Cui Tao

324 papers receiving 5.0k citations

Hit Papers

Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction 2021 · 453 citations
4532021202620222024100200300400

Peers

Cui Tao
Comparison fields: 5 of 210
  • Health Informatics 181
  • Health Information Management 441
  • Artificial Intelligence 1.8k
  • Toxicology 117
  • Health 269
Replace Jyotishman Pathak with:
Jyotishman Pathak United States
Yu‐Chuan Li Taiwan
Jiang Bian United States
John H. Holmes United States
Elmer V. Bernstam United States
Tianxi Cai United States
Chunhua Weng United States
Shawn N. Murphy United States
Ellen Wright Clayton United States
Hua Xu United States
Cui Tao relative to Jyotishman Pathak United States Jyotishman Pathak's profile →
Citations per field
00.5×1.5×1.9×
Jyotishman Pathak · 1×
Citations per year

Countries citing papers authored by Cui Tao

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Cui Tao Line = papers co-authored together Cui Tao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
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A web application towards semiotic-based evaluation of biomedical ontologies
20157
18
Designing Ontology-based Patterns for the Representation of the Time-Relevant Eligibility Criteria of Clinical Protocols.
20154
19
Olfactory Receptor 51E1 is a Potential Novel Tissue Biomarker for the Diagnosis of Small Intestine Neuroendocrine Tumors
20134
20 20126

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.

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2026