Air Pollution Forecasting
Air Pollution Forecasting is a predictive modeling approach that distinguishes itself by estimating future concentrations of atmospheric pollutants based on historical data, meteorological conditions, and emission sources within a defined spatiotemporal framework.
2.3K
Publications
132.1K
Citations
7.6K
Authors
2.1K
Institutions
Publications per year
2017–2026
1.4K
Parents
2.3K
1–5 of 2.3K
7.6K
17
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16
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14
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13
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12
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1–5 of 7.6K
2.1K

Chinese Academy of Sciences
Beijing, China
38 h-index
219 publications
21K citations

NSF National Center for Atmospheric Research
Boulder, United States
29 h-index
89 publications
5.5K citations

Peking University
Beijing, China
25 h-index
96 publications
11.9K citations

NOAA Air Resources Laboratory
College Park, United States
25 h-index
99 publications
13.5K citations
Tsinghua University
Beijing, China
25 h-index
78 publications
8.4K citations
Environmental Protection Agency
Washington, United States
24 h-index
99 publications
7.8K citations
National Oceanic and Atmospheric Administration
Washington, United States
23 h-index
100 publications
13.5K citations

Nanjing University of Information Science and Technology
Nanjing, China
23 h-index
134 publications
6K citations
1–8 of 2.1K
181 publications · 16.6K citations
72
h-index
68 publications · 6.3K citations
41
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60 publications · 4K citations
36
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71 publications · 4K citations
35
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48 publications · 3.6K citations
33
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1–5