Machine-generated Text Detection

Machine-Generated Text Detection is an academic research contribution that, within the domain of academic integrity detection, constitutes a methodological framework designed to identify textual content produced by artificial intelligence systems as distinct from human-authored text.

200

Publications

13.2K

Citations

742

Authors

309

Institutions

Publications per year

2017–2026

173

Authors

742

  1. JR
    Jasper Roe

    British University Vietnam, Vietnam

    4 publications · 335 citations

    4

    h-index

  2. MP
    Mike Perkins

    British University Vietnam, Vietnam

    4 publications · 335 citations

    4

    h-index

  3. JS
    Jinyan Su

    Microsoft (United States), United States

    4 publications · 107 citations

    4

    h-index

  4. AU
    Adaku Uchendu

    Pennsylvania State University, United States

    3 publications · 164 citations

    3

    h-index

  5. DL
    Dongwon Lee

    Pennsylvania State University, United States

    3 publications · 164 citations

    3

    h-index

1–5 of 742

Venues

  1. arXiv (Cornell University)

    Repository · 38 publications · 1.6K citations

    23

    h-index

  2. 5

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  3. IEEE Access

    5 publications · 381 citations

    5

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 259 citations

    4

    h-index

  5. Applied Sciences

    4 publications · 141 citations

    4

    h-index

1–5