Application-based Classification

Application-Based Classification is a classification scheme within pesticide science that categorizes pesticides according to the specific agricultural, public health, or environmental contexts in which they are applied, distinguishing it from chemical or toxicological classification systems by emphasizing the practical domain of use.

31

Publications

2.1K

Citations

130

Authors

58

Institutions

Publications per year

2017–2026

8

Authors

130

  1. TJ
    Tao Jin

    Northeastern University, United States

    2 publications · 217 citations

    2

    h-index

  2. ZA
    Zafar Ayyub Qazi

    Stony Brook University, United States

    2 publications · 217 citations

    2

    h-index

  3. GN
    Guevara Noubir

    Northeastern University, United States

    2 publications · 217 citations

    2

    h-index

  4. JL
    Jeongkeun Lee

    Hewlett-Packard (United States), United States

    2 publications · 217 citations

    2

    h-index

  5. AW
    Andrew W. Moore

    University of Cambridge, United Kingdom

    2 publications · 213 citations

    2

    h-index

1–5 of 130

Venues

  1. IEEE Communications Surveys & Tutorials

    ComST · 2 publications · 643 citations

    2

    h-index

  2. Journal of Network and Computer Applications

    JNCA · 1 publications · 77 citations

    1

    h-index

  3. Environment International

    1 publications · 30 citations

    1

    h-index

  4. IEEE Access

    1 publications · 116 citations

    1

    h-index

  5. 1

    h-index

1–5