9 citations as recorded by crossref.

1. Prelaunch Radiometric Characterization and Reflector Emissivity Measurement of the Second-Generation Microwave Radiation Imager Onboard Fengyun-3 Satellite P. Yao et al. https://doi.org/10.1109/TGRS.2026.3669973
2. Improved snow depth retrieval over Arctic sea ice from FY-3 satellites using machine learning and its future scenario projection C. Ke et al. https://doi.org/10.1016/j.jhydrol.2024.132105
3. A combined multi-source data and deep learning approach for retrieving snow depth on Antarctic Sea ice during the melting season Z. Yan et al. https://doi.org/10.1080/17538947.2024.2376260
4. 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
5. The In-Orbit Performance of Chinese First FengYun Rainfall Mission FY-3G P. Zhang et al. https://doi.org/10.1109/JPROC.2025.3605964
6. Adjoint-based simultaneous state and parameter estimation in an Arctic Sea Ice-Ocean Model using MITgcm (c63m) G. Lyu et al. https://doi.org/10.5194/gmd-18-9451-2025
7. Remote sensing of vegetation phenology in the northern hemisphere from multi-channel passive microwave measurements of Chinese FengYun-3D satellite Y. Wang et al. https://doi.org/10.1016/j.rse.2025.114997
8. Observation-constrained explainable reconstruction of snow depth on Antarctic sea ice reveals strong regional asymmetry during 1993–2021 Y. Cao et al. https://doi.org/10.1016/j.accre.2026.07.008
9. Estimation of IFOV Inter-Channel Deviation for Microwave Radiation Imager Onboard FY-3G Satellite P. Yao et al. https://doi.org/10.3390/rs16193571