Data-driven Design Exploration
Data-Driven Design Exploration is a systematic methodology within design space exploration that leverages empirical data and analytical models to iteratively guide, inform, and refine design decisions, distinguishing itself by prioritizing data-derived insights over heuristic or simulation-based exploration.
74
Publications
3K
Citations
273
Authors
118
Institutions
Publications per year
2017–2026
58
Parents
74
Jia‐Mian Hu, Chun‐Gang Duan, Ce‐Wen Nan et al. · npj Computational Materials · 2017 · 143 citations · Full text
Natural Sciences, Materials Engineering, Materials Science +15
Ranjitha Kumar, Arvind Satyanarayan, César Torres et al. · 2013 · 136 citations
Architecture, Design, Data Mining +15
1–5 of 74
273
Singapore University of Technology and Design, Singapore
4 publications · 264 citations
4
h-index
4
h-index
2
h-index
2
h-index
2
h-index
1–5 of 273
118
Singapore University of Technology and Design
Singapore, Singapore
5 h-index
15 publications
1K citations

Pennsylvania State University
State College, United States
5 h-index
12 publications
546 citations

Shanghai Jiao Tong University
Shanghai, China
4 h-index
12 publications
472 citations
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
6 publications
268 citations
University of California, Berkeley
Berkeley, United States
3 h-index
4 publications
72 citations
University of Washington
Seattle, United States
3 h-index
8 publications
174 citations

IT University of Copenhagen
Copenhagen, Denmark
3 h-index
7 publications
125 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
6 publications
190 citations
1–8 of 118
8 publications · 316 citations
8
h-index
Repository · 2 publications · 48 citations
2
h-index
2 publications · 106 citations
2
h-index
JCDE · 2 publications · 59 citations
2
h-index
1 publications · 13 citations
1
h-index
1–5