Hypercube Network Fault Diagnosis

Hypercube Network Fault Diagnosis is a systematic methodology within the field of parallel computing architectures that identifies and locates faulty nodes or links in a hypercube network by analyzing connectivity patterns and utilizing diagnostic models based on syndrome testing or comparison schemes.

74

Publications

4K

Citations

119

Authors

61

Institutions

Publications per year

2017–2026

13

Authors

119

  1. SZ
    Shuming Zhou

    Fujian Normal University, China

    6 publications · 138 citations

    6

    h-index

  2. DM
    Douglas M. Blough

    Georgia Institute of Technology, United States

    4 publications · 162 citations

    4

    h-index

  3. XY
    Xiaofan Yang

    Chongqing University, China

    4 publications · 137 citations

    4

    h-index

  4. JJ
    Jimmy J.M. Tan

    National Yang Ming Chiao Tung University, Taiwan

    4 publications · 411 citations

    4

    h-index

  5. LL
    Limei Lin

    Fujian Normal University, China

    4 publications · 83 citations

    4

    h-index

1–5 of 119

Venues

  1. IEEE Transactions on Computers

    20 publications · 1.6K citations

    18

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 6 publications · 487 citations

    6

    h-index

  3. Theoretical Computer Science

    5 publications · 279 citations

    5

    h-index

  4. IEEE Transactions on Reliability

    5 publications · 155 citations

    5

    h-index

  5. International Journal of Computer Mathematics

    3 publications · 196 citations

    3

    h-index

1–5