Zhengqiang Li
Laboratoire d'Optique Atmosphérique, Chinese Academy of Sciences, University of Central Florida, Institute of Remote Sensing and Digital Earth, Centre National de la Recherche Scientifique, Hong Kong Polytechnic University, Shandong University, State Key Laboratory of Remote Sensing Science, Henan University of Engineering
Papers
61
Total Citations
1,912
H-Index
21
About
Zhengqiang Li is a prominent atmospheric scientist whose research sits at the intersection of aerosol remote sensing, air quality monitoring, and satellite data retrieval. Based at the Aerospace Information Research Institute of the Chinese Academy of Sciences, Li has made foundational contributions to understanding aerosol optical properties across East Asia and beyond. Li's most influential work established the China Aerosol Remote Sensing Network (CARSNET), introducing rigorous calibration protocols for sun photometers and validating aerosol optical depth (AOD) measurements against the globally trusted AERONET standard — a paper that has accumulated over 314 citations. His research spans sophisticated retrieval algorithms for geostationary satellites including GOCI, Himawari-8, and MODIS, employing both physics-based and machine learning approaches such as artificial neural networks and deep learning to improve AOD accuracy over complex East Asian landscapes. Li has also championed long-term, gap-free air pollution datasets through innovative tensor-flow-based data fusion (the LGHAP dataset, 143 citations), directly serving environmental management needs. His comparative studies of aerosol microphysical properties between cities like Beijing and Kanpur illuminate the human footprint on regional air quality. With thousands of cumulative citations and participation in major international networks including DRAGON, Li's work continues to shape how scientists monitor and understand atmospheric aerosols globally.
Research Focus
Key Achievements
Top Papers
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- 9Evaluation of PARASOL aerosol retrieval over North East Asia58 citations · 2007
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