Cross-platform Topic Modeling

Cross-Platform Topic Modeling is a computational text analysis method that identifies and aligns latent thematic structures across diverse digital platforms by integrating heterogeneous textual data sources into a unified topic modeling framework.

13

Publications

559

Citations

37

Authors

20

Institutions

Publications per year

2017–2026

7

Authors

37

  1. CX
    Changsheng Xu

    Chinese Academy of Sciences, China

    4 publications · 170 citations

    4

    h-index

  2. BB
    Bing‐Kun Bao

    Nanjing University of Posts and Telecommunications, China

    2 publications · 107 citations

    2

    h-index

  3. WM
    Weiqing Min

    Chinese Academy of Sciences, China

    2 publications · 107 citations

    2

    h-index

  4. MS
    M. Shamim Hossain

    King Saud University, Saudi Arabia

    2 publications · 85 citations

    2

    h-index

  5. JH
    Jang Hyun Kim

    Sungkyunkwan University, South Korea

    2 publications · 52 citations

    2

    h-index

1–5 of 37

Venues

  1. IEEE Transactions on Multimedia

    2 publications · 85 citations

    2

    h-index

  2. IEEE Transactions on Software Engineering

    TSE · 1 publications · 45 citations

    1

    h-index

  3. IEEE Access

    1 publications · 18 citations

    1

    h-index

  4. Journal of Medical Internet Research

    1 publications · 98 citations

    1

    h-index

  5. Knowledge-Based Systems

    1 publications · 13 citations

    1

    h-index

1–5