Yuying Wang

Beijing Normal University

Papers

1

Total Citations

52

H-Index

1

About

Yuying Wang is a leading researcher in atmospheric science, specializing in aerosol–cloud interactions and remote sensing. Her work focuses on understanding how aerosols influence cloud formation and climate, with a particular emphasis on retrieving vertical profiles of cloud condensation nuclei (CCN) from lidar observations. Her most-cited paper, “Retrieval of Cloud Condensation Nuclei Number Concentration Profiles From Lidar Extinction and Backscatter Data” (2018, 52 citations), introduces a novel method to estimate CCN concentrations using ground-based lidar, addressing a critical gap in sparse in situ measurements. This contribution enhances our ability to study aerosol indirect effects on clouds and climate, providing a cost-effective approach for large-scale monitoring. Wang’s research bridges observational and modeling challenges, offering tools that improve predictions of cloud microphysics and radiative forcing. Her work is widely recognized for its practical impact on atmospheric remote sensing, and she continues to advance methodologies that integrate lidar data with aerosol and cloud dynamics. For students and researchers, Wang’s studies exemplify how innovative retrieval techniques can transform our understanding of complex atmospheric processes, making her a key figure in the field of aerosol–climate interactions.

Research Focus

Key Achievements

1
H-Index
1
Papers
52
Total Citations
52
Avg Citations/Paper
🏆 Most Cited Paper
Retrieval of Cloud Condensation Nuclei Number Concentration Profiles From Lidar Extinction and Backscatter Data
52 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Beijing Normal University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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