16 citations as recorded by crossref.

1. ICESat-2 Crossover-Constrained refinement of the Copernicus 30 m DEM in selected Antarctic regions using Machine learning X. Li et al. https://doi.org/10.1016/j.jag.2026.105291
2. ICESat-2 Controlled Integration of GEDI and SRTM Data for Large-Scale Digital Elevation Model Generation X. Tian & J. Shan https://doi.org/10.1109/TGRS.2024.3389821
3. Fifty years of instrumental surface mass balance observations at Vostok Station, central Antarctica A. Ekaykin et al. https://doi.org/10.1017/jog.2023.53
4. Error-Reduced Digital Elevation Model of the Qinghai-Tibet Plateau using ICESat-2 and Fusion Model X. Zhang et al. https://doi.org/10.1038/s41597-024-03428-4
5. Suitability analysis of human activities over Antarctic ice shelves: an integrated assessment of natural conditions based on machine learning algorithms B. Yang et al. https://doi.org/10.1080/17538947.2023.2283490
6. Slope Effect Correction for ICESat-2 Ground Photon Extraction in Forest Areas R. Zhao et al. https://doi.org/10.1109/TGRS.2025.3634740
7. A new high-resolution global topographic factor dataset calculated based on SRTM Y. Sun et al. https://doi.org/10.1038/s41597-024-02917-w
8. Building multi-satellite DEM time series for insight into mélange inside large rifts in Antarctica M. Xia et al. https://doi.org/10.5194/tc-19-6749-2025
9. Digital Elevation Models and Orthomosaics of 1989 aerial imagery of the Western Antarctic Peninsula and surrounding islands between 66–68° S V. Thota et al. https://doi.org/10.5194/essd-18-597-2026
10. A framework for automated supraglacial lake detection and depth retrieval in ICESat-2 photon data across the Greenland and Antarctic ice sheets P. Arndt & H. Fricker https://doi.org/10.5194/tc-18-5173-2024
11. Comparative validation of the radar interferometry-based SYM12 Using ICESat-2 ATL03 and ground-based GPS measurements Y. Kaya https://doi.org/10.51489/tuzal.1665238
12. Global digital elevation model (GDEM) product generation by correcting ASTER GDEM elevation with ICESat-2 altimeter data B. Li et al. https://doi.org/10.5194/essd-17-205-2025
13. Photon-Counting Lidar Remote Sensing: Current progress and future trends L. Wu et al. https://doi.org/10.1109/MGRS.2026.3660928
14. Learning-Based Spatial Interpolation for Sparse Space Altimetry Measurements X. Tian & J. Shan https://doi.org/10.1109/TGRS.2025.3643406
15. A photon point cloud denoising algorithm based on multi-feature combination and machine learning C. Hong et al. https://doi.org/10.1080/17538947.2026.2645302
16. Global glacier albedo changes in the 21st century revealed by MODIS and CMIP6 models Y. Xiao et al. https://doi.org/10.1080/17538947.2026.2681373