Flow Network Representation

Flow Network Representation is a formal modeling construct that specifies the structure and directional relationships of flow processes within a system by mapping entities as nodes and flow interactions as directed edges, distinguished by its focus on quantifying and analyzing the pathways, capacities, and conservation constraints governing the movement of resources, information, or materials through interconnected components.

33

Publications

1.6K

Citations

95

Authors

53

Institutions

Publications per year

2017–2026

14

Authors

95

  1. YS
    Yuanyuan Sun

    Sichuan Agricultural University, China

    1 publications · 13 citations

    1

    h-index

  2. CS
    Chen Shen

    Dalian University of Technology, China

    1 publications · 13 citations

    1

    h-index

  3. JK
    Jyrki Katajainen

    University of Copenhagen, Denmark

    1 publications · 52 citations

    1

    h-index

  4. SZ
    Song‐Chun Zhu

    University of California, Los Angeles, United States

    1 publications · 16 citations

    1

    h-index

  5. LY
    Liang Yang

    Dalian University of Technology, China

    1 publications · 13 citations

    1

    h-index

1–5 of 95

Venues

  1. Journal of the Construction Division

    1 publications · 361 citations

    1

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 1 publications · 16 citations

    1

    h-index

  3. Transportation Research Part B Methodological

    1 publications · 31 citations

    1

    h-index

  4. Nature Communications

    1 publications · 61 citations

    1

    h-index

  5. Computers & Industrial Engineering

    1 publications · 15 citations

    1

    h-index

1–5