Data-driven Virtual Environments

Data-Driven Virtual Environments is a computational framework that integrates empirical scientific data into the construction and dynamic behavior of virtual environments, distinguishing itself by enabling real-time, accurate, and interactive visual simulations grounded in observable or measured data.

20

Publications

562

Citations

89

Authors

46

Institutions

Publications per year

2017–2026

7

Authors

89

  1. GL
    Guonian Lü

    Nanjing Normal University, China

    2 publications · 176 citations

    2

    h-index

  2. MO
    Mikiko Oono

    National Institute of Advanced Industrial Science and Technology, Japan

    1 publications · 14 citations

    1

    h-index

  3. CN
    Chris Ninness

    Stephen F. Austin State University, United States

    1 publications · 15 citations

    1

    h-index

  4. LZ
    Liangchen Zhou

    Nanjing Normal University, China

    1 publications · 19 citations

    1

    h-index

  5. CC
    Chen Cui

    Harbin Institute of Technology, China

    1 publications · 25 citations

    1

    h-index

1–5 of 89

Venues

  1. PubMed

    Repository · 1 publications · 12 citations

    1

    h-index

  2. International Journal of Digital Earth

    1 publications · 25 citations

    1

    h-index

  3. IEEE Access

    1 publications · 14 citations

    1

    h-index

  4. Internet Research

    1 publications · 22 citations

    1

    h-index

  5. Mathematics

    1 publications · 46 citations

    1

    h-index

1–5