Granger Causality Networks

Granger Causality Networks is a network-based framework that models directional predictive relationships among multivariate time series variables in a system, where edges represent statistically significant Granger causality influences between pairs of variables, thus capturing dynamic interdependencies relevant to systemic risk propagation.

168

Publications

12.8K

Citations

641

Authors

371

Institutions

Publications per year

2017–2026

98

Authors

641

  1. XG
    Xiangyun Gao

    China University of Geosciences (Beijing), China

    4 publications · 109 citations

    4

    h-index

  2. GD
    Gopikrishna Deshpande

    Auburn University, United States

    4 publications · 270 citations

    4

    h-index

  3. GX
    Guizhi Xu

    Hebei University of Technology, China

    3 publications · 71 citations

    3

    h-index

  4. LG
    Lei Guo

    Hebei University of Technology, China

    3 publications · 71 citations

    3

    h-index

  5. HY
    Hongli Yu

    Hebei University of Technology, China

    3 publications · 71 citations

    3

    h-index

1–5 of 641

Venues

  1. PLoS ONE

    13 publications · 417 citations

    12

    h-index

  2. NeuroImage

    7 publications · 811 citations

    7

    h-index

  3. 7

    h-index

  4. Journal of Neuroscience

    4 publications · 1.1K citations

    4

    h-index

  5. Scientific Reports

    4 publications · 154 citations

    4

    h-index

1–5