Computational Solubility Modeling

Computational Solubility Modeling is a computational methodology that predicts the solubility of chemical compounds in various solvents by applying theoretical models, algorithms, and molecular descriptors to quantify structure-solubility relationships.

1K

Publications

59.3K

Citations

2.8K

Authors

900

Institutions

Publications per year

2017–2026

461

Authors

2.8K

  1. WE
    William E. Acree

    University of North Texas, United States

    79 publications · 3.8K citations

    34

    h-index

  2. AJ
    Abolghasem Jouyban

    Tabriz University of Medical Sciences, Iran

    54 publications · 2.5K citations

    24

    h-index

  3. MH
    Michael H. Abraham

    University College London, United Kingdom

    26 publications · 1.4K citations

    22

    h-index

  4. AH
    Abdolhossein Hemmati‐Sarapardeh

    Shahid Bahonar University of Kerman, Iran

    17 publications · 522 citations

    16

    h-index

  5. HZ
    Hongkun Zhao

    Yangzhou University, China

    15 publications · 449 citations

    14

    h-index

1–5 of 2.8K

Venues

  1. Fluid Phase Equilibria

    89 publications · 3.5K citations

    34

    h-index

  2. Journal of Molecular Liquids

    108 publications · 3.8K citations

    33

    h-index

  3. The Journal of Chemical Thermodynamics

    40 publications · 1.3K citations

    23

    h-index

  4. Industrial & Engineering Chemistry Research

    32 publications · 1.6K citations

    23

    h-index

  5. Journal of Chemical & Engineering Data

    40 publications · 1.1K citations

    22

    h-index

1–5