Amy Siu
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Advanced Graph Neural Networks
- Semantic Web and Ontologies
- Natural Language Processing Techniques
- Machine Learning in Healthcare
- Health Information Management top 10%
Papers in
-
- Biomedical Text Mining and Ontologies 9
- Bioinformatics and Genomic Networks 1
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- Topic Modeling 8
- Natural Language Processing Techniques 5
- Semantic Web and Ontologies 4
- Advanced Text Analysis Techniques 1
- Co-authors
- Gerhard Weikum (7 shared papers)Patrick Erñst (5 shared papers)Ling Hin Li (1 shared paper)Johannes Hoffart (1 shared paper)Klemens Budde (1 shared paper)Dat Ba Nguyen (1 shared paper)Manuel Mayrdorfer (1 shared paper)Rudolf Rosa (1 shared paper)
- Journals
- BMC Bioinformatics (1 paper)Free Radical Biology and Medicine (1 paper)Property Management (1 paper)JALA Journal of the Association for Laboratory Automation (1 paper)Edinburgh Research Explorer (University of Edinburgh) (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Amy Siu
13 papers receiving 215 citations
Peers
Comparison fields: 5 of 60
- Artificial Intelligence 164
- Health Information Management 20
- Health Informatics 5
- Computational Mathematics 2
- Management Science and Operations Research 24
Countries citing papers authored by Amy Siu
This map shows the geographic impact of Amy Siu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Amy Siu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy Siu more than expected).
Fields of papers citing papers by Amy Siu
This network shows the impact of papers produced by Amy Siu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Amy Siu. The network helps show where Amy Siu may publish in the future.
Co-authors
The 25 scholars most cited alongside Amy Siu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 93 | |
| 2 | 2014 | 48 | |
| 3 | 2017 | 20 | |
| 4 | 2016 | 13 | |
| 5 | 2001 | 13 | |
| 6 | 2021 | 11 | |
| 7 | 2018 | 10 | |
| 8 | 2023 | 7 | |
| 9 | Fast Entity Recognition in Biomedical Text | 2013 | 7 |
| 10 | 2016 | 3 | |
| 11 | 2003 | 1 | |
| 12 | 2020 | 1 | |
| 13 | 2015 | 1 | |
| 14 | Findings of the WMT 2018 Biomedical Translation Shared Task: Evaluation on Medline test sets | 2018 | 0 |
About Amy Siu
Amy Siu is a scholar working on Molecular Biology, Artificial Intelligence, Finance, Management Science and Operations Research and Physiology, having authored 14 papers that have together received 228 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (9 papers), Topic Modeling (8 papers), Natural Language Processing Techniques (5 papers), Semantic Web and Ontologies (4 papers), Advanced Text Analysis Techniques (1 paper), Bioinformatics and Genomic Networks (1 paper), Cell Image Analysis Techniques (1 paper) and Housing Market and Economics (1 paper). The work is most often cited by research in Artificial Intelligence (164 citations), Health Information Management (20 citations), Health Informatics (5 citations), Computational Mathematics (2 citations) and Management Science and Operations Research (24 citations). Amy Siu has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Gerhard Weikum, Patrick Erñst, Ling Hin Li, Johannes Hoffart, Klemens Budde, Dat Ba Nguyen, Manuel Mayrdorfer, Rudolf Rosa, Antonio Jimeno Yepes and Mariana Neves. Their work appears in journals such as BMC Bioinformatics, Free Radical Biology and Medicine, Property Management, JALA Journal of the Association for Laboratory Automation and Edinburgh Research Explorer (University of Edinburgh).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.