12 citations as recorded by crossref.

1. Insight into global climatology of melting layer: latitudinal dependence and orographic relief X. Hu et al. https://doi.org/10.1007/s00704-024-04926-6
2. Study of melting layer features related to atmospheric parameters over a tropical location P. Saha et al. https://doi.org/10.1016/j.asr.2023.03.013
3. Atmospheric Rivers in South-Central Chile: Zonal and Tilted Events R. Garreaud et al. https://doi.org/10.3390/atmos15040406
4. Rain Height and Satellite Interference over Malaysia from 1992 to 2022 N. Hasan et al. https://doi.org/10.48084/etasr.8138
5. Precipitation Phase Classification with X-Band Polarimetric Radar and Machine Learning Using Micro Rain Radar and Disdrometer Data in Grenoble (French Alps) F. Polls et al. https://doi.org/10.3390/rs18030433
6. Microwave Scattering Properties of Melting Ice Crystal Particles Computed Using the Discrete Dipole Approximation Method and Deep Learning Approaches X. Zhang et al. https://doi.org/10.1109/TGRS.2026.3723439
7. Classifying thermodynamic cloud phase using machine learning models L. Goldberger et al. https://doi.org/10.5194/amt-18-5393-2025
8. Snow transitions to rain: A review of atmospheric melting layer studies using micro rain radar and complementary approaches H. Hosseini et al. https://doi.org/10.1016/j.atmosres.2025.108307
9. A New Methodology to Characterise the Radar Bright Band Using Doppler Spectral Moments from Vertically Pointing Radar Observations A. Garcia-Benadí et al. https://doi.org/10.3390/rs13214323
10. Measured and modeled vertical structure of precipitation during mixed-phase event near the West Coast of the Antarctic Peninsula D. Pishniak & S. Razumnyi https://doi.org/10.33275/1727-7485.1.2022.689
11. Machine Learning Detection of Melting Layers From Radar Observations Y. Xie et al. https://doi.org/10.1029/2024JH000521
12. Multi‐Year Analysis of Rain‐Snow Levels at Marquette, Michigan J. Shates et al. https://doi.org/10.1029/2022JD037132