7 citations as recorded by crossref.

1. Physics-guided machine learning approach for reconstructing air temperature in warm permafrost on the Qinghai‒Xizang Plateau C. Peng et al. https://doi.org/10.1016/j.accre.2026.04.013
2. The Response of Maximum Freezing Depth in the Permafrost Region of the Source Region of the Yellow River to Ground Temperature Change X. Bai & W. Wang https://doi.org/10.3390/atmos16121399
3. Data driven-based study on the evolution process of permafrost distribution in the Qinghai–Tibet Plateau under climate change from 1901 to 2020 R. Li et al. https://doi.org/10.1007/s00382-025-07855-w
4. High-resolution risk assessment reveals billion-dollar additional threat to infrastructure from permafrost thaw in the Qinghai‒Tibet engineering corridor W. Ni et al. https://doi.org/10.1016/j.accre.2026.03.003
5. Deep Learning-Based GPR Imaging for Permafrost: A Source Wavelet-Independent Inversion Approach J. Ge et al. https://doi.org/10.1109/TGRS.2025.3632923
6. Influence of earthquakes on landslide activity in the permafrost regions of the Qilian Mountains, China J. Zhang et al. https://doi.org/10.1002/esp.70251
7. 100-m and 1000-m regular grid observations reveal vegetation-controlled ground surface thermal differentiation in the alpine permafrost of the Headwater Area of the Yellow River J. Liu et al. https://doi.org/10.1016/j.geoderma.2026.117696