7 citations as recorded by crossref.

1. LiMOSAT: a system for deriving Lagrangian sea-ice motion from satellite data S. Chua et al. https://doi.org/10.1080/01431161.2026.2709704
2. Self-SIDNet: A Self-Supervised Network for Winter Arctic Sea Ice Drift Extraction From AMSR2 Passive Microwave Data P. Jiang et al. https://doi.org/10.1109/JSTARS.2026.3697119
3. Daily Prediction of Sea Ice Drift at Kilometer-Scale Using Deep-Learning Method J. Ren et al. https://doi.org/10.1109/JSTARS.2025.3617067
4. A Framework for Fine-Resolution and Spatially Continuous Arctic Sea Ice Drift Retrieval Using Multisensor Data X. Wang et al. https://doi.org/10.1109/TGRS.2024.3394882
5. Discrimination between sea ice and clouds over the Chukchi Sea via China’s ultraviolet–visible-infrared observations Z. Suo et al. https://doi.org/10.1016/j.jag.2025.104508
6. Fusion of Arctic sea ice drift results from multi-frequency and multi-polarization AMSR2 data using a random forest approach P. Jiang et al. https://doi.org/10.1080/17538947.2025.2569404
7. Overview of the studies on the interactions between atmosphere, sea ice, and ocean in the Arctic Ocean and its climatic effects: contributions from Chinese scientists R. Lei et al. https://doi.org/10.1007/s13131-025-2466-4