Cross-database Mapping

Cross-Database Mapping is a formal methodological framework that systematically establishes correspondences between entities in distinct food composition databases to enable interoperability and data integration across heterogeneous nutritional data sources.

59

Publications

3K

Citations

319

Authors

166

Institutions

Publications per year

2017–2026

28

Authors

319

  1. TM
    Timothy M. Smeeding

    University of Wisconsin–Madison, United States

    3 publications · 93 citations

    3

    h-index

  2. AB
    Andrea Brandolini

    Bank of Italy, Italy

    3 publications · 93 citations

    3

    h-index

  3. ES
    Eva Sierminska

    Luxembourg Institute of Socio-Economic Research, Luxembourg

    3 publications · 93 citations

    3

    h-index

  4. ZZ
    Zecheng Zhan

    Beijing University of Posts and Telecommunications, China

    2 publications · 404 citations

    2

    h-index

  5. JL
    Jian–Guang Lou

    Microsoft Research Asia (China), China

    2 publications · 404 citations

    2

    h-index

1–5 of 319

Venues

  1. Nucleic Acids Research

    3 publications · 178 citations

    3

    h-index

  2. SSRN Electronic Journal

    Repository · 3 publications · 93 citations

    3

    h-index

  3. 2

    h-index

  4. Sensors

    2 publications · 38 citations

    2

    h-index

  5. The International Journal of Life Cycle Assessment

    LCA · 2 publications · 101 citations

    2

    h-index

1–5