Liangfu Chen
Papers
10
Total Citations
217
H-Index
8
About
Liangfu Chen is a prominent atmospheric scientist whose research focuses on satellite remote sensing of aerosols, air quality monitoring, and the characterization of particulate pollution across East Asia. Based at a leading Chinese research institution, Chen has made substantial contributions to developing and refining aerosol retrieval algorithms using major satellite platforms including MODIS, MISR, VIIRS, Himawari-8's Advanced Himawari Imager, and China's Fengyun-4A — advancing the scientific community's ability to monitor aerosol optical depth (AOD) and aerosol type distributions with greater precision and spatial resolution. Chen's most cited work addresses the challenging problem of haze retrieval over China's heavily polluted North China Plain, where standard NASA aerosol products frequently fail due to cloud masking issues. His research has also documented the measurable reversal of aerosol properties following China's landmark clean air policies enacted after 2013, providing compelling satellite-based evidence of emission reductions at regional scale. More recently, Chen has embraced physics-informed deep learning methods to accelerate and improve multiangle polarimetric aerosol retrievals, reflecting a forward-looking integration of machine learning with established atmospheric physics. With papers accumulating over 200 citations collectively, Chen's work is increasingly indispensable for researchers studying aerosol-climate interactions, air pollution assessment, and environmental policy evaluation across Asia.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10