Data Redundancy Management

Data Redundancy Management is a data management strategy that systematically identifies, controls, and minimizes duplicate or overlapping data entries within a dataset to enhance data integrity, storage efficiency, and processing accuracy.

192

Publications

7.1K

Citations

692

Authors

303

Institutions

Publications per year

2017–2026

77

Authors

692

  1. XL
    Xiao Liu

    Central South University, China

    4 publications · 364 citations

    4

    h-index

  2. YL
    Yuxin Liu

    Central South University, China

    3 publications · 267 citations

    3

    h-index

  3. HJ
    Hong Jiang

    University of Nebraska–Lincoln, United States

    3 publications · 144 citations

    3

    h-index

  4. AK
    Ali Kadhum Idrees

    University of Babylon, Iraq

    3 publications · 100 citations

    3

    h-index

  5. AL
    Anfeng Liu

    Central South University, China

    3 publications · 258 citations

    3

    h-index

1–5 of 692

Venues

  1. IEEE Access

    4 publications · 217 citations

    4

    h-index

  2. IEEE Transactions on Vehicular Technology

    3 publications · 127 citations

    3

    h-index

  3. Journal of Proteome Research

    JPR · 3 publications · 249 citations

    3

    h-index

  4. IEEE Internet of Things Journal

    4 publications · 218 citations

    3

    h-index

  5. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 2 publications · 62 citations

    2

    h-index

1–5