Amy Siu
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Advanced Graph Neural Networks
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Machine Learning in Healthcare
Papers in
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- Biomedical Text Mining and Ontologies 9
- Ion Transport and Channel Regulation 1
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- Topic Modeling 8
- Natural Language Processing Techniques 5
- Semantic Web and Ontologies 3
- Co-authors
- Gerhard Weikum (7 shared papers)Patrick Erñst (5 shared papers)Ling Hin Li (1 shared paper)Johannes Hoffart (1 shared paper)Dat Ba Nguyen (1 shared paper)Manuel Mayrdorfer (1 shared paper)Klemens Budde (1 shared paper)Rudolf Rosa (1 shared paper)
- Journals
- Free Radical Biology and Medicine (1 paper)BMC Bioinformatics (1 paper)Property Management (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)Edinburgh Research Explorer (University of Edinburgh) (1 paper)
- Partner nations
- GermanyUnited StatesHong Kong
In The Last Decade
Amy Siu
13 papers receiving 224 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 152
- Health Informatics 6
- Health Information Management 16
- Computational Mathematics 2
- Management Science and Operations Research 25
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 | 94 | |
| 2 | 2014 | 50 | |
| 3 | 2017 | 20 | |
| 4 | 2021 | 14 | |
| 5 | 2016 | 14 | |
| 6 | 2001 | 13 | |
| 7 | 2018 | 10 | |
| 8 | 2023 | 8 | |
| 9 | Fast Entity Recognition in Biomedical Text | 2013 | 7 |
| 10 | 2016 | 3 | |
| 11 | 2003 | 1 | |
| 12 | 2015 | 1 | |
| 13 | 2020 | 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 236 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 (3 papers), Data Quality and Management (1 paper), Housing Market and Economics (1 paper), Housing, Finance, and Neoliberalism (1 paper) and Ion Transport and Channel Regulation (1 paper). The work is most often cited by research in Artificial Intelligence (152 citations), Health Informatics (6 citations), Health Information Management (16 citations), Computational Mathematics (2 citations) and Management Science and Operations Research (25 citations). Amy Siu has collaborated with scholars based in Germany, United States and Hong Kong. Frequent co-authors include Gerhard Weikum, Patrick Erñst, Ling Hin Li, Johannes Hoffart, Dat Ba Nguyen, Manuel Mayrdorfer, Klemens Budde, Rudolf Rosa, Cristian Grozea and Ondřej Bojar. Their work appears in journals such as Free Radical Biology and Medicine, BMC Bioinformatics, Property Management, HAL (Le Centre pour la Communication Scientifique Directe) 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.