Cross-database Matching
Cross-Database Matching is a re-identification technique that involves linking anonymous records across distinct databases by identifying common attributes or patterns, thereby distinguishing itself from within-database methods through its reliance on external data sources to infer individual identities.
67
Publications
4.3K
Citations
241
Authors
128
Institutions
Publications per year
2017–2026
31
Variants
Cross-database Record Linkage
Parents
67
A Semi-automatic Methodology for Facial Landmark Annotation
Christos Sagonas, Georgios Tzimiropoulos, Stefanos Zafeiriou et al. · 2013 · 397 citations · Full text
CapsuleNet for Micro-Expression Recognition
Nguyễn Văn Quang, Jinhee Chun, Takeshi Tokuyama · 2019 · 214 citations
BioMart Central Portal: an open database network for the biological community
Jonathan M. Guberman, Jing Ai, Olivier Arnaiz et al. · Database · 2011 · 170 citations · Full text
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128
IZA - Institute of Labor Economics
Bonn, Germany
3 h-index
3 publications
93 citations

Imperial College London
London, United Kingdom
3 h-index
12 publications
1.9K citations
University of Wisconsin–Madison
Madison, United States
3 h-index
3 publications
93 citations
Luxembourg Institute of Socio-Economic Research
Esch-sur-Alzette, Luxembourg
3 h-index
3 publications
93 citations

Bank of Italy
Rome, Italy
3 h-index
3 publications
93 citations

German Institute for Economic Research
Berlin, Germany
3 h-index
3 publications
93 citations

University of Oulu
Oulu, Finland
2 h-index
2 publications
73 citations

European Bioinformatics Institute
Cambridge, United Kingdom
2 h-index
16 publications
2K citations
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Repository · 3 publications · 93 citations
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Conference · 2 publications · 98 citations
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2 publications · 38 citations
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2 publications · 224 citations
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1 publications · 98 citations
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