Wei Wei Lee

1.7k citations
52 papers · 1.0k · h-index 18

Impact in

Papers in

Wei Wei Lee

49 papers receiving 1.0k citations

Peers

Wei Wei Lee
Comparison fields: 5 of 106
  • Health Information Management 199
  • General Health Professions 521
  • Family Practice 31
  • Health Informatics 18
  • Public Health, Environmental and Occupational Health 379
Replace Danielle E. Parrish with:
Danielle E. Parrish United States
Rachel Schwartz United States
Natasha Mitchell United Kingdom
Carolyn Rutledge United States
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Laura E. McClelland United States
Steven Chan United States
Thierry Provencher Canada
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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 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016151
2 2017126
3 202176
4 200674
5 201869
6 201935
7 201635
8 202233
9 201128
10 202128
11 201624
12 201724
13 201223
14 202021
15 202221
16 202121
17 199819
18 199918
19 199517
20 201416

About Wei Wei Lee

Wei Wei Lee is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health, Organizational Behavior and Human Resource Management, Health Information Management and Emergency Medicine, having authored 52 papers that have together received 1.0k indexed citations. Recurring topics across this work include Healthcare Systems and Technology (13 papers), Innovations in Medical Education (11 papers), Electronic Health Records Systems (9 papers), Healthcare professionals’ stress and burnout (8 papers), Hospital Admissions and Outcomes (8 papers), Patient-Provider Communication in Healthcare (6 papers), Telemedicine and Telehealth Implementation (5 papers) and Emergency and Acute Care Studies (5 papers). The work is most often cited by research in Health Information Management (199 citations), General Health Professions (521 citations), Family Practice (31 citations), Health Informatics (18 citations) and Public Health, Environmental and Occupational Health (379 citations). Wei Wei Lee has collaborated with scholars based in United States, Taiwan and United Kingdom. Frequent co-authors include Maria Alcocer Alkureishi, Vineet M. Arora, Amber T. Pincavage, James N. Woodruff, Maureen Lyons, Valerie G. Press, Frank E. Musiek, Michelle Dunn, Judith S. Gravel and Debra A. Werner. Their work appears in journals such as Journal of General Internal Medicine, Academic Medicine, Medical Education Online, JMIR Medical Education 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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