Batch Codes

Batch Codes is a coding-theoretic framework that belongs to the class of erasure codes and is distinguished by its ability to efficiently retrieve multiple codeword symbols in parallel by reading a small number of encoded symbols from disjoint subsets, thereby enabling simultaneous recovery of requested data items with reduced access overhead.

33

Publications

1.4K

Citations

72

Authors

46

Institutions

Publications per year

2017–2026

10

Authors

72

  1. SY
    Shenghao Yang

    Chinese University of Hong Kong, Hong Kong SAR China

    5 publications · 264 citations

    5

    h-index

  2. CB
    Csilla Bujtás

    University of Pannonia, Hungary

    5 publications · 99 citations

    5

    h-index

  3. ŹT
    Źsolt Tuza

    Hungarian Academy of Sciences, Hungary

    5 publications · 99 citations

    5

    h-index

  4. RW
    Raymond W. Yeung

    Chinese University of Hong Kong, Hong Kong SAR China

    3 publications · 203 citations

    3

    h-index

  5. YL
    Yong Liang Guan

    Nanyang Technological University, Singapore

    2 publications · 39 citations

    2

    h-index

1–5 of 72

Venues

  1. IEEE Transactions on Information Theory

    4 publications · 92 citations

    4

    h-index

  2. Advances in Mathematics of Communications

    3 publications · 149 citations

    3

    h-index

  3. IEEE Communications Letters

    2 publications · 48 citations

    2

    h-index

  4. Discrete Applied Mathematics

    2 publications · 35 citations

    2

    h-index

  5. IEEE Transactions on Communications

    1 publications · 21 citations

    1

    h-index

1–5