Composition Change Detection

Composition Change Detection is a scholarly contribution within the field of composition assessment that specifically identifies and analyzes alterations in the structural, rhetorical, or linguistic elements of written texts across versions or over time.

38

Publications

2.6K

Citations

155

Authors

58

Institutions

Publications per year

2017–2026

9

Authors

155

  1. MS
    Michael S. Hamada

    Los Alamos National Laboratory, United States

    1 publications · 12 citations

    1

    h-index

  2. JD
    James D. Lewis

    University of Pennsylvania, United States

    1 publications · 1.3K citations

    1

    h-index

  3. DL
    Detang Lu

    University of Science and Technology of China, China

    1 publications · 13 citations

    1

    h-index

  4. TL
    TianQuan Li

    Wenzhou University, China

    1 publications · 16 citations

    1

    h-index

  5. WM
    W. M. Stobbs

    University of Cambridge, United Kingdom

    1 publications · 66 citations

    1

    h-index

1–5 of 155

Venues

  1. British Journal of Educational Psychology

    2 publications · 30 citations

    2

    h-index

  2. Geoderma

    1 publications · 19 citations

    1

    h-index

  3. Journal of Petroleum Science and Engineering

    1 publications · 13 citations

    1

    h-index

  4. Applied Physics Letters

    1 publications · 177 citations

    1

    h-index

  5. The Science of The Total Environment

    1 publications · 21 citations

    1

    h-index

1–5