Risk Propagation

Risk Propagation is a computational framework within uncertainty analysis that characterizes how uncertainties in input variables or model parameters differentially influence and transmit through a system to affect the uncertainty in output predictions.

128

Publications

5.7K

Citations

417

Authors

217

Institutions

Publications per year

2017–2026

91

Authors

417

  1. NY
    Naiding Yang

    Northwestern Polytechnical University, China

    5 publications · 143 citations

    5

    h-index

  2. YZ
    Yanlu Zhang

    Northwestern Polytechnical University, China

    4 publications · 128 citations

    4

    h-index

  3. HL
    Hui Liu

    Northwestern Polytechnical University, China

    3 publications · 102 citations

    3

    h-index

  4. EZ
    Enrico Zio

    Politecnico di Milano, Italy

    3 publications · 144 citations

    3

    h-index

  5. ZH
    Zhigen Hu

    Wuhan University, China

    3 publications · 136 citations

    3

    h-index

1–5 of 417

Venues

  1. Reliability Engineering & System Safety

    8 publications · 385 citations

    7

    h-index

  2. 6

    h-index

  3. Risk Analysis

    3 publications · 67 citations

    3

    h-index

  4. IEEE Transactions on Industrial Informatics

    3 publications · 237 citations

    3

    h-index

  5. Mathematical Problems in Engineering

    MPE · 3 publications · 48 citations

    3

    h-index

1–5