping of cryospheric hazards in a high-Arctic environment: Svalbard Archipelago I. Nicu et al. 10.5194/essd-15-447-2023
13. MT-InSAR Unveils Dynamic Permafrost Disturbances in Hoh Xil (Kekexili) on the Tibetan Plateau Hinterland P. Lu et al. 10.1109/TGRS.2023.3253937
14. Recognition of thaw slumps based on machine learning and UAVs: A case study in the Qilian Mountains, northeastern Qinghai-Tibet Plateau P. Lou et al. 10.1016/j.jag.2022.103163
15. Susceptibility Mapping of Thaw Slumps Based on Neural Network Methods along the Qinghai–Tibet Engineering Corridor P. Li et al. 10.3390/su16125120
16. Abrupt thaw and its effects on permafrost carbon emissions in the Tibetan Plateau: A remote sensing and modeling perspective Y. Yi et al. 10.1016/j.earscirev.2024.105020
17. Identifying active retrogressive thaw slumps from ArcticDEM L. Huang et al. 10.1016/j.isprsjprs.2023.10.008
18. Retrogressive thaw slump susceptibility in the northern hemisphere permafrost region E. Makopoulou et al. 10.1002/esp.5890
19. Near Pan-Svalbard permafrost cryospheric hazards inventory (SvalCryo) I. Nicu et al. 10.1038/s41597-024-03754-7
20. Recent rapid initiation and growth of retrogressive thaw slumps in the Hoh Xil region of the Qinghai-Tibetan Plateau J. Luo et al. 10.1016/j.catena.2024.108158
21. Permafrost Degradation Threatening the Qinghai−Xizang Railway Q. Wu et al. 10.1016/j.eng.2024.01.023
22. The first hillslope thermokarst inventory for the permafrost region of the Qilian Mountains X. Peng et al. 10.5194/essd-16-2033-2024
23. Enhanced detection of freeze‒thaw induced landslides in Zhidoi county (Tibetan Plateau, China) with Google Earth Engine and image fusion J. Yang et al. 10.1016/j.accre.2024.03.002
24. Assessing the impact of retrogressive thaw slump on soil structure by analyzing the multifractal characteristics of soil particle size distribution on the Qinghai–Tibet Plateau Z. Sun et al. 10.1016/j.catena.2024.108472
25. Distribution and Recurrence of Warming‐Induced Retrogressive Thaw Slumps on the Central Qinghai‐Tibet Plateau D. Yang et al. 10.1029/2022JF007047
26. Retrogressive thaw slumps recognition and occurrence analysis using deep learning with satellite remote sensing in the central Qinghai-Tibet Plateau F. Wu et al. 10.1016/j.geomorph.2024.109581
27. Quantifying the effect of a retrogressive thaw slump on soil freeze–thaw erosion in permafrost regions on the Qinghai–Tibet Plateau, China C. Jiao et al. 10.1002/ldr.4631
28. Formation and evolution of thermokarst landslides in the Qinghai-Tibet Plateau, China T. Wei et al. 10.1016/j.scitotenv.2024.176557
29. High-resolution assessment of retrogressive thaw slump susceptibility in the Qinghai-Tibet Engineering Corridor G. Yin et al. 10.1016/j.rcar.2023.11.006
30. Permafrost thaw and thermokarst in the source region of the Yangtze river in the central Tibetan plateau revealed by radar and optical remote sensing L. Wang et al. 10.1002/esp.5969
31. Potential of Multi-temporal InSAR for Detecting Retrogressive Thaw Slumps: A Case of the Beiluhe Region of the Tibetan Plateau Z. Jiao et al. 10.1007/s13753-023-00505-x
32. Deformation and Volumetric Change in a Typical Retrogressive Thaw Slump in Permafrost Regions of the Central Tibetan Plateau, China C. Jiao et al. 10.3390/rs14215592
33. Landslides along the Engineering Corridors in the Northeastern Margin of the Qinghai-Tibet Plateau of China: Comprehensive Inventory and Mechanism Analysis J. Zhang et al. 10.1007/s10346-024-02341-6
34. Improved ISBAS for early identifying Qinghai-Tibet Plateau potential thermokarst landslides regions F. Wang et al. 10.1016/j.catena.2024.108617
35. Accuracy, Efficiency, and Transferability of a Deep Learning Model for Mapping Retrogressive Thaw Slumps across the Canadian Arctic L. Huang et al. 10.3390/rs14122747