Asset Generation

Asset Generation is a procedural methodology that systematically produces digital content assets through algorithmic means, distinguished from manual or static approaches by its reliance on rule-based, parametric, or generative techniques to create scalable, reusable, and context-adaptive graphical resources.

23

Publications

1.4K

Citations

64

Authors

31

Institutions

Publications per year

2017–2026

7

Authors

64

  1. TF
    Takashi Fujitani

    California State University, Chico, United States

    1 publications · 25 citations

    1

    h-index

  2. KN
    Kate Ness

    University of Reading, United Kingdom

    1 publications · 33 citations

    1

    h-index

  3. MS
    M. Shahzad

    Cockcroft Institute, United Kingdom

    1 publications · 305 citations

    1

    h-index

  4. ZW
    Ziyu Wang

    ShanghaiTech University, China

    1 publications · 101 citations

    1

    h-index

  5. ML
    Martin Luk

    Asser Institute, Netherlands

    1 publications · 19 citations

    1

    h-index

1–5 of 64

Venues

  1. SSRN Electronic Journal

    Repository · 2 publications · 29 citations

    2

    h-index

  2. Built Environment Project and Asset Management

    BEPAM · 1 publications · 18 citations

    1

    h-index

  3. Journal of Empirical Finance

    1 publications · 21 citations

    1

    h-index

  4. Construction Management and Economics

    1 publications · 33 citations

    1

    h-index

  5. 1

    h-index

1–5