Temporal Source Apportionment

Temporal Source Apportionment is a methodological framework within source apportionment that distinguishes itself by attributing pollution sources to measured concentration data through explicit time-resolved analysis, thereby enabling the identification of source contributions that vary dynamically over discrete temporal intervals.

349

Publications

19.7K

Citations

1.9K

Authors

535

Institutions

Publications per year

2017–2026

235

Authors

1.9K

  1. PK
    Philip K. Hopke

    Clarkson University, United States

    8 publications · 452 citations

    8

    h-index

  2. JC
    Junji Cao

    Chinese Academy of Sciences, China

    7 publications · 457 citations

    7

    h-index

  3. ZS
    Zhenxing Shen

    Xi'an Jiaotong University, China

    7 publications · 272 citations

    7

    h-index

  4. GZ
    Gan Zhang

    Guangzhou Institute of Geochemistry, China

    5 publications · 142 citations

    5

    h-index

  5. MF
    Miao Feng

    Chinese Academy of Sciences, China

    5 publications · 681 citations

    5

    h-index

1–5 of 1.9K

Venues

  1. Atmospheric Environment

    49 publications · 3.6K citations

    33

    h-index

  2. The Science of The Total Environment

    43 publications · 2.5K citations

    30

    h-index

  3. Environmental Pollution

    36 publications · 2.9K citations

    28

    h-index

  4. Atmospheric Research

    21 publications · 1.6K citations

    19

    h-index

  5. Atmospheric chemistry and physics

    17 publications · 1.5K citations

    16

    h-index

1–5