Wei‐Qi Wei

97 papers receiving 4.1k citations

Hit Papers

Precision Medicine, AI, and the Future of Personalized Health Care 2020 · 837 citations
8372018202620202023250500750

Peers

Wei‐Qi Wei
Comparison fields: 5 of 165
  • Health Informatics 393
  • Health Information Management 379
  • Genetics 1.0k
  • Nephrology 193
  • Artificial Intelligence 680
Replace Katherine P. Liao with:
Katherine P. Liao United States
Peggy Peissig United States
Vivian S. Gainer United States
Jennifer A. Pacheco United States
Susanne Churchill United States
Iftikhar J. Kullo United States
Spiros Denaxas United Kingdom
Luke V. Rasmussen United States
Degui Zhi United States
Elizabeth W. Karlson United States
Wei‐Qi Wei relative to Katherine P. Liao United States Katherine P. Liao's profile →
Citations per field
00.5×4.7×
Katherine P. Liao · 1×
Citations per year

Countries citing papers authored by Wei‐Qi Wei

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown
#Work
1 20243
2 202429
3 20240
4 20243
5 20234
6 20232
7 20239
8 202316
9 20230
10 20231
11 20235
12 20222
13 202216
14 202114
15 202111
16 202016
17 201989
18 201926
19
Mapping ICD-10 and ICD-10-CM Codes to Phecodes: Workflow Development and Initial Evaluation
Hit paper breakdown →
2019255
20 2017204

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.

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