Jun Kang
- Marketing top 5%
- Organizational Behavior and Human Resource Management top 5%
- Sociology and Political Science top 10%
- Strategy and Management top 10%
- Management Information Systems top 10%
- Co-authors
- Thomas G. BrashearMark D. GrozaMarco Tulio ZaniniAnthony K. AsareJing YangYifan SunZhi YangPing Li
- Topics
- Technology Adoption and User Behaviour (6 papers)Customer Service Quality and Loyalty (6 papers)Digital Marketing and Social Media (4 papers)
- Cited by
- MarketingOrganizational Behavior and Human Resource ManagementInformation Systems and Management
- Journals
- Journal of Business ResearchEuropean Journal of MarketingJournal of Business and Industrial Marketing
- Partner nations
- ChinaUnited StatesBrazil
In The Last Decade
Jun Kang
16 papers receiving 387 citations
Peers
Comparison fields: 5 of 59
- Marketing 178
- Organizational Behavior and Human Resource Management 176
- Sociology and Political Science 140
- Strategy and Management 116
- Management Information Systems 66
Countries citing papers authored by Jun Kang
This map shows the geographic impact of Jun Kang'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 Jun Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Kang more than expected).
Fields of papers citing papers by Jun Kang
This network shows the impact of papers produced by Jun Kang. 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 Jun Kang. The network helps show where Jun Kang may publish in the future.
Co-authorship network of co-authors of Jun Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Jun Kang. A scholar is included among the top collaborators of Jun Kang 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 Jun Kang. Jun Kang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 97 | |
| 9 | 14 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 10 | |
| 13 | 53 | |
| 14 | 58 | |
| 15 | 107 | |
| 16 | 30 | |
| 17 | 1 |
About Jun Kang
Jun Kang is a scholar working on Information Systems and Management, Marketing and Organizational Behavior and Human Resource Management, having authored 17 papers that have together received 407 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (6 papers), Customer Service Quality and Loyalty (6 papers) and Digital Marketing and Social Media (4 papers). The work is most often cited by research in Marketing (178 citations), Organizational Behavior and Human Resource Management (176 citations) and Information Systems and Management (65 citations). Jun Kang has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Thomas G. Brashear, Mark D. Groza, Marco Tulio Zanini, Anthony K. Asare, Jing Yang, Yifan Sun, Zhi Yang, Ping Li, Yu‐Ru Liu and Yan Wan. Their work appears in journals such as Journal of Business Research, European Journal of Marketing and Journal of Business and Industrial Marketing.
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.