Li Zhou
- Health Informatics top 0.5%
- Health Information Management top 0.1%
- Electronic Health Records Systems 24
- Issues, ethics and legal aspects top 0.5%
- Medical Terminology top 1%
- Toxicology top 0.5%
- Pharmacovigilance and Adverse Drug Reactions 21
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- Biomedical Text Mining and Ontologies 32
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- Drug-Induced Adverse Reactions 27
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- Machine Learning in Healthcare 21
- Semantic Web and Ontologies 13
- Topic Modeling 12
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- Asthma and respiratory diseases 14
- Co-authors
- Kimberly G. BlumenthalDavid W. BatesKenneth LaiGeorge HripcsakFoster GossMaxim TopazLiqin WangJoseph M. Plasek
- Journals
- The Journal of Allergy and Clinical Immunology In Practice (15 papers)Journal of the American Medical Informatics Association (15 papers)Journal of Biomedical Informatics (11 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Li Zhou
160 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 156
- Health Informatics 191
- Health Information Management 558
- Issues, ethics and legal aspects 127
- Medical Terminology 25
- Toxicology 290
Countries citing papers authored by Li Zhou
This map shows the geographic impact of Li Zhou'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 Li Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Zhou more than expected).
Fields of papers citing papers by Li Zhou
This network shows the impact of papers produced by Li Zhou. 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 Li Zhou. The network helps show where Li Zhou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Li Zhou, 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 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 2 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 4 | |
| 9 | 2023 | 4 | |
| 10 | 2023 | 9 | |
| 11 | 2023 | 18 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 14 | |
| 14 | 2021 | 24 | |
| 15 | 2021 | 36 | |
| 16 | 2021 | 2 | |
| 17 | 2020 | 17 | |
| 18 | 2020 | 2 | |
| 19 | 2019 | 1 | |
| 20 | Novelty, Question Answering and Genomics: The University of Iowa Response. | 2004 | 14 |
About Li Zhou
Li Zhou is a scholar working on Medical Terminology, Issues, ethics and legal aspects and Toxicology, having authored 172 papers that have together received 3.4k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (32 papers), Drug-Induced Adverse Reactions (27 papers), Electronic Health Records Systems (24 papers), Machine Learning in Healthcare (21 papers), Pharmacovigilance and Adverse Drug Reactions (21 papers), Asthma and respiratory diseases (14 papers), Semantic Web and Ontologies (13 papers) and Topic Modeling (12 papers). The work is most often cited by research in Health Informatics (191 citations), Health Information Management (558 citations) and Issues, ethics and legal aspects (127 citations). Li Zhou has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Kimberly G. Blumenthal, David W. Bates, Kenneth Lai, George Hripcsak, Foster Goss, Maxim Topaz, Liqin Wang, Joseph M. Plasek, Frank Chang and Diane L. Seger. Their work appears in journals such as The Journal of Allergy and Clinical Immunology In Practice, Journal of the American Medical Informatics Association, Journal of Biomedical Informatics, JAMA Network Open and International Journal of Medical Informatics.
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.