Batch Modeling

Batch Modeling is a computational framework within process systems engineering that formally represents the sequencing, timing, and material transformations of discrete production units in batch processes, distinguished from continuous or semi-continuous process models by its focus on finite, time-varying operations with distinct start and end conditions.

341

Publications

14K

Citations

710

Authors

275

Institutions

Publications per year

2017–2026

49

Authors

710

  1. FG
    Furong Gao

    Hong Kong University of Science and Technology, Hong Kong SAR China

    24 publications · 1.1K citations

    17

    h-index

  2. PM
    Prashant Mhaskar

    McMaster University, Canada

    10 publications · 310 citations

    10

    h-index

  3. CZ
    Chunhui Zhao

    State Key Laboratory of Industrial Control Technology

    9 publications · 438 citations

    9

    h-index

  4. JZ
    Jie Zhang

    Newcastle University, United Kingdom

    9 publications · 459 citations

    9

    h-index

  5. YY
    Yuan Yao

    National Tsing Hua University, Taiwan

    7 publications · 441 citations

    7

    h-index

1–5 of 710

Venues

  1. Computers & Chemical Engineering

    80 publications · 4.2K citations

    33

    h-index

  2. Journal of Process Control

    26 publications · 1.7K citations

    21

    h-index

  3. Industrial & Engineering Chemistry Research

    24 publications · 859 citations

    18

    h-index

  4. Chemical Engineering Science

    26 publications · 1K citations

    17

    h-index

  5. Chemometrics and Intelligent Laboratory Systems

    14 publications · 880 citations

    13

    h-index

1–5