Artificial Intelligence For Formulation

Artificial Intelligence for Formulation is a computational methodology that applies artificial intelligence techniques to the design, optimization, and analysis of drug formulations by integrating physicochemical, biological, and engineering knowledge within the domain of Drug Formulation Informatics.

119

Publications

4.9K

Citations

463

Authors

176

Institutions

Publications per year

2017–2026

65

Authors

463

  1. RR
    R.C. Rowe

    AstraZeneca (United Kingdom), United Kingdom

    7 publications · 291 citations

    7

    h-index

  2. PB
    Panagiotis Barmpalexis

    Aristotle University of Thessaloniki, Greece

    5 publications · 286 citations

    5

    h-index

  3. KT
    Kozo Takayama

    Hoshi University, Japan

    5 publications · 243 citations

    5

    h-index

  4. DO
    Defang Ouyang

    University of Macau, Macao SAR China

    4 publications · 200 citations

    4

    h-index

  5. PB
    Pauric Bannigan

    University of Toronto, Canada

    3 publications · 261 citations

    3

    h-index

1–5 of 463

Venues

  1. AAPS PharmSciTech

    8 publications · 272 citations

    7

    h-index

  2. Journal of Pharmaceutical Sciences

    6 publications · 238 citations

    6

    h-index

  3. European Journal of Pharmaceutics and Biopharmaceutics

    EJPB · 6 publications · 449 citations

    6

    h-index

  4. International Journal of Pharmaceutics

    5 publications · 236 citations

    5

    h-index

  5. European Journal of Pharmaceutical Sciences

    4 publications · 220 citations

    4

    h-index

1–5