Map Performance Optimization

Map Performance Optimization is a methodological framework in web map design and publishing that systematically enhances the efficiency, responsiveness, and scalability of map delivery and interaction by minimizing data latency, optimizing resource loading, and improving rendering speed across distributed client-server architectures.

30

Publications

20.8K

Citations

97

Authors

51

Institutions

Publications per year

2017–2026

11

Authors

97

  1. LB
    Lin Bai

    Beihang University, China

    2 publications · 39 citations

    2

    h-index

  2. IS
    Ilan Shimshoni

    Technion – Israel Institute of Technology, Israel

    2 publications · 40 citations

    2

    h-index

  3. JC
    Jinho Choi

    Deakin University, Australia

    2 publications · 39 citations

    2

    h-index

  4. JZ
    Jun Zhang

    Beihang University, China

    1 publications · 14 citations

    1

    h-index

  5. HW
    Huayi Wu

    State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, China

    1 publications · 50 citations

    1

    h-index

1–5 of 97

Venues

  1. arXiv (Cornell University)

    Repository · 2 publications · 5.9K citations

    2

    h-index

  2. 1

    h-index

  3. International Journal of Hydrogen Energy

    1 publications · 30 citations

    1

    h-index

  4. Applied Thermal Engineering

    1 publications · 20 citations

    1

    h-index

  5. IEEE Transactions on Signal Processing

    1 publications · 13 citations

    1

    h-index

1–5