9 citations as recorded by crossref.

1. Machine Learning-Based Retrieval of Cloud Droplet Number Concentration and Liquid Water Path From Satellite Spectral Data J. Gonzalez et al. https://doi.org/10.1109/JSTARS.2025.3601981
2. Impacts of wildfire smoke aerosols on radiation, clouds, precipitation, climate, and air quality R. Barjeste Vaezi et al. https://doi.org/10.1016/j.aeaoa.2025.100322
3. Hygroscopicity of Organic Compounds as a Function of Their Physicochemical Properties N. Raparthi et al. https://doi.org/10.1021/acsestair.5c00061
4. Impacts of Aerosol Optical Depth on Different Types of Cloud Macrophysical and Microphysical Properties over East Asia X. Han et al. https://doi.org/10.3390/rs17213535
5. How meteorological conditions influence aerosol-cloud interactions under different pollution regimes J. Zhao et al. https://doi.org/10.5194/acp-25-17701-2025
6. Diverse aerosol effects revealed during wildfire and dust storm events in Ukraine in April 2020 M. Savenets et al. https://doi.org/10.1016/j.apr.2026.102906
7. Impacts of Aerosol Concentration Changes on Cloud Microphysics and Convective Intensity of the Southwest Vortex: Insights from MODIS Observations and Numerical Simulations Y. Wang et al. https://doi.org/10.3390/atmos17030259
8. Integrating a comprehensive index and the SWAT+ model to assess drought characteristics and risks under solar radiation modification H. Du et al. https://doi.org/10.1016/j.ecolind.2025.113852
9. Assessment of WRF-Chem model simulations of particulate matter in West Africa: a systematic review O. Ukachi & A. Onyejuruwa https://doi.org/10.1007/s44292-025-00060-8