Data-driven Design Tools

Data-Driven Design Tools is a systematic framework within interactive design methodologies that integrates empirical data, analytics, and user-generated insights as primary inputs to inform, guide, and automate design decisions, thereby distinguishing itself from traditional approaches through its reliance on quantifiable evidence and iterative data feedback loops.

90

Publications

4.3K

Citations

361

Authors

142

Institutions

Publications per year

2017–2026

52

Authors

361

  1. SX
    Steven X. Ding

    University of Duisburg-Essen, Germany

    3 publications · 431 citations

    3

    h-index

  2. KL
    Kristin L. Wood

    Singapore University of Technology and Design, Singapore

    2 publications · 105 citations

    2

    h-index

  3. CF
    Chih-Min Fan

    Taiwan Semiconductor Manufacturing Company (Taiwan), Taiwan

    2 publications · 25 citations

    2

    h-index

  4. BH
    Biao Huang

    University of Alberta, Canada

    2 publications · 340 citations

    2

    h-index

  5. ED
    E.L. Ding

    University of Applied Sciences for Public Administration and Management, Germany

    2 publications · 347 citations

    2

    h-index

1–5 of 361

Venues

  1. IFAC Proceedings Volumes

    2 publications · 49 citations

    2

    h-index

  2. Automatica

    2 publications · 119 citations

    2

    h-index

  3. Computers & Industrial Engineering

    2 publications · 167 citations

    2

    h-index

  4. Journal of Mechanical Design

    2 publications · 111 citations

    2

    h-index

  5. Automation in Construction

    2 publications · 205 citations

    2

    h-index

1–5