Vector Data Representation

Vector Data Representation is a spatial data representation method that uses geometric primitives—such as points, lines, and polygons—to model discrete geographic features, distinguishing itself from raster-based approaches by encoding location and topology through coordinate-based vector structures.

446

Publications

30.4K

Citations

1.4K

Authors

506

Institutions

Publications per year

2017–2026

209

Authors

1.4K

  1. HL
    Hung-yi Lee

    National Taiwan University, Taiwan

    4 publications · 270 citations

    4

    h-index

  2. CS
    Chia-Hao Shen

    National Taiwan University, Taiwan

    4 publications · 270 citations

    4

    h-index

  3. CB
    Christoph Busch

    Darmstadt University of Applied Sciences, Germany

    3 publications · 186 citations

    3

    h-index

  4. CW
    Chao-Chung Wu

    National Taiwan University, Taiwan

    3 publications · 256 citations

    3

    h-index

  5. MV
    Michael Voigt

    Aalborg University, Denmark

    3 publications · 186 citations

    3

    h-index

1–5 of 1.4K

Venues

  1. arXiv (Cornell University)

    Repository · 23 publications · 593 citations

    16

    h-index

  2. 10

    h-index

  3. IEEE Access

    10 publications · 387 citations

    10

    h-index

  4. BMC Bioinformatics

    6 publications · 231 citations

    6

    h-index

  5. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 6 publications · 242 citations

    6

    h-index

1–5