Separation Process Modeling

Separation Process Modeling is the systematic development of mathematical representations that describe the physical and thermodynamic behavior of separation operations in order to predict performance, optimize design, and facilitate scale-up within chemical process engineering.

1.1K

Publications

40.3K

Citations

3.2K

Authors

902

Institutions

Publications per year

2017–2026

321

Authors

3.2K

  1. RT
    Ross Taylor

    Clarkson University, United States

    12 publications · 775 citations

    12

    h-index

  2. YW
    Yinglong Wang

    Qingdao University of Science and Technology, China

    13 publications · 350 citations

    12

    h-index

  3. RG
    Rafiqul Gani

    Technical University of Denmark, Denmark

    12 publications · 781 citations

    12

    h-index

  4. AG
    Andrzej Górak

    TU Dortmund University, Germany

    10 publications · 572 citations

    10

    h-index

  5. ZZ
    Zhaoyou Zhu

    Qingdao University of Science and Technology, China

    9 publications · 248 citations

    9

    h-index

1–5 of 3.2K

Venues

  1. AIChE Journal

    82 publications · 4.1K citations

    37

    h-index

  2. Industrial & Engineering Chemistry Research

    95 publications · 3.4K citations

    32

    h-index

  3. Computers & Chemical Engineering

    62 publications · 2.3K citations

    30

    h-index

  4. Separation and Purification Technology

    40 publications · 1.5K citations

    24

    h-index

  5. Chemical Engineering Science

    34 publications · 1.3K citations

    21

    h-index

1–5