Dynamic Bioprocess Modeling

Dynamic Bioprocess Modeling is a systematic computational or mathematical framework that describes the time-dependent behavior of bioprocess variables and their interactions within biological systems, distinguished from steady-state approaches by its explicit representation of transient dynamics and rate changes over time.

116

Publications

5.2K

Citations

339

Authors

165

Institutions

Publications per year

2017–2026

30

Authors

339

  1. JV
    Jan Van Impe

    KU Leuven, Belgium

    6 publications · 256 citations

    6

    h-index

  2. DZ
    Dongda Zhang

    University of Manchester, United Kingdom

    5 publications · 206 citations

    5

    h-index

  3. KJ
    Keju Jing

    Xiamen University, China

    5 publications · 206 citations

    5

    h-index

  4. EA
    Ehecatl Antonio del Rio‐Chanona

    Imperial College London, United Kingdom

    5 publications · 206 citations

    5

    h-index

  5. CH
    Christoph Herwig

    TU Wien, Austria

    4 publications · 231 citations

    4

    h-index

1–5 of 339

Venues

  1. Computers & Chemical Engineering

    8 publications · 343 citations

    8

    h-index

  2. Biotechnology and Bioengineering

    8 publications · 485 citations

    8

    h-index

  3. Bioprocess and Biosystems Engineering

    5 publications · 224 citations

    5

    h-index

  4. Industrial & Engineering Chemistry Research

    5 publications · 174 citations

    5

    h-index

  5. Biotechnology Progress

    4 publications · 163 citations

    4

    h-index

1–5