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

Authors

7.6K

  1. JW
    Jianzhou Wang

    Dongbei University of Finance and Economics, China

    19 publications · 1K citations

    17

    h-index

  2. RM
    Rohit Mathur

    Environmental Protection Agency, United States

    16 publications · 1.2K citations

    16

    h-index

  3. DK
    Daiwen Kang

    Environmental Protection Agency, United States

    14 publications · 905 citations

    14

    h-index

  4. AB
    Alexander Baklanov

    Danish Meteorological Institute, Denmark

    13 publications · 1.7K citations

    13

    h-index

  5. GR
    Gregory R. Carmichael

    University of Iowa, United States

    12 publications · 1.1K citations

    12

    h-index

1–5 of 7.6K

Venues

  1. Atmospheric Environment

    181 publications · 16.6K citations

    72

    h-index

  2. The Science of The Total Environment

    68 publications · 6.3K citations

    41

    h-index

  3. Atmospheric chemistry and physics

    60 publications · 4K citations

    36

    h-index

  4. Atmospheric Pollution Research

    71 publications · 4K citations

    35

    h-index

  5. Journal of Cleaner Production

    48 publications · 3.6K citations

    33

    h-index

1–5