Cho-Tsan Bau
Impact in
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- Artificial Intelligence in Healthcare
- Electronic Health Records Systems
Papers in
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- Semantic Web and Ontologies 3
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- Biomedical Text Mining and Ontologies 3
- Co-authors
- Rung-Ching Chen (5 shared papers)Shyi‐Ming Chen (1 shared paper)Chung-Yi Huang (2 shared papers)Yi‐Jing Sheen (3 shared papers)Wayne Huey‐Herng Sheu (3 shared papers)Tsai‐Chung Li (3 shared papers)Hui Jiang (1 shared paper)Wen‐Chen Tsai (1 shared paper)
- Journals
- Medicine (1 paper)BioMed Research International (1 paper)Telemedicine Journal and e-Health (1 paper)Cardiovascular Diabetology (1 paper)Journal of Diabetes and its Complications (1 paper)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Cho-Tsan Bau
10 papers receiving 220 citations
Peers
Comparison fields: 5 of 65
- Health Information Management 42
- Health Informatics 4
- Artificial Intelligence 100
- Information Systems 51
- Nephrology 13
Countries citing papers authored by Cho-Tsan Bau
This map shows the geographic impact of Cho-Tsan Bau'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 Cho-Tsan Bau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cho-Tsan Bau more than expected).
Fields of papers citing papers by Cho-Tsan Bau
This network shows the impact of papers produced by Cho-Tsan Bau. 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 Cho-Tsan Bau. The network helps show where Cho-Tsan Bau may publish in the future.
Co-authors
The 10 scholars most cited alongside Cho-Tsan Bau, 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 | 2011 | 110 | |
| 2 | 2017 | 32 | |
| 3 | 2013 | 28 | |
| 4 | 2014 | 17 | |
| 5 | 2018 | 14 | |
| 6 | 2014 | 11 | |
| 7 | 2010 | 8 | |
| 8 | 2012 | 4 | |
| 9 | An Ontological Approach for Guideline-based Decision Support System | 2013 | 3 |
| 10 | 2012 | 2 |
About Cho-Tsan Bau
Cho-Tsan Bau is a scholar working on Artificial Intelligence, Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery, having authored 10 papers that have together received 229 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (3 papers), Semantic Web and Ontologies (3 papers), Cardiovascular Health and Disease Prevention (2 papers), Diabetes Management and Research (1 paper), Peripheral Artery Disease Management (1 paper), Pharmacy and Medical Practices (1 paper), Pain Management and Treatment (1 paper) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Health Information Management (42 citations), Health Informatics (4 citations), Artificial Intelligence (100 citations), Information Systems (51 citations) and Nephrology (13 citations). Cho-Tsan Bau has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Rung-Ching Chen, Shyi‐Ming Chen, Chung-Yi Huang, Yi‐Jing Sheen, Wayne Huey‐Herng Sheu, Tsai‐Chung Li, Hui Jiang, Wen‐Chen Tsai, Jong‐Chen Chen and Yung-Fu Chen. Their work appears in journals such as Medicine, BioMed Research International, Telemedicine Journal and e-Health, Cardiovascular Diabetology and Journal of Diabetes and its Complications.
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.