Benchmark Dataset Development

Benchmark Dataset Development is a scholarly contribution that constitutes the systematic creation and curation of standardized, representative data collections designed to serve as reference points for evaluating and comparing the performance of computational models or algorithms within the domain of Vegetative Weed Identification.

1.7K

Publications

126.9K

Citations

6.7K

Authors

1.9K

Institutions

Publications per year

2017–2026

1.2K

Authors

6.7K

  1. KC
    Kuo‐Chen Chou

    The Gordon Life Science Institute, United States

    24 publications · 4.2K citations

    23

    h-index

  2. BL
    Bin Liu

    Harbin Institute of Technology, China

    15 publications · 2.1K citations

    15

    h-index

  3. HL
    Hao Lin

    University of Electronic Science and Technology of China, China

    14 publications · 1.7K citations

    14

    h-index

  4. YC
    Yu‐Dong Cai

    Shanghai University, China

    14 publications · 1K citations

    14

    h-index

  5. WC
    Wei Chen

    North China University of Science and Technology, China

    13 publications · 1.3K citations

    13

    h-index

1–5 of 6.7K

Venues

  1. arXiv (Cornell University)

    Repository · 144 publications · 5.7K citations

    37

    h-index

  2. IEEE Access

    46 publications · 2.6K citations

    27

    h-index

  3. PLoS ONE

    25 publications · 2.8K citations

    23

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 25 publications · 2K citations

    21

    h-index

  5. Bioinformatics

    25 publications · 3K citations

    20

    h-index

1–5