Surface Feature Statistics

Surface Feature Statistics is a quantitative analytical framework that characterizes the distribution, geometry, and spatial arrangement of morphological attributes on a surface to systematically describe its topographical heterogeneity.

47

Publications

3.3K

Citations

126

Authors

59

Institutions

Publications per year

2017–2026

10

Authors

126

  1. ZY
    Zhiyong Yang

    University of Chinese Academy of Sciences, China

    2 publications · 73 citations

    2

    h-index

  2. DP
    Dale Purves

    Duke University, United States

    2 publications · 73 citations

    2

    h-index

  3. PJ
    P. J. Sullivan

    Western University, Canada

    2 publications · 231 citations

    2

    h-index

  4. WD
    W.P. Dong

    University of Birmingham, United Kingdom

    2 publications · 231 citations

    2

    h-index

  5. KS
    K.J. Stout

    University of Birmingham, United Kingdom

    2 publications · 231 citations

    2

    h-index

1–5 of 126

Venues

  1. Wear

    3 publications · 249 citations

    3

    h-index

  2. NeuroImage

    2 publications · 329 citations

    2

    h-index

  3. IEEE Transactions on Visualization and Computer Graphics

    TVCG · 2 publications · 102 citations

    2

    h-index

  4. Journal of Geophysical Research Atmospheres

    JGR · 2 publications · 79 citations

    2

    h-index

  5. 2

    h-index

1–5