Yuanxin Liang

Chinese Academy of Meteorological Sciences

Papers

4

Total Citations

87

H-Index

3

About

Yuanxin Liang is a leading atmospheric scientist whose research focuses on the retrieval and characterization of aerosol optical properties and chemical composition using advanced satellite and ground-based remote sensing techniques. Dr. Liang’s major contributions center on the application of the Generalized Retrieval of Atmosphere and Surface Properties (GRASP) algorithm to derive long-term, component-segregated aerosol climatologies. In their highly cited 2022 study (41 citations), they produced the first climatology of aerosol component concentrations from POLDER-3 satellite observations, while a 2021 companion paper (37 citations) extended this approach to the global AERONET network, enabling extensive validation of aerosol chemical speciation. Their 2024 work (7 citations) further advanced the field by using CAMS reanalysis to attribute trends in aerosol optical depth to specific components over land from 2007–2019, offering critical insights into pollution dynamics. Dr. Liang also contributed to the intercomparison of SKYNET and AERONET retrievals over Beijing, demonstrating high correlation for aerosol optical depth. With a growing citation impact, Dr. Liang’s research is instrumental in bridging satellite and ground-based observations to improve our understanding of aerosol radiative forcing and air quality.

Research Focus

Key Achievements

3
H-Index
4
Papers
87
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
Climatology of aerosol component concentrations derived from multi-angular polarimetric POLDER-3 observations using GRASP algorithm
41 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 39
🏛 Institutions: Chinese Academy of Meteorological Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago