Tsai‐Ling Liu
Impact in
- Health Informatics top 5%
- Artificial Intelligence in Healthcare and Education
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- Antibiotic Use and Resistance
Papers in
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- Artificial Intelligence in Healthcare and Education 3
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- Electronic Health Records Systems 3
- Co-authors
- Yhenneko J. TaylorNicole HuangElizabeth A. HowellYiing‐Jenq ChouMorris WeinbergerJustin G. TrogdonA. Sidney BarrittBruce J. Fried
- Journals
- Journal of Asthma (2 papers)Annals of Internal Medicine (1 paper)JAMA Network Open (1 paper)Journal of Food and Drug Analysis (1 paper)Photonic Network Communications (1 paper)
- Partner nations
- United StatesTaiwanSouth Africa
In The Last Decade
Tsai‐Ling Liu
26 papers receiving 455 citations
Peers
Comparison fields: 5 of 86
- Health Informatics 43
- Applied Microbiology and Biotechnology 46
- Family Practice 14
- Hepatology 44
- General Health Professions 122
Countries citing papers authored by Tsai‐Ling Liu
This map shows the geographic impact of Tsai‐Ling Liu'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 Tsai‐Ling Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsai‐Ling Liu more than expected).
Fields of papers citing papers by Tsai‐Ling Liu
This network shows the impact of papers produced by Tsai‐Ling Liu. 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 Tsai‐Ling Liu. The network helps show where Tsai‐Ling Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tsai‐Ling Liu, 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 | 2025 | 0 | |
| 2 | 2024 | 26 | |
| 3 | 2024 | 29 | |
| 4 | 2024 | 27 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 1 | |
| 9 | 2021 | 12 | |
| 10 | 2020 | 7 | |
| 11 | 2019 | 42 | |
| 12 | 2019 | 4 | |
| 13 | 2017 | 55 | |
| 14 | 2016 | 6 | |
| 15 | 2016 | 47 | |
| 16 | 2013 | 49 | |
| 17 | 2013 | 1 | |
| 18 | 2012 | 50 | |
| 19 | 2010 | 7 | |
| 20 | 2003 | 6 |
About Tsai‐Ling Liu
Tsai‐Ling Liu is a scholar working on Health Informatics, Health Information Management, Applied Microbiology and Biotechnology, Otorhinolaryngology and Family Practice, having authored 28 papers that have together received 466 indexed citations. Recurring topics across this work include Healthcare Policy and Management (4 papers), Patient-Provider Communication in Healthcare (4 papers), Artificial Intelligence in Healthcare and Education (3 papers), Electronic Health Records Systems (3 papers), Global Maternal and Child Health (3 papers), Palliative Care and End-of-Life Issues (2 papers), Chronic Disease Management Strategies (2 papers) and Machine Learning in Healthcare (2 papers). The work is most often cited by research in Health Informatics (43 citations), Applied Microbiology and Biotechnology (46 citations), Family Practice (14 citations), Hepatology (44 citations) and General Health Professions (122 citations). Tsai‐Ling Liu has collaborated with scholars based in United States, Taiwan and South Africa. Frequent co-authors include Yhenneko J. Taylor, Nicole Huang, Elizabeth A. Howell, Yiing‐Jenq Chou, Morris Weinberger, Justin G. Trogdon, A. Sidney Barritt, Bruce J. Fried, Timothy Hetherington and Michael Dulin. Their work appears in journals such as Journal of Asthma, Annals of Internal Medicine, JAMA Network Open, Journal of Food and Drug Analysis and Photonic Network Communications.
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.