Gradient Programming

Gradient Programming is a methodological framework in chromatography that systematically modulates the composition of the mobile phase over time to optimize the separation of analytes by selectively altering their retention behaviors.

207

Publications

16K

Citations

508

Authors

247

Institutions

Publications per year

2017–2026

55

Authors

508

  1. AN
    Angelia Nedić

    University of Illinois Urbana-Champaign, United States

    3 publications · 478 citations

    3

    h-index

  2. TY
    Tianbao Yang

    University of Iowa, United States

    3 publications · 144 citations

    3

    h-index

  3. WZ
    Wenjun Zhang

    Shanghai Jiao Tong University, China

    2 publications · 123 citations

    2

    h-index

  4. AR
    Anders Rantzer

    Lund University, Sweden

    2 publications · 298 citations

    2

    h-index

  5. JY
    Jinfeng Yi

    Jingdong (China), China

    2 publications · 88 citations

    2

    h-index

1–5 of 508

Venues

  1. arXiv (Cornell University)

    Repository · 13 publications · 538 citations

    13

    h-index

  2. Journal of Chromatography A

    10 publications · 239 citations

    9

    h-index

  3. IEEE Transactions on Automatic Control

    5 publications · 518 citations

    5

    h-index

  4. International Journal of Control

    4 publications · 107 citations

    4

    h-index

  5. Mathematical Programming

    3 publications · 2.2K citations

    3

    h-index

1–5