Random Field Surrogates

Random Field Surrogates is a computational method in random field modeling that generates synthetic realizations preserving the statistical properties of an observed field while randomizing specific structural features to serve as null models for hypothesis testing.

21

Publications

632

Citations

77

Authors

55

Institutions

Publications per year

2017–2026

14

Authors

77

  1. YW
    Yu Wang

    City University of Hong Kong, Hong Kong SAR China

    2 publications · 82 citations

    2

    h-index

  2. SD
    Sylvain Dubreuil

    Office National d'Études et de Recherches Aérospatiales, France

    1 publications · 13 citations

    1

    h-index

  3. LN
    Louis Ngai Yuen Wong

    University of Hong Kong, Hong Kong SAR China

    1 publications · 21 citations

    1

    h-index

  4. HZ
    Haifeng Zou

    Jilin University, China

    1 publications · 19 citations

    1

    h-index

  5. CL
    Christian Lantuéjoul

    École Nationale Supérieure des Mines de Paris, France

    1 publications · 42 citations

    1

    h-index

1–5 of 77

Venues

  1. 2

    h-index

  2. Computers and Geotechnics

    2 publications · 82 citations

    2

    h-index

  3. 2

    h-index

  4. Mechanical Systems and Signal Processing

    MSSP · 1 publications · 22 citations

    1

    h-index

  5. Journal of Geophysical Research Solid Earth

    1 publications · 25 citations

    1

    h-index

1–5