Artificial Intelligence Writing Detection

Artificial Intelligence Writing Detection is a computational method designed to identify text generated by artificial intelligence systems, distinguished from other plagiarism or authorship detection techniques by its specific focus on algorithmically produced content rather than human-authored or copied material.

17

Publications

1K

Citations

44

Authors

21

Institutions

Publications per year

2017–2026

17

Authors

44

  1. TW
    Tal Waltzer

    University of California San Diego, United States

    1 publications · 41 citations

    1

    h-index

  2. WH
    William H. Walters

    Manhattan University, United States

    1 publications · 95 citations

    1

    h-index

  3. NH
    Nurul Huda Hamzah

    University of Malaya, Malaysia

    1 publications · 31 citations

    1

    h-index

  4. AP
    Austin Pack

    Brigham Young University–Hawaii, United States

    1 publications · 58 citations

    1

    h-index

  5. YM
    Yongqiang Ma

    Pingjin Hospital, China

    1 publications · 76 citations

    1

    h-index

1–5 of 44

Venues

  1. 2

    h-index

  2. Open Information Science

    1 publications · 95 citations

    1

    h-index

  3. AI & Society

    1 publications · 185 citations

    1

    h-index

  4. European Journal of Engineering Education

    EJEE · 1 publications · 56 citations

    1

    h-index

  5. Journal of Systems and Software

    JSS · 1 publications · 36 citations

    1

    h-index

1–5