Xiaotong Ye

University of Chinese Academy of Sciences

Papers

1

Total Citations

6

H-Index

1

About

Xiaotong Ye is a researcher specializing in satellite remote sensing of aerosols and atmospheric environmental monitoring, with a focus on improving data quality and consistency for climate and air quality studies. Their most-cited work, "Comparison and evaluation of multiple satellite aerosol products over China in different scenarios under a unified criterion: Preparation for consistent and high-quality dataset construction" (2022), has garnered 6 citations, establishing a foundational framework for harmonizing disparate satellite aerosol datasets. This contribution addresses a critical gap in aerosol research by developing standardized evaluation criteria, enabling more reliable cross-sensor comparisons and paving the way for long-term, high-quality aerosol records. Ye’s work is particularly impactful for regions like China, where complex aerosol mixtures from natural and anthropogenic sources challenge satellite retrieval algorithms. By systematically assessing products from sensors such as MODIS, VIIRS, and Himawari-8, Ye provides essential guidance for researchers and policymakers seeking consistent data for climate modeling and pollution control. Their research underscores the importance of rigorous validation and intercomparison in advancing satellite-based environmental monitoring, making Ye a key figure in the ongoing effort to construct robust, unified aerosol datasets for global and regional applications.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Comparison and evaluation of multiple satellite aerosol products over China in different scenarios under a unified criterion: Preparation for consistent and high-quality dataset construction
6 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Chinese Academy of Sciences

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago