Streaming Pattern Analysis

Streaming Pattern Analysis is a quantitative methodological framework that characterizes the spatiotemporal dynamics of cytoplasmic movement by identifying, classifying, and modeling the directional flow regimes and velocity distributions of organelles within living cells.

11

Publications

631

Citations

35

Authors

26

Institutions

Publications per year

2017–2026

1

Authors

35

  1. BL
    Byoung-Gook Loh

    Daegu Catholic University, South Korea

    2 publications · 174 citations

    2

    h-index

  2. JL
    Junjun Lei

    Guangdong University of Technology, China

    1 publications · 122 citations

    1

    h-index

  3. CK
    Clement Kleinstreuer

    North Carolina State University, United States

    1 publications · 153 citations

    1

    h-index

  4. JV
    Jean‐Christophe Valière

    Université de Poitiers, France

    1 publications · 34 citations

    1

    h-index

  5. SO
    Sergio O. Martínez‐Chapa

    Tecnológico de Monterrey, Mexico

    1 publications · 21 citations

    1

    h-index

1–5 of 35

Venues

  1. The Journal of the Acoustical Society of America

    JASA · 5 publications · 313 citations

    5

    h-index

  2. Biophysical Journal

    1 publications · 65 citations

    1

    h-index

  3. Coastal Engineering Journal

    1 publications · 42 citations

    1

    h-index

  4. Applied Physics Letters

    1 publications · 21 citations

    1

    h-index

  5. Journal of Physics A Mathematical and General

    1 publications · 47 citations

    1

    h-index

1–5