Wei‐Na Lee

2.7k total citations
56 papers, 1.9k citations indexed

About

Wei‐Na Lee is a scholar working on Marketing, Sociology and Political Science and Social Psychology. According to data from OpenAlex, Wei‐Na Lee has authored 56 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Marketing, 36 papers in Sociology and Political Science and 17 papers in Social Psychology. Recurrent topics in Wei‐Na Lee's work include Consumer Behavior in Brand Consumption and Identification (34 papers), Digital Marketing and Social Media (28 papers) and Cultural Differences and Values (11 papers). Wei‐Na Lee is often cited by papers focused on Consumer Behavior in Brand Consumption and Identification (34 papers), Digital Marketing and Social Media (28 papers) and Cultural Differences and Values (11 papers). Wei‐Na Lee collaborates with scholars based in United States, South Korea and Canada. Wei‐Na Lee's co-authors include Byung‐Kwan Lee, Carrie La Ferle, David K. Tse, Steven M. Edwards, Yoon Hi Sung, Jie Zhang, Rachel Esther Lim, Kasey Windels, Barbara J. Phillips and Sejung Marina Choi and has published in prestigious journals such as Journal of Business Research, Computers in Human Behavior and Journal of Advertising.

In The Last Decade

Wei‐Na Lee

54 papers receiving 1.7k citations

Peers

Wei‐Na Lee
Comparison fields: 5 of 97
  • Marketing 1.1k
  • Sociology and Political Science 1.1k
  • Information Systems and Management 346
  • Organizational Behavior and Human Resource Management 322
  • Social Psychology 189
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Citations per field, relative to Wei‐Na Lee
Wei‐Na Lee · 1×
Citations per year, relative to Wei‐Na Lee
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Countries citing papers authored by Wei‐Na Lee

Since Specialization
Citations

This map shows the geographic impact of Wei‐Na 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‐Na 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‐Na Lee more than expected).

Fields of papers citing papers by Wei‐Na Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei‐Na Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Wei‐Na Lee. A scholar is included among the top collaborators of Wei‐Na Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wei‐Na Lee. Wei‐Na Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 7
2 4
3 6
4 20
5 15
6 20
7 41
8 73
9 25
10 44
11 37
12 38
13 35
14 107
15 93
16 3
17
Establishing the Spokes-Character in Academic Inquiry: Historical Overview and Framework For Definition
33
18 19
19
New media, new messages: An initial inquiry into audience reactions to advertising on
5
20
Ethnicity and Consumer Product Evaluation: a Cross-Cultural Comparison of Korean Immigrants and Americans
26

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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