14 citations as recorded by crossref.

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7. Estimating High Spatio-Temporal Resolution Rainfall from MSG1 and GPM IMERG Based on Machine Learning: Case Study of Iran N. Turini et al. https://doi.org/10.3390/rs11192307
8. Combining MWL and MSG SEVIRI Satellite Signals for Rainfall Detection and Estimation K. Kumah et al. https://doi.org/10.3390/atmos11090884
9. The MSG Technique: Improving Commercial Microwave Link Rainfall Intensity by Using Rain Area Detection from Meteosat Second Generation K. Kumah et al. https://doi.org/10.3390/rs13163274
10. Using the Gradient Boosting Decision Tree to Improve the Delineation of Hourly Rain Areas during the Summer from Advanced Himawari Imager Data L. Ma et al. https://doi.org/10.1175/JHM-D-17-0109.1
11. High Temporal Rainfall Estimations from Himawari-8 Multiband Observations Using the Random-Forest Machine-Learning Method H. HIROSE et al. https://doi.org/10.2151/jmsj.2019-040
12. Hypothetical Cirrus Band Generation for Advanced Himawari Imager Sensor Using Data-to-Data Translation With Advanced Meteorological Imager Observations J. Park et al. https://doi.org/10.1109/JSTARS.2022.3224911
13. Infrared Precipitation Estimation Using Convolutional Neural Network C. Wang et al. https://doi.org/10.1109/TGRS.2020.2989183
14. Rain Area Detection in South-Western Kenya by Using Multispectral Satellite Data from Meteosat Second Generation K. Kingsley et al. https://doi.org/10.3390/s21103547