Chemostat Modeling

Chemostat Modeling is a mathematical framework used to describe and predict the dynamics of microbial growth and substrate utilization in a continuous fermentation system under steady-state conditions, distinguished by its reliance on the balance between nutrient inflow and cellular dilution.

415

Publications

20K

Citations

862

Authors

403

Institutions

Publications per year

2017–2026

79

Authors

862

  1. GS
    Gail S. K. Wolkowicz

    McMaster University, Canada

    14 publications · 931 citations

    13

    h-index

  2. LC
    Lansun Chen

    Dalian University of Technology, China

    12 publications · 379 citations

    12

    h-index

  3. SY
    Sanling Yuan

    University of Shanghai for Science and Technology, China

    10 publications · 400 citations

    10

    h-index

  4. JH
    Jérôme Harmand

    Laboratoire de Biotechnologie de l'Environnement, France

    9 publications · 283 citations

    9

    h-index

  5. AR
    Alain Rapaport

    Mathématiques, Informatique et Statistique pour l'Environnement et l'Agronomie, France

    9 publications · 220 citations

    9

    h-index

1–5 of 862

Venues

  1. Biotechnology and Bioengineering

    45 publications · 2.3K citations

    28

    h-index

  2. SIAM Journal on Applied Mathematics

    20 publications · 2.2K citations

    19

    h-index

  3. Journal of Mathematical Biology

    13 publications · 650 citations

    12

    h-index

  4. Nonlinear Analysis Real World Applications

    14 publications · 342 citations

    12

    h-index

  5. Chaos Solitons & Fractals

    12 publications · 219 citations

    11

    h-index

1–5