Cui Tao
Impact in
- Health Informatics top 0.5%
- Health Information Management top 0.2%
- Artificial Intelligence in Healthcare
Papers in
- Co-authors
- Jingcheng DuDegui ZhiYang XiangLaila RasmyZiqian XieChristopher G. ChuteMuhammad AmithHua Xu
- Journals
- BMC Medical Informatics and Decision Making (21 papers)Journal of the American Medical Informatics Association (19 papers)Journal of Biomedical Semantics (17 papers)Journal of Biomedical Informatics (12 papers)PLoS ONE (5 papers)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Cui Tao
324 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 210
- Health Informatics 181
- Health Information Management 441
- Artificial Intelligence 1.8k
- Toxicology 117
- Health 269
Countries citing papers authored by Cui Tao
This map shows the geographic impact of Cui Tao'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 Cui Tao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cui Tao more than expected).
Fields of papers citing papers by Cui Tao
This network shows the impact of papers produced by Cui Tao. 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 Cui Tao. The network helps show where Cui Tao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Cui Tao, 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 | 0 | |
| 3 | 2025 | 4 | |
| 4 | 2024 | 14 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 5 | |
| 9 | 2023 | 6 | |
| 10 | 2023 | 13 | |
| 11 | 2023 | 12 | |
| 12 | 2022 | 14 | |
| 13 | 2022 | 1 | |
| 14 | 2021 | 20 | |
| 15 | 2020 | 53 | |
| 16 | 2020 | 7 | |
| 17 | A web application towards semiotic-based evaluation of biomedical ontologies | 2015 | 7 |
| 18 | Designing Ontology-based Patterns for the Representation of the Time-Relevant Eligibility Criteria of Clinical Protocols. | 2015 | 4 |
| 19 | Olfactory Receptor 51E1 is a Potential Novel Tissue Biomarker for the Diagnosis of Small Intestine Neuroendocrine Tumors | 2013 | 4 |
| 20 | 2012 | 6 |
About Cui Tao
Cui Tao is a scholar working on Health Informatics, Health Information Management, Artificial Intelligence, Toxicology and Health, having authored 349 papers that have together received 5.2k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (96 papers), Semantic Web and Ontologies (55 papers), Topic Modeling (33 papers), Machine Learning in Healthcare (25 papers), Bioinformatics and Genomic Networks (21 papers), Computational Drug Discovery Methods (20 papers), Natural Language Processing Techniques (18 papers) and Vaccine Coverage and Hesitancy (17 papers). The work is most often cited by research in Health Informatics (181 citations), Health Information Management (441 citations), Artificial Intelligence (1.8k citations), Toxicology (117 citations) and Health (269 citations). Cui Tao has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Jingcheng Du, Degui Zhi, Yang Xiang, Laila Rasmy, Ziqian Xie, Christopher G. Chute, Muhammad Amith, Hua Xu, Jun Xu and Yaoyun Zhang. Their work appears in journals such as BMC Medical Informatics and Decision Making, Journal of the American Medical Informatics Association, Journal of Biomedical Semantics, Journal of Biomedical Informatics and PLoS ONE.
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.