Tensor Reconstruction

Tensor Reconstruction is a computational framework within Reconstruction Theory that uniquely integrates multiway data structures through higher-order tensor factorization to recover latent multidimensional patterns from incomplete or noisy observations.

207

Publications

11.2K

Citations

682

Authors

342

Institutions

Publications per year

2017–2026

103

Authors

682

  1. MK
    Michael K. Ng

    Hong Kong Baptist University, Hong Kong SAR China

    5 publications · 235 citations

    5

    h-index

  2. GG
    G.T. Gullberg

    University of Utah, United States

    5 publications · 120 citations

    5

    h-index

  3. DM
    Deyu Meng

    Xi'an Jiaotong University, China

    5 publications · 266 citations

    5

    h-index

  4. GB
    Guillaume Bal

    Columbia University, United States

    5 publications · 115 citations

    5

    h-index

  5. FM
    François Monard

    Columbia University, United States

    5 publications · 119 citations

    5

    h-index

1–5 of 682

Venues

  1. Magnetic Resonance in Medicine

    MRM · 7 publications · 1.9K citations

    7

    h-index

  2. arXiv (Cornell University)

    Repository · 6 publications · 205 citations

    6

    h-index

  3. Magnetic Resonance Imaging

    5 publications · 176 citations

    5

    h-index

  4. IEEE Transactions on Signal Processing

    6 publications · 291 citations

    5

    h-index

  5. Inverse Problems

    4 publications · 104 citations

    4

    h-index

1–5