Scientific Information Extraction
Scientific Information Extraction is a type of information extraction that specifically targets and structurally identifies scientific knowledge—such as methods, models, datasets, and findings—from scholarly documents, distinguishing it from general-domain information extraction by its focus on technical, domain-specific content and formal scientific discourse structures.
431
Publications
21.7K
Citations
1.5K
Authors
627
Institutions
Publications per year
2017–2026
162
Parents
431
Reform retractions to make them more transparent
Quan‐Hoang Vuong · Nature · 2020 · 834 citations · Full text
Reform retractions to make them more transparent
Quan‐Hoang Vuong · 2020 · 787 citations · Full text
Structured information extraction from scientific text with large language models
John Dagdelen, Alexander Dunn, Sang‐Hoon Lee et al. · Nature Communications · 2024 · 586 citations · Full text
Toward information extraction: identifying protein names from biological papers.
Ken Fukuda, Akihiro Tamura, Tatsuhiko Tsunoda et al. · PubMed · 1998 · 495 citations
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627

University of Manchester
Manchester, United Kingdom
8 h-index
19 publications
801 citations
The University of Tokyo
Tokyo, Japan
8 h-index
21 publications
1.5K citations
Stanford University
Stanford, United States
7 h-index
16 publications
722 citations
Wuhan University
Wuhan, China
6 h-index
17 publications
302 citations

Pennsylvania State University
State College, United States
6 h-index
15 publications
337 citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
12 publications
279 citations
University of Sheffield
Sheffield, United Kingdom
5 h-index
12 publications
1.4K citations
Universidade de São Paulo
São Paulo, Brazil
5 h-index
10 publications
804 citations
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17 publications · 561 citations
14
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Repository · 11 publications · 737 citations
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Repository · 12 publications · 644 citations
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6 publications · 498 citations
6
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6 publications · 246 citations
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