Entity Detection

Entity Detection is a scholarly contribution in the form of a method, model, framework, theory, construct, dataset, task, or metric that identifies and delineates specific referents within a domain of scientific inquiry, distinguished by its focus on the systematic recognition and categorization of discrete elements posited to exist within a given theoretical or empirical context.

485

Publications

30.3K

Citations

1.5K

Authors

481

Institutions

Publications per year

2017–2026

229

Authors

1.5K

  1. JH
    Jiawei Han

    University of Illinois Urbana-Champaign, United States

    14 publications · 1.8K citations

    12

    h-index

  2. GW
    Gerhard Weikum

    Max Planck Institute for Informatics, Germany

    10 publications · 430 citations

    10

    h-index

  3. HJ
    Heng Ji

    Rensselaer Polytechnic Institute, United States

    9 publications · 1.6K citations

    9

    h-index

  4. GZ
    Guodong Zhou

    Soochow University, China

    7 publications · 716 citations

    7

    h-index

  5. JW
    Jianyong Wang

    Tsinghua University, China

    7 publications · 1.1K citations

    7

    h-index

1–5 of 1.5K

Venues

  1. arXiv (Cornell University)

    Repository · 27 publications · 618 citations

    17

    h-index

  2. BMC Bioinformatics

    14 publications · 546 citations

    13

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 14 publications · 1.2K citations

    13

    h-index

  4. IEEE Access

    6 publications · 267 citations

    6

    h-index

  5. Proceedings of the VLDB Endowment

    PVLDB · 5 publications · 479 citations

    5

    h-index

1–5