Lunche Wang
Papers
21
Total Citations
956
H-Index
16
About
Lunche Wang is a prominent atmospheric scientist whose research sits at the intersection of remote sensing, aerosol science, and air quality monitoring. His work has fundamentally advanced our ability to retrieve and validate aerosol optical depth (AOD) from satellite platforms, including MODIS, VIIRS, MISR, and Landsat, developing novel algorithms that dramatically improve spatial resolution for city-level pollution monitoring. Wang's contributions span global and regional scales, with significant focus on aerosol characterization over East Asia and South Asia, including influential pollution assessments over China and Pakistan. His 2021 global validation of the MODIS MAIAC aerosol product (125 citations) and his widely cited Pakistan pollution study (141 citations) exemplify the breadth and policy relevance of his research. Beyond aerosol retrieval, Wang has pioneered hybrid radiative transfer–machine learning approaches to predicting surface solar radiation, reflecting his growing engagement with artificial intelligence in atmospheric science. Collectively, his ten most-cited papers have accumulated nearly 740 citations, underscoring his sustained influence on satellite-based air quality research and his role in shaping how scientists and policymakers understand particulate pollution across some of the world's most heavily affected regions.
Research Focus
Key Achievements
Top Papers
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- 2MODIS high-resolution MAIAC aerosol product: Global validation and analysis125 citations · 2021
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