Black Box Modeling

Black Box Modeling is a functional modeling approach that characterizes a system solely by its inputs and outputs without explicit representation of its internal mechanisms or structural composition.

1.2K

Publications

87.5K

Citations

3.4K

Authors

1.2K

Institutions

Publications per year

2017–2026

550

Variants

Black-box Modeling

Authors

3.4K

  1. CR
    Cynthia Rudin

    Duke University, United States

    11 publications · 10.5K citations

    11

    h-index

  2. LL
    Lennart Ljung

    Linköping University, Sweden

    10 publications · 3K citations

    10

    h-index

  3. RC
    Rich Caruana

    Cornell University, United States

    8 publications · 643 citations

    8

    h-index

  4. AB
    A. Barrado

    Universidad Carlos III de Madrid, Spain

    7 publications · 323 citations

    7

    h-index

  5. VV
    V. Valdivia

    Universidad Carlos III de Madrid, Spain

    7 publications · 323 citations

    7

    h-index

1–5 of 3.4K

Venues

  1. arXiv (Cornell University)

    Repository · 82 publications · 5.6K citations

    30

    h-index

  2. IEEE Transactions on Power Delivery

    14 publications · 497 citations

    14

    h-index

  3. IEEE Access

    11 publications · 992 citations

    11

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 10 publications · 2.7K citations

    10

    h-index

  5. The Journal of Chemical Physics

    9 publications · 394 citations

    9

    h-index

1–5