Many-to-one Mapping
Many-To-One Mapping is a terminology mapping relation that belongs to the class of cardinality-based mapping types, distinguished by the alignment of multiple source terms or concepts to a single target term or concept within a unified referential framework.
168
Publications
17.7K
Citations
536
Authors
260
Institutions
Publications per year
2017–2026
65
Parents
168
The expectation-maximization algorithm
Todd K. Moon · IEEE Signal Processing Magazine · 1996 · 3.2K citations
Toward Multimodal Image-to-Image Translation
Jun-Yan Zhu, Richard Zhang, Deepak Pathak et al. · arXiv (Cornell University) · 2017 · 745 citations · Full text
An Analysis of Anonymity in the Bitcoin System
Fergal Reid, Martin Harrigan · 2011 · 578 citations
Toward Multimodal Image-to-Image Translation
Jun Zhu, Richard Zhang, Deepak Pathak et al. · arXiv (Cornell University) · 2017 · 486 citations · Full text
1–5 of 168
536
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h-index
3
h-index
3
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1–5 of 536
260
KU Leuven
Leuven, Belgium
4 h-index
13 publications
636 citations
University of Illinois Urbana-Champaign
Urbana, United States
4 h-index
5 publications
169 citations
University of California, Berkeley
Berkeley, United States
3 h-index
12 publications
5.1K citations
Adobe Systems (United States)
San Jose, United States
3 h-index
6 publications
2.5K citations
University of California, Davis
Davis, United States
3 h-index
5 publications
1K citations
ETH Zurich
Zurich, Switzerland
3 h-index
6 publications
994 citations

Peking University
Beijing, China
3 h-index
8 publications
383 citations
Northwestern University
Evanston, United States
3 h-index
9 publications
207 citations
1–8 of 260
Repository · 14 publications · 1.7K citations
12
h-index
4 publications · 91 citations
4
h-index
TRAN · 3 publications · 172 citations
3
h-index
2 publications · 36 citations
2
h-index
2 publications · 245 citations
2
h-index
1–5