Network Hub Analysis

Network Hub Analysis is a methodological framework within brain network analysis that identifies and characterizes highly interconnected brain regions, distinguished by their centrality and influence in mediating information flow across distributed neural systems.

98

Publications

7.6K

Citations

937

Authors

361

Institutions

Publications per year

2017–2026

53

Authors

937

  1. YH
    Yong He

    Beijing Normal University, China

    4 publications · 152 citations

    4

    h-index

  2. MX
    Mingrui Xia

    Beijing Normal University, China

    2 publications · 82 citations

    2

    h-index

  3. SV
    Sven Vanneste

    The University of Texas at Dallas, United States

    2 publications · 58 citations

    2

    h-index

  4. MZ
    Mei Zhang

    Jilin University, China

    2 publications · 54 citations

    2

    h-index

  5. HG
    Huijun Gao

    Harbin Institute of Technology, China

    2 publications · 98 citations

    2

    h-index

1–5 of 937

Venues

  1. Scientific Reports

    8 publications · 497 citations

    8

    h-index

  2. Human Brain Mapping

    7 publications · 1K citations

    7

    h-index

  3. PLoS ONE

    5 publications · 595 citations

    5

    h-index

  4. Frontiers in Neurology

    4 publications · 96 citations

    4

    h-index

  5. Cerebral Cortex

    4 publications · 363 citations

    4

    h-index

1–5