Wei Wei Lee

54 papers receiving 1.1k citations

Peers

Wei Wei Lee
Comparison fields: 5 of 103
  • Health Information Management 154
  • Health Informatics 18
  • General Health Professions 280
  • Sensory Systems 47
  • Public Health, Environmental and Occupational Health 256
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Danielle E. Parrish United States
Natasha Mitchell United Kingdom
Carolyn Rutledge United States
Alison J. Wright United Kingdom
Anna P. Goddu United States
Ryan Essex United Kingdom
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Madhavan Mani Australia
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Citations per field
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Citations per year

Countries citing papers authored by Wei Wei Lee

Since Specialization
Citations

This map shows the geographic impact of Wei Wei Lee'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 Wei Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Wei Lee more than expected).

Fields of papers citing papers by Wei Wei Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei Wei Lee. 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 Wei Lee. The network helps show where Wei Wei Lee may publish in the future.

Co-authors

The 25 scholars most cited alongside Wei Wei Lee, 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 Wei Lee Line = papers co-authored together Wei Wei Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016170
2 2017131
3 202187
4 200675
5 201870
6 201640
7 201939
8 202237
9 202132
10 201129
11 201726
12 201625
13 202124
14 202223
15 201223
16 199822
17 202021
18 201421
19 199919
20 199518

About Wei Wei Lee

Wei Wei Lee is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions, Organizational Behavior and Human Resource Management, Emergency Medicine and Cognitive Neuroscience, having authored 57 papers that have together received 1.2k indexed citations. Recurring topics across this work include Healthcare Systems and Technology (9 papers), Hospital Admissions and Outcomes (7 papers), Innovations in Medical Education (7 papers), Telemedicine and Telehealth Implementation (5 papers), Electronic Health Records Systems (5 papers), Healthcare professionals’ stress and burnout (5 papers), Social Media in Health Education (5 papers) and Radiology practices and education (4 papers). The work is most often cited by research in Health Information Management (154 citations), Health Informatics (18 citations), General Health Professions (280 citations), Sensory Systems (47 citations) and Public Health, Environmental and Occupational Health (256 citations). Wei Wei Lee has collaborated with scholars based in United States, Thailand and Switzerland. Frequent co-authors include Maria Alcocer Alkureishi, Vineet M. Arora, Amber T. Pincavage, James N. Woodruff, Maureen Lyons, Valerie G. Press, Frank E. Musiek, Debra A. Werner, Judith S. Gravel and Michelle Dunn. Their work appears in journals such as Journal of General Internal Medicine, Academic Medicine, JMIR Medical Education, Medical Education Online and Ear and Hearing.

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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