Wei‐Qi Wei
Impact in
- Health Informatics top 0.1%
- Artificial Intelligence in Healthcare and Education
- Health Information Management top 0.2%
- Artificial Intelligence in Healthcare
Papers in
-
- Biomedical Text Mining and Ontologies 12
- Bioinformatics and Genomic Networks 6
- Genetics 22
- Genetic Associations and Epidemiology 18
- Genomics and Rare Diseases 6
- Co-authors
- Joshua C. Denny (37 shared papers)Juan Zhao (15 shared papers)Kevin B. Johnson (4 shared papers)Jane Snowdon (1 shared paper)Kyu Rhee (1 shared paper)Dilhan Weeraratne (1 shared paper)Mark E. Frisse (1 shared paper)Karl E. Misulis (1 shared paper)
- Journals
- Journal of the American Medical Informatics Association (14 papers)Clinical Pharmacology & Therapeutics (7 papers)Journal of Biomedical Informatics (6 papers)Clinical and Translational Science (4 papers)Nature Communications (4 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
Wei‐Qi Wei
101 papers receiving 4.5k citations
Wei‐Qi Wei's Hit Papers
Peers
Comparison fields: 5 of 166
- Health Informatics 408
- Health Information Management 332
- Genetics 849
- Nephrology 175
- Artificial Intelligence 617
Countries citing papers authored by Wei‐Qi Wei
This map shows the geographic impact of Wei‐Qi Wei'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 Wei‐Qi Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei‐Qi Wei more than expected).
Fields of papers citing papers by Wei‐Qi Wei
This network shows the impact of papers produced by Wei‐Qi Wei. 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 Wei‐Qi Wei. The network helps show where Wei‐Qi Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei‐Qi Wei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Precision Medicine, AI, and the Future of Personalized Health Care Hit paper breakdown → | 2020 | 1063 |
| 2 | Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies Hit paper breakdown → | 2018 | 638 |
| 3 | Mapping ICD-10 and ICD-10-CM Codes to Phecodes: Workflow Development and Initial Evaluation Hit paper breakdown → | 2019 | 264 |
| 4 | 2011 | 228 | |
| 5 | 2017 | 212 | |
| 6 | 2015 | 163 | |
| 7 | 2013 | 156 | |
| 8 | 2015 | 152 | |
| 9 | 2019 | 132 | |
| 10 | 2019 | 96 | |
| 11 | 2019 | 92 | |
| 12 | 2012 | 88 | |
| 13 | 2013 | 84 | |
| 14 | 2020 | 77 | |
| 15 | 2016 | 71 | |
| 16 | 2018 | 61 | |
| 17 | 2015 | 61 | |
| 18 | 2019 | 58 | |
| 19 | 2019 | 45 | |
| 20 | 2017 | 38 |
About Wei‐Qi Wei
Wei‐Qi Wei is a scholar working on Molecular Biology, Genetics, Surgery, Artificial Intelligence and Public Health, Environmental and Occupational Health, having authored 105 papers that have together received 4.6k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (18 papers), Biomedical Text Mining and Ontologies (12 papers), Machine Learning in Healthcare (7 papers), Genomics and Rare Diseases (6 papers), Bioinformatics and Genomic Networks (6 papers), Lipoproteins and Cardiovascular Health (6 papers), Acute Lymphoblastic Leukemia research (5 papers) and Computational Drug Discovery Methods (5 papers). The work is most often cited by research in Health Informatics (408 citations), Health Information Management (332 citations), Genetics (849 citations), Nephrology (175 citations) and Artificial Intelligence (617 citations). Wei‐Qi Wei has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Joshua C. Denny, Juan Zhao, Kevin B. Johnson, Jane Snowdon, Kyu Rhee, Dilhan Weeraratne, Mark E. Frisse, Karl E. Misulis, QiPing Feng and Aliya Gifford. Their work appears in journals such as Journal of the American Medical Informatics Association, Clinical Pharmacology & Therapeutics, Journal of Biomedical Informatics, Clinical and Translational Science and Nature 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.