13 citations as recorded by crossref.

1. MET-AICE v1.0: an operational data-driven sea ice prediction system for the European Arctic C. Palerme et al. https://doi.org/10.5194/gmd-18-9751-2025
2. A Weakly Supervised Learning Approach for Sea Ice Stage of Development Classification From AI4Arctic Sea Ice Challenge Dataset X. Chen et al. https://doi.org/10.1109/TGRS.2025.3542803
3. Topography-Enhanced Multilevel Residual Attention U-Net Model for Sea Ice Concentration Spatial Super-Resolution Prediction J. He et al. https://doi.org/10.1109/JSTARS.2025.3594761
4. GLFFuse: A Multimodal Feature-Level Fusion Network for Multitask Fine-Grained Recognition of Arctic Sea Ice T. Ma et al. https://doi.org/10.1109/JSTARS.2026.3660828
5. Toward Higher Resolution Arctic Winter Sea Ice Concentration: Addressing Sentinel-1 Misclassification With AMSR2 Data Fusion J. Rusin et al. https://doi.org/10.1109/JSTARS.2026.3676222
6. Geographically-weighted weakly supervised Bayesian High-Resolution Transformer for 200 m resolution pan-Arctic sea ice concentration mapping and uncertainty estimation using Sentinel-1, RCM, and AMSR2 data M. Heffring & L. Xu https://doi.org/10.1016/j.isprsjprs.2026.05.032
7. Research Progress of Deep Learning in Sea Ice Prediction J. Ran et al. https://doi.org/10.3390/rs18030419
8. High Resolution Sea Ice Concentration Using a Sentinel-1 U-Net Ice-Water Classifier J. Rusin et al. https://doi.org/10.1109/JSTARS.2025.3553623
9. Sea ice concentration estimation via physical information-guided multi-source data fusion and spatial continuity preservation X. Liu et al. https://doi.org/10.1016/j.jag.2026.105339
10. Uncertainty Estimation of Lake Ice Cover Maps From a Random Forest Classifier Using MODIS TOA Reflectance Data N. Saberi et al. https://doi.org/10.1109/JSTARS.2024.3518306
11. Enhancing Polar Sea Ice Estimation: Deep SARU-Net for Spatiotemporal Super-Resolution Approach J. He et al. https://doi.org/10.3390/rs17233839
12. A decade of sea ice concentration retrieved from sentinel-1 T. Wulf et al. https://doi.org/10.1016/j.rse.2026.115252
13. Region-wise query-guided adaptive multimodal fusion network for fine-grained arctic sea ice recognition T. Ma et al. https://doi.org/10.1080/17538947.2026.2658300