Weighted Network Integration

Weighted Network Integration is a network-based integration method that assigns differential weights to nodes or edges to reflect their relative importance or strength of association in the integration process.

18

Publications

1.2K

Citations

93

Authors

42

Institutions

Publications per year

2017–2026

11

Authors

93

  1. JP
    Jiajie Peng

    Northwestern Polytechnical University, China

    2 publications · 201 citations

    2

    h-index

  2. LC
    Liang Cheng

    Harbin Medical University, China

    2 publications · 201 citations

    2

    h-index

  3. YW
    Yadong Wang

    Harbin Institute of Technology, China

    2 publications · 201 citations

    2

    h-index

  4. ZX
    Zimin Xu

    Nankai University, China

    1 publications · 12 citations

    1

    h-index

  5. AB
    Anatolia Batruch

    University of Lausanne, Switzerland

    1 publications · 23 citations

    1

    h-index

1–5 of 93

Venues

  1. arXiv (Cornell University)

    Repository · 1 publications · 10 citations

    1

    h-index

  2. Artificial Intelligence

    1 publications · 153 citations

    1

    h-index

  3. International Journal of Molecular Sciences

    IJMS · 1 publications · 24 citations

    1

    h-index

  4. 1

    h-index

  5. Open Economies Review

    1 publications · 37 citations

    1

    h-index

1–5