Survival Rate Optimization

Survival Rate Optimization is a methodological framework within aquaculture science that systematically enhances the proportion of viable larvae surviving through critical developmental stages by identifying and mitigating mortality factors in controlled nursery environments.

110

Publications

4.1K

Citations

527

Authors

204

Institutions

Publications per year

2017–2026

47

Authors

527

  1. CL
    Chi Lin

    Dalian University of Technology, China

    3 publications · 202 citations

    3

    h-index

  2. KJ
    Kai Jiang

    National Engineering Research Center for Information Technology in Agriculture, China

    2 publications · 34 citations

    2

    h-index

  3. DK
    Dariusz Kulus

    Bydgoszcz University of Science and Technology, Poland

    2 publications · 28 citations

    2

    h-index

  4. JD
    Jing Deng

    University of North Carolina at Greensboro, United States

    2 publications · 147 citations

    2

    h-index

  5. GW
    Guowei Wu

    Dalian University of Technology, China

    2 publications · 147 citations

    2

    h-index

1–5 of 527

Venues

  1. Aquaculture

    5 publications · 532 citations

    5

    h-index

  2. PubMed

    Repository · 3 publications · 85 citations

    3

    h-index

  3. Journal of Assisted Reproduction and Genetics

    JARG · 2 publications · 48 citations

    2

    h-index

  4. IEEE Access

    2 publications · 34 citations

    2

    h-index

  5. AFRICAN JOURNAL OF BIOTECHNOLOGY

    2 publications · 41 citations

    2

    h-index

1–5