High-dimensional Vector Analysis

High-Dimensional Vector Analysis is a methodological framework within vector modeling that specifically addresses the computational and geometric challenges arising in vector spaces of significantly elevated dimensionality, distinguishing itself by focusing on the intrinsic properties and statistical behaviors unique to high-dimensional data structures.

26

Publications

2.4K

Citations

79

Authors

44

Institutions

Publications per year

2017–2026

3

Authors

79

  1. DL
    Dandan Li

    Beijing University of Posts and Telecommunications, China

    1 publications · 19 citations

    1

    h-index

  2. YL
    Yuan Liao

    Rutgers, The State University of New Jersey, United States

    1 publications · 387 citations

    1

    h-index

  3. ZC
    Z.J. Cendes

    Carnegie Mellon University, United States

    1 publications · 137 citations

    1

    h-index

  4. GA
    Georgia Athanasiadou

    University of Peloponnese, Greece

    1 publications · 30 citations

    1

    h-index

  5. ST
    S. T. Aw

    Royal Prince Alfred Hospital, Australia

    1 publications · 202 citations

    1

    h-index

1–5 of 79

Venues

  1. Journal of Cranio-Maxillofacial Surgery

    1 publications · 16 citations

    1

    h-index

  2. Journal of Neurophysiology

    JN · 1 publications · 202 citations

    1

    h-index

  3. Journal of Neurology Neurosurgery & Psychiatry

    1 publications · 105 citations

    1

    h-index

  4. Econometrica

    1 publications · 387 citations

    1

    h-index

  5. Electric Power Components and Systems

    1 publications · 20 citations

    1

    h-index

1–5