Jun-Yeon Heo
Impact in
- Marketing top 5%
- Service and Product Innovation
- Consumer Retail Behavior Studies
Papers in
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- Service and Product Innovation 5
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- Customer Service Quality and Loyalty 5
- Co-authors
- Kwang-Jae Kim (7 shared papers)Chiehyeon Lim (6 shared papers)Ki-Hun Kim (2 shared papers)Min-Jun Kim (1 shared paper)Paul P. Maglio (1 shared paper)Minjun Kim (2 shared papers)Myeongkyu Lee (1 shared paper)Yoo S. Hong (2 shared papers)
- Journals
- Service Business (2 papers)Service Science (1 paper)International Journal of Information Management (1 paper)International Journal of Precision Engineering and Manufacturing-Green Technology (1 paper)Journal of Intelligent Manufacturing (1 paper)
- Partner nations
- South KoreaUnited States
In The Last Decade
Jun-Yeon Heo
9 papers receiving 263 citations
Peers
Comparison fields: 5 of 53
- Marketing 151
- Management of Technology and Innovation 59
- Management Information Systems 59
- Organizational Behavior and Human Resource Management 62
- Industrial and Manufacturing Engineering 49
Countries citing papers authored by Jun-Yeon Heo
This map shows the geographic impact of Jun-Yeon Heo'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-Yeon Heo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun-Yeon Heo more than expected).
Fields of papers citing papers by Jun-Yeon Heo
This network shows the impact of papers produced by Jun-Yeon Heo. 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-Yeon Heo. The network helps show where Jun-Yeon Heo may publish in the future.
Co-authors
The 12 scholars most cited alongside Jun-Yeon Heo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 103 | |
| 2 | 2015 | 53 | |
| 3 | 2015 | 49 | |
| 4 | 2015 | 29 | |
| 5 | 2016 | 20 | |
| 6 | 2015 | 8 | |
| 7 | 2011 | 8 | |
| 8 | 2018 | 6 | |
| 9 | Development of Clamp Type Transferring Mechanism for Package Substrate's Wet Process | 2011 | 1 |
About Jun-Yeon Heo
Jun-Yeon Heo is a scholar working on Marketing, Organizational Behavior and Human Resource Management, Management of Technology and Innovation, Information Systems and Management and Civil and Structural Engineering, having authored 9 papers that have together received 277 indexed citations. Recurring topics across this work include Customer Service Quality and Loyalty (5 papers), Service and Product Innovation (5 papers), Quality Function Deployment in Product Design (2 papers), Technology Adoption and User Behaviour (2 papers), Innovation in Digital Healthcare Systems (1 paper), Technology Use by Older Adults (1 paper), Laser Material Processing Techniques (1 paper) and Surface Roughness and Optical Measurements (1 paper). The work is most often cited by research in Marketing (151 citations), Management of Technology and Innovation (59 citations), Management Information Systems (59 citations), Organizational Behavior and Human Resource Management (62 citations) and Industrial and Manufacturing Engineering (49 citations). Jun-Yeon Heo has collaborated with scholars based in South Korea and United States. Frequent co-authors include Kwang-Jae Kim, Chiehyeon Lim, Ki-Hun Kim, Min-Jun Kim, Paul P. Maglio, Minjun Kim, Myeongkyu Lee, Yoo S. Hong, Kwangtae Park and Dong‐Hee Lee. Their work appears in journals such as Service Business, Service Science, International Journal of Information Management, International Journal of Precision Engineering and Manufacturing-Green Technology and Journal of Intelligent Manufacturing.
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.