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
- Co-authors
- Joshua C. DennyJuan ZhaoKevin B. JohnsonJane SnowdonKarl E. MisulisDilhan WeeraratneMark E. FrisseKyu Rhee
- Journals
- Journal of the American Medical Informatics Association (14 papers)Clinical Pharmacology & Therapeutics (7 papers)Journal of Biomedical Informatics (5 papers)Nature Communications (4 papers)JAMA Network Open (3 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Wei‐Qi Wei
97 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Health Informatics 393
- Health Information Management 379
- Genetics 1.0k
- Nephrology 193
- Artificial Intelligence 680
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 29 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 16 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 2 | |
| 13 | 2022 | 16 | |
| 14 | 2021 | 14 | |
| 15 | 2021 | 11 | |
| 16 | 2020 | 16 | |
| 17 | 2019 | 89 | |
| 18 | 2019 | 26 | |
| 19 | Mapping ICD-10 and ICD-10-CM Codes to Phecodes: Workflow Development and Initial Evaluation Hit paper breakdown → | 2019 | 255 |
| 20 | 2017 | 204 |
About Wei‐Qi Wei
Wei‐Qi Wei is a scholar working on Health Informatics, Toxicology, Health Information Management, Genetics and Geriatrics and Gerontology, having authored 100 papers that have together received 4.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (22 papers), Biomedical Text Mining and Ontologies (18 papers), Genomics and Rare Diseases (10 papers), Machine Learning in Healthcare (10 papers), Bioinformatics and Genomic Networks (8 papers), Lipoproteins and Cardiovascular Health (7 papers), Computational Drug Discovery Methods (7 papers) and Chronic Disease Management Strategies (6 papers). The work is most often cited by research in Health Informatics (393 citations), Health Information Management (379 citations), Genetics (1.0k citations), Nephrology (193 citations) and Artificial Intelligence (680 citations). Wei‐Qi Wei has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Joshua C. Denny, Juan Zhao, Kevin B. Johnson, Jane Snowdon, Karl E. Misulis, Dilhan Weeraratne, Mark E. Frisse, Kyu Rhee, Aliya Gifford and QiPing Feng. Their work appears in journals such as Journal of the American Medical Informatics Association, Clinical Pharmacology & Therapeutics, Journal of Biomedical Informatics, Nature Communications and JAMA Network Open.
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.