Neural Network-based Clustering

Neural Network-Based Clustering is a clustering methodology within single-cell data analysis that employs neural network architectures to learn low-dimensional representations and identify cell subpopulations by leveraging nonlinear feature transformations and unsupervised learning objectives.

347

Publications

17.5K

Citations

1.1K

Authors

491

Institutions

Publications per year

2017–2026

126

Authors

1.1K

  1. WP
    Witold Pedrycz

    University of Alberta, Canada

    7 publications · 781 citations

    7

    h-index

  2. YB
    Yevgeniy Bodyanskiy

    Kharkiv National University of Radio Electronics, Ukraine

    7 publications · 154 citations

    7

    h-index

  3. NC
    Nallan C. Suresh

    University at Buffalo, State University of New York, United States

    5 publications · 285 citations

    5

    h-index

  4. SK
    Shashidhar Kaparthi

    University at Buffalo, State University of New York, United States

    5 publications · 285 citations

    5

    h-index

  5. OK
    Oleksii K. Tyshchenko

    Kharkiv National University of Radio Electronics, Ukraine

    4 publications · 100 citations

    4

    h-index

1–5 of 1.1K

Venues

  1. IEEE Transactions on Neural Networks

    15 publications · 1.2K citations

    15

    h-index

  2. Neural Networks

    10 publications · 1.1K citations

    10

    h-index

  3. Neurocomputing

    9 publications · 371 citations

    9

    h-index

  4. Applied Soft Computing

    8 publications · 441 citations

    8

    h-index

  5. 8

    h-index

1–5