Canonicalization is a method in computer science that resolves multiple syntactically distinct representations of a resource into a single standardized form, differentiating it from related input and output processing techniques by ensuring equivalence in interpretation across contexts such as input validation, output encoding, and search engine optimization.
42
Publications
2.7K
Citations
160
Authors
74
Institutions
Publications per year
2017–2026
20
Publications
42
1–5 of 42
Authors
160
- HW
3
h-index
- GE
2
h-index
- SY
2
h-index
- YW
2
h-index
- AT
2
h-index
1–5 of 160
Institutions
74
Stanford University
Stanford, United States
5 h-index
11 publications
763 citations
Peking University
Beijing, China
3 h-index
19 publications
1.4K citations
Tsinghua University
Beijing, China
2 h-index
2 publications
109 citations
University of Rochester
Rochester, United States
2 h-index
2 publications
87 citations
Meta (Israel)
Tel Aviv, Israel
2 h-index
10 publications
565 citations
Roche (Switzerland)
Basel, Switzerland
2 h-index
3 publications
271 citations
King University
Bristol, United States
2 h-index
11 publications
705 citations
Tencent (China)
Shenzhen, China
2 h-index
3 publications
116 citations
1–8 of 74
Venues
- arXiv (Cornell University)
Repository · 3 publications · 69 citations
3
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- Journal of Chemical Information and Modeling
JCIM · 2 publications · 243 citations
2
h-index
- Journal of Cheminformatics
2 publications · 611 citations
2
h-index
- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Conference · 2 publications · 166 citations
2
h-index
- ACS Polymers Au
1 publications · 42 citations
1
h-index
1–5