9 citations as recorded by crossref.

1. Opinion: Aerosol remote sensing over the next 20 years L. Remer et al. https://doi.org/10.5194/acp-24-2113-2024
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3. Global Aerosol Retrieval Over Land Using the Chinese Satellite Polarimeter DPC-2/GF-5(02) Z. Zhang et al. https://doi.org/10.1109/TGRS.2025.3633391
4. A Capsule Network Model for Aerosol Retrieval from DPC/Gaofen-5(02) Satellite Multi-Angle Polarimetric Observation H. Gu et al. https://doi.org/10.34133/remotesensing.1008
5. Satellite remote sensing of aerosol single scattering albedo: Instruments, algorithms, and challenges Y. Dong et al. https://doi.org/10.1016/j.jqsrt.2025.109802
6. Estimation of Cloud Condensation Nuclei (CCN) using a neural network retrieval algorithm—A synthetic study for SPEXone on the NASA PACE mission N. Hannadige et al. https://doi.org/10.1016/j.jqsrt.2026.109853
7. Comprehensive Analysis of Snow BRDF Variations by Assessing the Improved Kernel-Driven BRDF Model J. Guo et al. https://doi.org/10.3390/rs18101619
8. Simulation analysis of the effects of aerosol and surface albedo on the remote sensing detection of greenhouse gases in the short-wave infrared 1.6 μm M. Li et al. https://doi.org/10.54097/6epjpj62
9. A Sequence-to-Sequence Transformer Model for Satellite Retrieval of Aerosol Optical and Microphysical Parameters from Space L. Zhang et al. https://doi.org/10.3390/rs16244659