Kun Chang Lee

162 papers receiving 3.9k citations

Hit Papers

Understanding factors affecting trust in and satisfaction...20092026201420202009100200300400500

Peers

Kun Chang Lee
Comparison fields: 5 of 148
  • Sociology and Political Science 1.3k
  • Information Systems and Management 1.2k
  • Artificial Intelligence 863
  • Organizational Behavior and Human Resource Management 756
  • Marketing 710
Replace Fatemeh Zahedi with:
Fatemeh Zahedi United States
Michail N. Giannakos Norway
Ohbyung Kwon South Korea
Matti Mäntymäki Finland
Richard Vidgen United Kingdom
A.K.M. Najmul Islam Finland
Hock Chuan Chan Singapore
J. P. Shim United States
Matti Rossi Finland
Kun Chang Lee relative to Fatemeh Zahedi United States Fatemeh Zahedi's profile →
Citations per field
00.5×1.5×
Fatemeh Zahedi · 1×
Citations per year

Countries citing papers authored by Kun Chang Lee

Since Specialization
Citations

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

Fields of papers citing papers by Kun Chang Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kun Chang Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Chang Lee. A scholar is included among the top collaborators of Kun Chang 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 Kun Chang Lee. Kun Chang 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
#WorkIndexed citations
1 6
2 0
3 2
4 6
5 1
6 10
7 3
8 13
9 17
10 6
11 8
12 2
13 0
14 1
15
A Theoretical Framework for Exploring the Effect of the Six Sigma Management Activities on Corporate Competitiveness
1
16 2
17
Interpersonal Relationship Needs of Virtual Behavior: From Virtual Communities to Virtual Worlds
3
18
Intelligent integration of Ontology and Multi-agents Coordination Mechanism in Ubiquitous Decision Support System Portal
0
19 3
20
Fuzzy AHP and FCM-driven Hybrid Group Decision Support Mechanism
1

About Kun Chang Lee

Kun Chang Lee is a scholar working on Information Systems and Management, Marketing and Organizational Behavior and Human Resource Management, having authored 182 papers that have together received 4.2k indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (41 papers), Digital Marketing and Social Media (32 papers) and Cognitive Science and Mapping (23 papers). The work is most often cited by research in Information Systems and Management (1.2k citations), Marketing (710 citations) and Organizational Behavior and Human Resource Management (756 citations). Kun Chang Lee has collaborated with scholars based in South Korea, United Kingdom and United States. Frequent co-authors include Namho Chung, Sangjae Lee, In Won Kang, Inwon Kang, Seong Wook Chae, Ingoo Han, Yujong Hwang, Young Wook Seo, Hyun Soo Kim and D. Harrison McKnight. Their work appears in journals such as Journal of Business Research, Computers in Human Behavior and Expert Systems with Applications.

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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