One-to-many Mapping
One-To-Many Mapping is a terminology mapping relationship in which a single term or concept in the source vocabulary is systematically associated with multiple distinct terms or concepts in the target vocabulary, reflecting divergent conceptualizations or granularities across knowledge representations.
151
Publications
15.5K
Citations
462
Authors
212
Institutions
Publications per year
2017–2026
69
Parents
151
The expectation-maximization algorithm
Todd K. Moon · IEEE Signal Processing Magazine · 1996 · 3.2K citations
An Analysis of Anonymity in the Bitcoin System
Fergal Reid, Martin Harrigan · 2011 · 578 citations
Deep learning for accelerated all-dielectric metasurface design
Christian C. Nadell, Bohao Huang, Jordan M. Malof et al. · Optics Express · 2019 · 442 citations · Full text
1–5 of 151
462
3
h-index
3
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2
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2
h-index
1–5 of 462
212
Université de Montréal
Montreal, Canada
5 h-index
9 publications
432 citations
Tencent (China)
Shenzhen, China
4 h-index
9 publications
248 citations
Google (United States)
Mountain View, United States
3 h-index
19 publications
1.1K citations

City University of Hong Kong
Hong Kong, Hong Kong
3 h-index
4 publications
524 citations
National University of Singapore
Singapore, Singapore
3 h-index
6 publications
396 citations
New York University
New York, United States
3 h-index
3 publications
246 citations
Microsoft Research Asia (China)
Beijing, China
3 h-index
5 publications
4K citations
Baidu (China)
Beijing, China
3 h-index
10 publications
1.3K citations
1–8 of 212
Repository · 20 publications · 1.6K citations
16
h-index
Conference · 5 publications · 4.4K citations
5
h-index
3 publications · 263 citations
3
h-index
3 publications · 216 citations
3
h-index
BLC · 3 publications · 206 citations
3
h-index
1–5