Knowledge-driven Cad
Knowledge-Driven CAD is a computational design methodology that integrates explicit, formalized engineering knowledge into computer-aided design systems to automate decision-making and design synthesis based on predefined rules, constraints, and design intent.
168
Publications
6K
Citations
410
Authors
173
Institutions
Publications per year
2017–2026
30
Variants
Knowledge-based Cad
Parents
168
1–5 of 168
410
6
h-index
Jawaharlal Nehru Technological University Anantapur, India
3 publications · 79 citations
3
h-index
3
h-index
Rutgers, The State University of New Jersey, United States
3 publications · 97 citations
3
h-index
3
h-index
1–5 of 410
173
Carnegie Mellon University
Pittsburgh, United States
5 h-index
8 publications
228 citations
The University of Tokyo
Tokyo, Japan
5 h-index
10 publications
769 citations
Nanyang Technological University
Singapore, Singapore
5 h-index
11 publications
208 citations

Centre National de la Recherche Scientifique
Paris, France
4 h-index
10 publications
245 citations

University of Strathclyde
Glasgow, United Kingdom
4 h-index
8 publications
168 citations
Rutgers, The State University of New Jersey
New Brunswick, United States
4 h-index
7 publications
257 citations
North Carolina State University
Raleigh, United States
3 h-index
12 publications
220 citations
Université de Technologie de Troyes
Troyes, France
3 h-index
8 publications
242 citations
1–8 of 173
7 publications · 161 citations
7
h-index
7 publications · 424 citations
7
h-index
6 publications · 119 citations
6
h-index
AIEDAM · 6 publications · 158 citations
6
h-index
5 publications · 200 citations
5
h-index
1–5