Xuan Gui

China University of Geosciences

Papers

2

Total Citations

65

H-Index

2

About

Xuan Gui is a leading figure in satellite-based aerosol remote sensing, whose work is pivotal for understanding climate change and air quality. His research centers on the retrieval and validation of aerosol optical properties, particularly fine mode aerosol optical depth (AODF) and the fine mode fraction (FMF), which are critical for distinguishing natural dust from anthropogenic pollution. Gui’s major contribution is the development of an improved MODIS Dark Target algorithm that enables more accurate retrieval of total and fine mode aerosol optical depth over land, a historically challenging task. This work, published in 2022, has already garnered 37 citations, reflecting its immediate impact on the field. Furthermore, his comprehensive 2023 study, with 28 citations, provides a rigorous validation and inter-comparison of six latest VIIRS and MODIS aerosol products, offering clear usage recommendations for both ocean and land surfaces on global and regional scales. Gui’s research provides essential tools for the scientific community, enabling more precise assessments of aerosol radiative forcing and their effects on climate and human health.

Research Focus

Key Achievements

2
H-Index
2
Papers
65
Total Citations
33
Avg Citations/Paper
🏆 Most Cited Paper
Retrieval of total and fine mode aerosol optical depth by an improved MODIS Dark Target algorithm
37 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: China University of Geosciences

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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