Data Deduplication

Data Deduplication is a data compression technique within storage systems that eliminates redundant data by identifying and removing duplicate blocks or chunks, retaining only one unique instance to optimize storage utilization and reduce data replication overhead.

616

Publications

32.2K

Citations

1.6K

Authors

552

Institutions

Publications per year

2017–2026

275

Authors

1.6K

  1. HJ
    Hong Jiang

    University of Nebraska–Lincoln, United States

    29 publications · 1.8K citations

    22

    h-index

  2. DF
    Dan Feng

    Huazhong University of Science and Technology, China

    27 publications · 1.7K citations

    21

    h-index

  3. WX
    Wen Xia

    Huazhong University of Science and Technology, China

    23 publications · 1.7K citations

    21

    h-index

  4. YH
    Yu Hua

    Huazhong University of Science and Technology, China

    17 publications · 1.1K citations

    15

    h-index

  5. PS
    Philip Shilane

    Princeton University, United States

    16 publications · 1.1K citations

    15

    h-index

1–5 of 1.6K

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 24 publications · 1.6K citations

    17

    h-index

  2. IEEE Transactions on Computers

    14 publications · 891 citations

    14

    h-index

  3. File and Storage Technologies

    Conference · 16 publications · 925 citations

    14

    h-index

  4. ACM Transactions on Storage

    TOS · 13 publications · 1.1K citations

    12

    h-index

  5. IEEE Access

    11 publications · 283 citations

    11

    h-index

1–5