Min Xue

China Meteorological Administration

Papers

2

Total Citations

119

H-Index

2

About

Min Xue is a researcher specializing in mesoscale atmospheric modeling, aerosol-meteorology interactions, and air quality dynamics, with a particular focus on China's most severely polluted urban regions. His work has made significant contributions to understanding the complex relationships between aerosol distributions and planetary boundary layer (PBL) meteorology, particularly during haze episodes in the Beijing-Tianjin-Hebei (Jing-Jin-Ji) region — an area that has surpassed even the Yangtze and Pearl River Deltas in pollution severity. Xue's most influential research employs sophisticated mesoscale modeling techniques to disentangle how aerosols interact with and feedback upon meteorological conditions during pollution events. His 2015 study on aerosol distributions and meteorological features during haze episodes has garnered 117 citations, reflecting its substantial impact on the atmospheric science community and its value as a foundational reference for researchers tackling China's air quality crisis. By illuminating how urban emission patterns and boundary layer dynamics collectively drive haze formation, Xue's work provides critical insights for policymakers and scientists working toward cleaner air solutions in China's most densely populated and industrialized corridors. His research remains an essential resource for students and scholars studying regional air pollution and climate-aerosol feedbacks.

Research Focus

Key Achievements

2
H-Index
2
Papers
119
Total Citations
60
Avg Citations/Paper
🏆 Most Cited Paper
Mesoscale modeling study of the interactions between aerosols and PBL meteorology during a haze episode in Jing–Jin–Ji (China) and its nearby surrounding region – Part 1: Aerosol distributions and meteorological features
117 citations · 2015
📈 Most Prolific Year: 2015 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: China Meteorological Administration

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago