Predictive Design Analytics

Predictive Design Analytics is a subfield of Design Analytics that employs statistical and machine learning techniques to forecast design outcomes and user behaviors by analyzing historical and real-time data, thereby enabling proactive design decisions.

27

Publications

906

Citations

106

Authors

46

Institutions

Publications per year

2017–2026

17

Authors

106

  1. ZS
    Zhenghui Sha

    University of Arkansas at Fayetteville, United States

    2 publications · 33 citations

    2

    h-index

  2. AK
    Andrew Kusiak

    University of Iowa, United States

    1 publications · 18 citations

    1

    h-index

  3. SY
    Shuhan Yuan

    University of Arkansas at Fayetteville, United States

    1 publications · 21 citations

    1

    h-index

  4. SW
    Shunqi Wang

    Nanchang University, China

    1 publications · 21 citations

    1

    h-index

  5. RW
    Rynson W. H. Lau

    City University of Hong Kong, Hong Kong SAR China

    1 publications · 58 citations

    1

    h-index

1–5 of 106

Venues

  1. Journal of Mechanical Design

    4 publications · 99 citations

    4

    h-index

  2. Advanced Engineering Informatics

    2 publications · 70 citations

    2

    h-index

  3. ACM Transactions on Architecture and Code Optimization

    TACO · 1 publications · 65 citations

    1

    h-index

  4. Nano Today

    1 publications · 83 citations

    1

    h-index

  5. Journal of Open Innovation Technology Market and Complexity

    JOItmC · 1 publications · 16 citations

    1

    h-index

1–5