Random Field Uncertainty Quantification

Random Field Uncertainty Quantification is a formal methodology within stochastic modeling that characterizes and propagates uncertainty in spatially or temporally correlated random fields by quantifying probabilistic variability and statistical dependencies across their domains.

34

Publications

1.2K

Citations

106

Authors

52

Institutions

Publications per year

2017–2026

16

Authors

106

  1. CS
    Christian Soize

    Laboratoire Modélisation et Simulation Multi-Echelle, France

    3 publications · 60 citations

    3

    h-index

  2. WG
    Wenping Gong

    China University of Geosciences, China

    2 publications · 262 citations

    2

    h-index

  3. CZ
    Chao Zhao

    China University of Geosciences, China

    2 publications · 262 citations

    2

    h-index

  4. AF
    Amélie Fau

    Centre National de la Recherche Scientifique, France

    2 publications · 41 citations

    2

    h-index

  5. HT
    Huiming Tang

    China University of Geosciences, China

    2 publications · 262 citations

    2

    h-index

1–5 of 106

Venues

  1. Engineering Geology

    3 publications · 176 citations

    3

    h-index

  2. 3

    h-index

  3. Journal of Mechanical Design

    2 publications · 103 citations

    2

    h-index

  4. Journal of Geophysical Research Solid Earth

    1 publications · 28 citations

    1

    h-index

  5. Formal Methods

    Conference · 1 publications · 15 citations

    1

    h-index

1–5