Node Importance Encoding

Node Importance Encoding is a computational method that belongs to the class of node encoding techniques, distinguished by its purpose of hierarchically representing nodes in a network based on their relative significance or influence within the topology or function of the system.

36

Publications

1.7K

Citations

134

Authors

60

Institutions

Publications per year

2017–2026

26

Authors

134

  1. AB
    Asgarali Bouyer

    Azarbaijan Shahid Madani University, Iran

    2 publications · 126 citations

    2

    h-index

  2. WL
    Wanbo Luo

    Leshan Normal University, China

    1 publications · 12 citations

    1

    h-index

  3. BD
    Bowen Du

    Beihang University, China

    1 publications · 21 citations

    1

    h-index

  4. PZ
    Peiying Zhang

    China University of Petroleum, East China, China

    1 publications · 94 citations

    1

    h-index

  5. MA
    Mason A. Porter

    University of Oxford, United Kingdom

    1 publications · 13 citations

    1

    h-index

1–5 of 134

Venues

  1. Reliability Engineering & System Safety

    3 publications · 195 citations

    3

    h-index

  2. Neurocomputing

    2 publications · 126 citations

    2

    h-index

  3. Applied Network Science

    ANS · 2 publications · 39 citations

    2

    h-index

  4. Expert Systems with Applications

    2 publications · 93 citations

    2

    h-index

  5. IEEE Access

    2 publications · 115 citations

    2

    h-index

1–5