Recovery Process Optimization

Recovery Process Optimization is a systematic analytical framework within recovery engineering that enhances the efficiency, yield, and purity of recovered substances by identifying and implementing optimal process parameters and control strategies during anesthetic or bioproduct recovery.

84

Publications

3.1K

Citations

329

Authors

132

Institutions

Publications per year

2017–2026

37

Authors

329

  1. SC
    Seong Chan Lee

    Pukyong National University, South Korea

    2 publications · 40 citations

    2

    h-index

  2. AV
    Ali Vatani

    University of Tehran, Iran

    2 publications · 70 citations

    2

    h-index

  3. TM
    Tamer Moussa

    King Fahd University of Petroleum and Minerals, Saudi Arabia

    2 publications · 28 citations

    2

    h-index

  4. MM
    Mehdi Mehrpooya

    University of Tehran, Iran

    2 publications · 70 citations

    2

    h-index

  5. JC
    James C. Hower

    University of Kentucky, United States

    1 publications · 21 citations

    1

    h-index

1–5 of 329

Venues

  1. Separation and Purification Technology

    6 publications · 319 citations

    6

    h-index

  2. Industrial & Engineering Chemistry Research

    5 publications · 105 citations

    5

    h-index

  3. Journal of Cleaner Production

    3 publications · 50 citations

    3

    h-index

  4. JOM

    3 publications · 104 citations

    3

    h-index

  5. Computers & Chemical Engineering

    2 publications · 40 citations

    2

    h-index

1–5