Particulate Matter Modeling
Particulate Matter Modeling is a computational or mathematical framework designed to simulate, predict, or analyze the formation, dispersion, transformation, and deposition of particulate matter in the atmosphere by integrating physical, chemical, and environmental processes specific to aerosol dynamics and air quality systems.
767
Publications
46.5K
Citations
3.1K
Authors
1K
Institutions
Publications per year
2017–2026
327
Parents
767
1–5 of 767
3.1K
14
h-index
11
h-index
Atmospheric and Environmental Research, United States
11 publications · 738 citations
11
h-index
10
h-index
9
h-index
1–5 of 3.1K
1K

Chinese Academy of Sciences
Beijing, China
27 h-index
143 publications
6.2K citations
Environmental Protection Agency
Washington, United States
25 h-index
73 publications
6.2K citations

Research Triangle Park Foundation
Durham, United States
20 h-index
58 publications
3.7K citations
Tsinghua University
Beijing, China
20 h-index
55 publications
7.4K citations
Institute of Atmospheric Physics
Beijing, China
16 h-index
58 publications
3.2K citations
Georgia Institute of Technology
Atlanta, United States
15 h-index
51 publications
2.4K citations

Nanjing University of Information Science and Technology
Nanjing, China
15 h-index
62 publications
4K citations
Harvard University
Cambridge, United States
15 h-index
48 publications
9.6K citations
1–8 of 1K
94 publications · 7.7K citations
47
h-index
39 publications · 3.1K citations
29
h-index
29 publications · 3.7K citations
25
h-index
31 publications · 1.8K citations
24
h-index
27 publications · 994 citations
20
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1–5