22 citations as recorded by crossref.

1. Effects of GSICS correction on estimation of sea surface temperature using COMS data E. Park et al. https://doi.org/10.1080/01431161.2015.1007249
2. Applications of Geostationary Satellite Data to Aviation G. Ellrod & K. Pryor https://doi.org/10.1007/s00024-018-1821-1
3. On-orbit imager installation angles estimation and compensation based on time-series prediction method for GEO optical satellite J. Huang et al. https://doi.org/10.1007/s11082-024-07090-3
4. Machine Learning Approaches for Detecting Tropical Cyclone Formation Using Satellite Data M. Kim et al. https://doi.org/10.3390/rs11101195
5. Temporal Resolution Enhancement of COMS Satellite Using Geo-Kompsat-2A Satellite Through Data-to-Data Translation Y. Kim et al. https://doi.org/10.1109/JSTARS.2024.3396992
6. Automated Tropical Cyclone Intensity Estimation Through Integration of Historical Information and Self-Diagnosis Using AI Models H. Jung et al. https://doi.org/10.1109/TGRS.2025.3632317
7. Introduction of the Advanced Meteorological Imager of Geo-Kompsat-2a: In-Orbit Tests and Performance Validation D. Kim et al. https://doi.org/10.3390/rs13071303
8. Detection of Convective Initiation Using Meteorological Imager Onboard Communication, Ocean, and Meteorological Satellite Based on Machine Learning Approaches H. Han et al. https://doi.org/10.3390/rs70709184
9. COMS Visible Channel Calibration Using Moon Observation Data T. Oh & D. Kim https://doi.org/10.3390/rs10050726
10. Application of an artificial neural network for a direct estimation of atmospheric instability from a next-generation imager S. Lee et al. https://doi.org/10.1007/s00376-015-5084-9
11. Research and evaluation of attitude motion compensation method for imager onboard geostationary satellite J. Huang et al. https://doi.org/10.1007/s12596-025-02791-8
12. Remote Sensing Inversion of Typical Water Quality Parameters of a Complex River Network: A Case Study of Qidong’s Rivers X. Zhu et al. https://doi.org/10.3390/su15086948
13. Improved estimation of insolation by using calibrated COMS MI images over South Korea K. Han et al. https://doi.org/10.1080/2150704X.2015.1019651
14. Inter-comparison of the infrared channels of the meteorological imager onboard COMS and hyperspectral IASI data D. Kim et al. https://doi.org/10.1007/s00376-014-4124-1
15. Bridging satellite missions: deep transfer learning for enhanced tropical cyclone intensity estimation M. Choo et al. https://doi.org/10.1080/15481603.2024.2325720
16. Detection of deterministic and probabilistic convection initiation using Himawari-8 Advanced Himawari Imager data S. Lee et al. https://doi.org/10.5194/amt-10-1859-2017
17. Development and Analysis of COMS AMV Target Tracking Algorithm using Gaussian Cluster Analysis Y. Oh et al. https://doi.org/10.7780/kjrs.2015.31.6.4
18. NDFTC: A New Detection Framework of Tropical Cyclones from Meteorological Satellite Images with Deep Transfer Learning S. Pang et al. https://doi.org/10.3390/rs13091860
19. Retrieval and Analysis of Sea Surface Salinity in Coastal Waters Using Satellite Data Based on IGWO–BPNN: A Case Study of Qinzhou Bay, Guangxi, China M. Zhong et al. https://doi.org/10.3390/w17010094
20. Improved detection of low stratus and fog at dawn from dual geostationary (COMS and FY-2D) satellites J. Yoo et al. https://doi.org/10.1016/j.rse.2018.04.019
21. An Image Compensation Method for the Camera Onboard SDLT-1 Satellite of China J. Huang & J. Xi https://doi.org/10.1007/s12524-022-01555-2
22. On-orbit calibration based upon star observation to correct thermal deformation of geostationary optical satellites J. Huang et al. https://doi.org/10.1080/10739149.2024.2303596