12 citations as recorded by crossref.

1. Landslide susceptibility prediction in the loess tableland considering geomorphic evolution X. Liu et al. 10.1016/j.catena.2024.108668
2. Sustained high magnitude erosional forcing generates an organic carbon sink: Test and implications in the Loess Plateau, China Y. Li et al. 10.1016/j.epsl.2014.11.036
3. Automatic Landform Recognition from the Perspective of Watershed Spatial Structure Based on Digital Elevation Models S. Lin et al. 10.3390/rs13193926
4. Large-scale spatial variability in loess landforms and their evolution, Luohe River Basin, Chinese Loess Plateau H. Wei et al. 10.1016/j.geomorph.2022.108407
5. Landform classification based on landform geospatial structure – a case study on Loess Plateau of China S. Lin et al. 10.1080/17538947.2022.2088874
6. Performance comparison among typical open global DEM datasets in the Fenhe River Basin of China S. Zhao et al. 10.1080/22797254.2021.1891577
7. Employment of Continuous Slope Cumulative Frequency Spectrum in geomorphology quantitative analysis – a case study on Loess Plateau S. Lin & N. Chen 10.1016/j.geomorph.2022.108405
8. Response of soil erodibility of permanent gully heads to revegetation along a vegetation zone gradient in the loess-table and gully region of the Chinese Loess Plateau Z. Chen et al. 10.1016/j.scitotenv.2023.164833
9. Quantitatively Disentangling the Geographical Impacts of Topography on PM2.5 Pollution in China Y. Wen et al. 10.3390/rs14246309
10. Landslide susceptibility zonation using the analytical hierarchy process (AHP) in the Great Xi’an Region, China X. Liu et al. 10.1038/s41598-024-53630-y
11. A quantitative model to simulate the vertical errors of SRTM3 DEM V4 data at the pixel level in the Shanbei Plateau of China S. Zhao et al. 10.1080/01431161.2020.1734250
12. Quantitative analysis and spatial distribution of landform spatial structure on Loess Plateau S. Lin et al. 10.1177/03091333221134192