Papers

2

Total Citations

46

H-Index

2

About

Dr. Yan Bai is a leading figure in satellite ocean color remote sensing, with a focused expertise on correcting atmospheric interference and expanding the usability of ocean color data in challenging environments. Her major contributions address two critical gaps: improving data accuracy in coastal waters affected by absorbing aerosols, and recovering missing wintertime observations in high-latitude oceans. Her 2023 paper on atmospheric correction for coastal waters has already garnered 30 citations, underscoring its immediate impact on refining satellite retrievals. In her 2022 work, she tackled the persistent problem of winter data gaps in the Southern Hemisphere’s high-latitude oceans, where seasonal darkness and cloud cover typically render satellite products ineffective. By developing restoration methods, Bai’s research enables year-round monitoring of marine ecosystems in these understudied regions, providing crucial insights into polar and subpolar ocean dynamics. Her work is instrumental for scientists studying climate-driven changes in ocean color, phytoplankton blooms, and carbon cycling, making her a key contributor to advancing global ocean remote sensing capabilities.

Research Focus

Key Achievements

2
H-Index
2
Papers
46
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Atmospheric correction of absorbing aerosols for satellite ocean color remote sensing over coastal waters
30 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Ministry of Natural Resources, Shanghai Jiao Tong University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago