Box Classification

Box Classification is an academic contribution categorized as a discrete, paper-level innovation—such as a method, model, framework, theory, construct, dataset, task, or metric—that is directly subsumed under the parent topic of Domestic Support.

14

Publications

1.3K

Citations

49

Authors

21

Institutions

Publications per year

2017–2026

9

Authors

49

  1. SC
    Shengyong Chen

    Zhejiang University of Technology, China

    2 publications · 963 citations

    2

    h-index

  2. DG
    Dongyan Guo

    Zhejiang University of Technology, China

    2 publications · 963 citations

    2

    h-index

  3. ZW
    Zhenhua Wang

    Zhejiang University of Technology, China

    2 publications · 963 citations

    2

    h-index

  4. JL
    Jens Ledet Jensen

    Aarhus University, Denmark

    2 publications · 35 citations

    2

    h-index

  5. YC
    Ying Cui

    Zhejiang University of Technology, China

    2 publications · 963 citations

    2

    h-index

1–5 of 49

Venues

  1. Applied Sciences

    2 publications · 25 citations

    2

    h-index

  2. arXiv (Cornell University)

    Repository · 2 publications · 66 citations

    2

    h-index

  3. 2

    h-index

  4. 1

    h-index

  5. Expert Systems with Applications

    1 publications · 102 citations

    1

    h-index

1–5