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

Authors

3.1K

  1. QY
    Qi Ying

    Texas A&M University, United States

    14 publications · 796 citations

    14

    h-index

  2. HZ
    Hongliang Zhang

    Fudan University, China

    11 publications · 605 citations

    11

    h-index

  3. CS
    Christian Seigneur

    Atmospheric and Environmental Research, United States

    11 publications · 738 citations

    11

    h-index

  4. MJ
    Michael J. Kleeman

    University of California, Davis, United States

    10 publications · 480 citations

    10

    h-index

  5. PK
    Philip K. Hopke

    Clarkson University, United States

    9 publications · 1.3K citations

    9

    h-index

1–5 of 3.1K

Venues

  1. Atmospheric Environment

    94 publications · 7.7K citations

    47

    h-index

  2. Atmospheric chemistry and physics

    39 publications · 3.1K citations

    29

    h-index

  3. Environmental Science & Technology

    29 publications · 3.7K citations

    25

    h-index

  4. The Science of The Total Environment

    31 publications · 1.8K citations

    24

    h-index

  5. Atmospheric Pollution Research

    27 publications · 994 citations

    20

    h-index

1–5