Grid Compression

Grid Compression is a grid generation technique that reduces the density of grid points in specific regions of a computational domain by applying coordinate transformations or clustering functions to enhance resolution efficiency while maintaining solution accuracy.

32

Publications

1.4K

Citations

76

Authors

44

Institutions

Publications per year

2017–2026

7

Authors

76

  1. WM
    Wei Ma

    Shanghai Jiao Tong University, China

    3 publications · 140 citations

    3

    h-index

  2. KS
    K. S. Pennington

    IBM Research - Thomas J. Watson Research Center, United States

    2 publications · 168 citations

    2

    h-index

  3. PW
    Peter Will

    University of Southern California, United States

    2 publications · 168 citations

    2

    h-index

  4. OS
    Oh-Young Song

    Sejong University, South Korea

    2 publications · 72 citations

    2

    h-index

  5. DK
    Doyub Kim

    Seoul National University, South Korea

    2 publications · 72 citations

    2

    h-index

1–5 of 76

Venues

  1. IEEE Transactions on Smart Grid

    2 publications · 186 citations

    2

    h-index

  2. Journal of Sound and Vibration

    JSV · 2 publications · 89 citations

    2

    h-index

  3. Geophysics

    2 publications · 33 citations

    2

    h-index

  4. Networks

    1 publications · 10 citations

    1

    h-index

  5. Communications on Pure and Applied Mathematics

    1 publications · 304 citations

    1

    h-index

1–5