Data Retention

Data Retention is a formal policy governing the duration and conditions under which data are systematically preserved following collection, distinguishing it from related data management practices by specifying the temporal and procedural boundaries for maintaining data integrity and compliance within ethical and legal frameworks.

1.1K

Publications

45.7K

Citations

4.9K

Authors

736

Institutions

Publications per year

2017–2026

261

Authors

4.9K

  1. ZS
    Zhitang Song

    Shanghai Institute of Microsystem and Information Technology, China

    47 publications · 1.8K citations

    27

    h-index

  2. SS
    Sannian Song

    Shanghai Institute of Microsystem and Information Technology, China

    26 publications · 964 citations

    19

    h-index

  3. BL
    Bo Liu

    Chinese Academy of Sciences, China

    23 publications · 1K citations

    18

    h-index

  4. LW
    Liangcai Wu

    Shanghai Institute of Microsystem and Information Technology, China

    21 publications · 978 citations

    17

    h-index

  5. SF
    Songlin Feng

    Shanghai Institute of Microsystem and Information Technology, China

    17 publications · 609 citations

    16

    h-index

1–5 of 4.9K

Venues

  1. Applied Physics Letters

    89 publications · 5.5K citations

    45

    h-index

  2. IEEE Electron Device Letters

    61 publications · 2.8K citations

    30

    h-index

  3. IEEE Transactions on Electron Devices

    56 publications · 2.5K citations

    26

    h-index

  4. IEEE Journal of Solid-State Circuits

    37 publications · 1.6K citations

    23

    h-index

  5. Japanese Journal of Applied Physics

    JJAP · 26 publications · 859 citations

    16

    h-index

1–5