Formulation Knowledge Representation

Formulation Knowledge Representation is a formal systematic framework that structurally encodes and organizes domain-specific knowledge in drug formulation informatics, distinguishing itself by enabling computational access, inference, and reuse of formulation design principles, material properties, and process relationships through standardized symbolic or model-based conventions.

17

Publications

536

Citations

63

Authors

33

Institutions

Publications per year

2017–2026

4

Authors

63

  1. DJ
    Diane J. Burgess

    University of Connecticut, United States

    1 publications · 17 citations

    1

    h-index

  2. PM
    Pai-Chun Ma

    University of Hong Kong, Hong Kong SAR China

    1 publications · 15 citations

    1

    h-index

  3. JA
    Jethro Akroyd

    University of Cambridge, United Kingdom

    1 publications · 45 citations

    1

    h-index

  4. RA
    Roger Alan Pick

    University of Missouri–Kansas City, United States

    1 publications · 12 citations

    1

    h-index

  5. CE
    Cláudio E. M. Banzato

    Universidade Estadual de Campinas (UNICAMP), Brazil

    1 publications · 19 citations

    1

    h-index

1–5 of 63

Venues

  1. International Journal of Pharmaceutics

    3 publications · 134 citations

    3

    h-index

  2. Decision Support Systems

    1 publications · 25 citations

    1

    h-index

  3. INFORMS Journal on Applied Analytics

    1 publications · 24 citations

    1

    h-index

  4. Computers & Chemical Engineering

    1 publications · 33 citations

    1

    h-index

  5. European Journal of Pharmaceutics and Biopharmaceutics

    EJPB · 1 publications · 108 citations

    1

    h-index

1–5