Spatiotemporal Data Publishing

Spatiotemporal Data Publishing is a data dissemination paradigm that releases datasets containing both spatial and temporal attributes for analytical or public use, distinguished by its focus on preserving individual privacy through anonymization or perturbation techniques in the presence of location and time-specific identifiers.

24

Publications

1.1K

Citations

92

Authors

60

Institutions

Publications per year

2017–2026

17

Authors

92

  1. XL
    Xiao Lu

    Shandong University of Science and Technology, China

    2 publications · 275 citations

    2

    h-index

  2. LK
    Lars Kulik

    The University of Melbourne, Australia

    2 publications · 61 citations

    2

    h-index

  3. QW
    Qian Wang

    Wuhan University, China

    2 publications · 275 citations

    2

    h-index

  4. KR
    Kui Ren

    University at Buffalo, State University of New York, United States

    2 publications · 275 citations

    2

    h-index

  5. ZQ
    Zhan Qin

    Zhejiang University, China

    2 publications · 275 citations

    2

    h-index

1–5 of 92

Venues

  1. IEEE Access

    2 publications · 22 citations

    2

    h-index

  2. The VLDB Journal

    1 publications · 58 citations

    1

    h-index

  3. 1

    h-index

  4. The Journal of Supercomputing

    1 publications · 18 citations

    1

    h-index

  5. Expert Systems with Applications

    1 publications · 26 citations

    1

    h-index

1–5