13 citations as recorded by crossref.

1. On the retrieval of sea-ice thickness using SMOS polarization differences M. GUPTA et al. https://doi.org/10.1017/jog.2019.26
2. The Arctic Ocean Observation Operator for 6.9 GHz (ARC3O) – Part 1: How to obtain sea ice brightness temperatures at 6.9 GHz from climate model output C. Burgard et al. https://doi.org/10.5194/tc-14-2369-2020
3. Atmospheric and Hydrospheric Characteristics in Contrasting Arctic and Intracontinental Regions of Northern Eurasia and Possible Mutual Influences T. Callaghan et al. https://doi.org/10.3390/w18020251
4. Arctic sea ice signatures: L-band brightness temperature sensitivity comparison using two radiation transfer models F. Richter et al. https://doi.org/10.5194/tc-12-921-2018
5. A Sea Ice Concentration Estimation Methodology Utilizing ICESat-2 Photon-Counting Laser Altimeter in the Arctic J. Liu et al. https://doi.org/10.3390/rs14051130
6. Assimilation of SMOS sea ice thickness in the regional ice prediction system M. Gupta et al. https://doi.org/10.1080/01431161.2021.1897183
7. Sea ice concentration inversion based on different Arctic sea ice types X. Wang et al. https://doi.org/10.3389/fmars.2024.1422187
8. Expected Performances of the Copernicus Imaging Microwave Radiometer (CIMR) for an All‐Weather and High Spatial Resolution Estimation of Ocean and Sea Ice Parameters L. Kilic et al. https://doi.org/10.1029/2018JC014408
9. Assessment with Controlled In-Situ Data of the Dependence of L-Band Radiometry on Sea-Ice Thickness P. Sánchez-Gámez et al. https://doi.org/10.3390/rs12040650
10. Reconstructing Pre-SMAP Archives of Polarized Brightness Temperatures in Arctic Sea Ice Leveraging ResNet-Based Conditional GANs S. Jo et al. https://doi.org/10.1109/TGRS.2025.3645345
11. Technical note: A sensitivity analysis from 1 to 40 GHz for observing the Arctic Ocean with the Copernicus Imaging Microwave Radiometer L. Kilic et al. https://doi.org/10.5194/os-17-455-2021
12. A New Sea Ice Concentration (SIC) Retrieval Algorithm for Spaceborne L-Band Brightness Temperature (TB) Data Y. Hu et al. https://doi.org/10.3390/rs18020265
13. An improved ARTSIST sea ice algorithm based on 19 GHz modified 91 GHz Z. Wu et al. https://doi.org/10.1007/s13131-019-1482-7