Intelligent Process Planning
Intelligent Process Planning is a computer-aided process planning method that integrates artificial intelligence techniques to automatically generate, optimize, and adapt manufacturing process plans by reasoning over design specifications, resource capabilities, and production constraints.
117
Publications
6.3K
Citations
314
Authors
130
Institutions
Publications per year
2017–2026
50
Variants
Ipp
117
1–5 of 117
314
5
h-index
5
h-index
5
h-index
4
h-index
3
h-index
1–5 of 314
130

Huazhong University of Science and Technology
Wuhan, China
5 h-index
19 publications
1.1K citations

Xi'an Jiaotong University
Xi'an, China
5 h-index
17 publications
1.9K citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
9 publications
307 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
3 h-index
6 publications
160 citations
National Research Council Canada
Ottawa, Canada
3 h-index
6 publications
1.7K citations
National Academies of Sciences, Engineering, and Medicine
Washington, United States
3 h-index
6 publications
1.7K citations
University at Buffalo, State University of New York
Buffalo, United States
3 h-index
3 publications
137 citations
Shandong University
Jinan, China
3 h-index
13 publications
630 citations
1–8 of 130
11 publications · 755 citations
11
h-index
13 publications · 447 citations
10
h-index
5 publications · 216 citations
5
h-index
4 publications · 201 citations
4
h-index
3 publications · 293 citations
3
h-index
1–5