Papers

2

Total Citations

43

H-Index

2

About

Yuanyuan Wei is a remote sensing scientist whose work focuses on atmospheric aerosol retrieval and particulate matter estimation using satellite and ground-based observations. Her key research areas include aerosol remote sensing, atmospheric particulate pollution monitoring, and the development of algorithms for high-resolution aerosol characterization. Wei made a significant contribution with her 2020 paper on an improved algorithm for retrieving high-resolution fine-mode aerosol from polarized satellite data, specifically applied and validated for the POLDER-3 instrument. This work, which has garnered 40 citations, enhances the ability to map fine particulate matter from space, a critical tool for studying air quality and its environmental and health impacts. Additionally, her research on estimating total suspended particles (TSP) mass concentration using sun sky photometer and lidar data demonstrates her expertise in integrating multi-sensor approaches for atmospheric monitoring. By advancing methods for high-resolution aerosol retrieval, Wei’s work supports more accurate assessments of particulate pollution, aiding both scientific understanding and policy formulation for mitigating air quality issues.

Research Focus

Key Achievements

2
H-Index
2
Papers
43
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
An improved algorithm for retrieving high resolution fine-mode aerosol based on polarized satellite data: Application and validation for POLDER-3
40 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago