Zhenxing Ma

Tianjin Normal University

Papers

1

Total Citations

14

H-Index

1

About

Zhenxing Ma is a researcher specializing in atmospheric aerosol remote sensing and environmental data fusion. His work focuses on the validation and calibration of satellite-derived aerosol optical depth (AOD) and the classification of aerosol types, particularly over China—a region with complex aerosol mixtures from both natural and anthropogenic sources. In his most-cited paper, published in 2023, Ma developed a framework integrating multi-source data to improve the accuracy of AOD measurements and systematically categorize aerosol types, such as dust, urban-industrial, and biomass-burning particles. This contribution is critical for enhancing climate models and air quality monitoring, as accurate aerosol characterization directly impacts radiative forcing assessments and pollution control strategies. With 14 citations since its publication, his research has already gained traction among peers working on atmospheric correction and environmental health. Ma’s work stands out for its practical application in regions with high aerosol loading, offering a robust method to reconcile discrepancies between ground-based and satellite observations. His achievements underscore a commitment to bridging data gaps in Earth observation, making his findings valuable for both scientific communities and policy-making bodies addressing air quality challenges in China.

Research Focus

Key Achievements

1
H-Index
1
Papers
14
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Validation and calibration of aerosol optical depth and classification of aerosol types based on multi-source data over China
14 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Tianjin Normal University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago