Haejung Yun

23 papers receiving 643 citations

Peers

Haejung Yun
Comparison fields: 5 of 77
  • Sociology and Political Science 445
  • Information Systems and Management 232
  • Marketing 128
  • Organizational Behavior and Human Resource Management 114
  • Artificial Intelligence 88
Replace Lois Burgess with:
Lois Burgess Australia
Manuel Trenz Germany
Welf H. Weiger Germany
Deepa Sethi India
Pruthikrai Mahatanankoon United States
Kathy Wachter United States
Lisa McQuilken Australia
Inès Chouk France
Jung‐Jung Chang Taiwan
Seongtae Hong South Korea
Haejung Yun relative to Lois Burgess Australia Lois Burgess's profile →
Citations per field
00.5×4.6×
Lois Burgess · 1×
Citations per year

Countries citing papers authored by Haejung Yun

Since Specialization
Citations

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

Fields of papers citing papers by Haejung Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haejung Yun

This figure shows the co-authorship network connecting the top 25 collaborators of Haejung Yun. A scholar is included among the top collaborators of Haejung Yun 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 Haejung Yun. Haejung Yun 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 1
2 1
3 7
4 0
5 0
6 2
7 1
8 1
9
Developing Theory-based Text mining Framework to Evaluate Service quality in the Context of Hotel Customers’ Online Reviews
1
10
Personal Information Breach as a Service Failure: Examining Relationships among Recovery Efforts, Justice, and Customer Responses
3
11 4
12 10
13 9
14 18
15 1
16 2
17 0
18
The Impact of Avatar Appearance and Offline Identity Disclosure on Trust in Virtual Worlds
6
19
MIS 논문의 ‘게재 불가’ 및 ‘수정 후 재심사’ 사유:Asia Pacific Journal of Information Systems 심사소견서 분석
3
20
Testing the task-media fit: The effects of task equivocality on social presence of mobile video-mediated communication
0

About Haejung Yun

Haejung Yun is a scholar working on Information Systems and Management, Organizational Behavior and Human Resource Management and Sociology and Political Science, having authored 32 papers that have together received 679 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (15 papers), Digital Marketing and Social Media (14 papers) and Privacy, Security, and Data Protection (6 papers). The work is most often cited by research in Information Systems and Management (232 citations), Marketing (128 citations) and Organizational Behavior and Human Resource Management (114 citations). Haejung Yun has collaborated with scholars based in South Korea, United States and Myanmar. Frequent co-authors include Choong C. Lee, William J. Kettinger, Kun Ho Kim, Gwanhoo Lee, Dan J. Kim, Hee‐Woong Kim, Sumeet Gupta, Heng Xu, Kun Shin Im and Daniel Kim. Their work appears in journals such as Technological Forecasting and Social Change, Information & Management and Journal of the Association for Information Systems.

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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