Chemical Entity Recognition

Chemical Entity Recognition is a computational natural language processing task that identifies and classifies chemical substance mentions in scientific text according to standardized nomenclature, distinguishing it from broader named entity recognition by its exclusive focus on chemical compounds and their representations.

143

Publications

7.8K

Citations

525

Authors

219

Institutions

Publications per year

2017–2026

62

Variants

Chemical Named Entity RecognitionCner

Authors

525

  1. ZL
    Zhiyong Lu

    National Center for Biotechnology Information, United States

    8 publications · 1K citations

    8

    h-index

  2. SA
    Saber A. Akhondi

    Erasmus MC, Netherlands

    8 publications · 617 citations

    8

    h-index

  3. CS
    Christoph Steinbeck

    European Bioinformatics Institute, United Kingdom

    6 publications · 219 citations

    6

    h-index

  4. PM
    Peter Murray‐Rust

    University of Cambridge, United Kingdom

    6 publications · 371 citations

    6

    h-index

  5. JA
    Jan A. Kors

    Erasmus MC, Netherlands

    6 publications · 616 citations

    6

    h-index

1–5 of 525

Venues

  1. Journal of Cheminformatics

    29 publications · 2.2K citations

    22

    h-index

  2. Database

    11 publications · 551 citations

    11

    h-index

  3. Journal of Chemical Information and Modeling

    JCIM · 8 publications · 908 citations

    8

    h-index

  4. Bioinformatics

    4 publications · 866 citations

    4

    h-index

  5. BMC Bioinformatics

    4 publications · 173 citations

    4

    h-index

1–5