7 citations as recorded by crossref.

1. Three-dimensional fusion of spaceborne and ground radar reflectivity data using a neural network-based approach L. Kou et al. https://doi.org/10.1007/s00376-017-6334-9
2. Leveraging machine learning for quantitative precipitation estimation from Fengyun-4 geostationary observations and ground meteorological measurements X. Li et al. https://doi.org/10.5194/amt-14-7007-2021
3. Two Different Integration Methods for Weather Radar-Based Quantitative Precipitation Estimation J. Ren et al. https://doi.org/10.1155/2017/1269748
4. A Review of the Past Half Century of Geostationary Satellite Thermal Observations for Global Precipitation Estimation: Developments, achievements, and future prospects S. Zhu et al. https://doi.org/10.1109/MGRS.2026.3665828
5. Generation of High-Resolution Blending Data Using Gridded Visibility Data and GK2A Fog Product M. Suh et al. https://doi.org/10.3390/rs16132350
6. The future of Earth observation in hydrology M. McCabe et al. https://doi.org/10.5194/hess-21-3879-2017
7. Assessing sampling and retrieval errors of GPROF precipitation estimates over the Netherlands L. Bogerd et al. https://doi.org/10.5194/amt-17-247-2024