Induction Optimization

Induction Optimization is a methodological framework within polyploid induction research that systematically refines experimental parameters and protocols to maximize the efficiency, consistency, and yield of polyploid cell or organism generation.

23

Publications

1.3K

Citations

100

Authors

37

Institutions

Publications per year

2017–2026

3

Authors

100

  1. SK
    Standish K. Allen

    William & Mary, United States

    2 publications · 101 citations

    2

    h-index

  2. JW
    Jing Wu

    Jiangnan University, China

    2 publications · 82 citations

    2

    h-index

  3. KY
    K.J. Yu

    1 publications · 10 citations

    1

    h-index

  4. CF
    C. F. Konzak

    Washington State University, United States

    1 publications · 100 citations

    1

    h-index

  5. FL
    Fh Li

    Institute of Physics, China

    1 publications · 10 citations

    1

    h-index

1–5 of 100

Venues

  1. Aquaculture

    5 publications · 212 citations

    5

    h-index

  2. Frontiers in Plant Science

    1 publications · 44 citations

    1

    h-index

  3. Heredity

    1 publications · 117 citations

    1

    h-index

  4. Bioprocess and Biosystems Engineering

    1 publications · 16 citations

    1

    h-index

  5. IEEE Transactions on Energy Conversion

    1 publications · 11 citations

    1

    h-index

1–5