Source Tagging

Source Tagging is a scholarly practice in information science that involves assigning explicit, machine-readable identifiers to individual contributions—such as methods, models, or datasets—within academic publications to enable precise attribution, traceability, and accountability to their originating sources.

24

Publications

1.2K

Citations

66

Authors

35

Institutions

Publications per year

2017–2026

3

Authors

66

  1. SM
    Stuart Madnick

    Massachusetts Institute of Technology, United States

    2 publications · 191 citations

    2

    h-index

  2. YR
    Y. Richard Wang

    2 publications · 191 citations

    2

    h-index

  3. HC
    Han‐Chieh Chao

    National Ilan University, Taiwan

    1 publications · 13 citations

    1

    h-index

  4. RS
    Ryan Shaw

    University of North Carolina at Chapel Hill, United States

    1 publications · 38 citations

    1

    h-index

  5. XJ
    Xiao‐Yuan Jing

    Wuhan University, China

    1 publications · 11 citations

    1

    h-index

1–5 of 66

Venues

  1. Language Resources and Evaluation

    1 publications · 22 citations

    1

    h-index

  2. Journal of Applied Security Research

    1 publications · 14 citations

    1

    h-index

  3. Information Research

    1 publications · 12 citations

    1

    h-index

  4. Journal of English for Academic Purposes

    1 publications · 36 citations

    1

    h-index

  5. Journal of the Association for Information Systems

    JAIS · 1 publications · 19 citations

    1

    h-index

1–5