Jungsun Yoon
- Sociology and Political Science top 5%
- Marketing top 5%
- Information Systems and Management top 5%
- Artificial Intelligence
- Organizational Behavior and Human Resource Management top 10%
- Co-authors
- Pei-Yu Sharon ChenShinyi WuJinyoung KimDongjun SuhYuchul JungSeo Young JeongKwang-Young Kim
- Topics
- Technology and Data Analysis (2 papers)Big Data and Business Intelligence (1 paper)Technology Adoption and User Behaviour (1 paper)
- Journals
- Journal of the Association for Information SystemsInternational Journal of Advanced Science and TechnologyProceedings of the Human Factors and Ergonomics Society Annual Meeting
- Partner nations
- South KoreaSingaporeUnited States
In The Last Decade
Jungsun Yoon
4 papers receiving 295 citations
Peers
Comparison fields: 5 of 44
- Sociology and Political Science 258
- Marketing 183
- Information Systems and Management 91
- Artificial Intelligence 55
- Organizational Behavior and Human Resource Management 42
Countries citing papers authored by Jungsun Yoon
This map shows the geographic impact of Jungsun Yoon'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 Jungsun Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jungsun Yoon more than expected).
Fields of papers citing papers by Jungsun Yoon
This network shows the impact of papers produced by Jungsun Yoon. 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 Jungsun Yoon. The network helps show where Jungsun Yoon may publish in the future.
Co-authorship network of co-authors of Jungsun Yoon
This figure shows the co-authorship network connecting the top 25 collaborators of Jungsun Yoon. A scholar is included among the top collaborators of Jungsun Yoon 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 Jungsun Yoon. Jungsun Yoon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | The Impact of Online Recommendations and Consumer Feedback on Sales | 308 |
| 6 | 8 |
About Jungsun Yoon
Jungsun Yoon is a scholar working on Leadership and Management, Human-Computer Interaction and Information Systems and Management, having authored 6 papers that have together received 318 indexed citations. Recurring topics across this work include Technology and Data Analysis (2 papers), Big Data and Business Intelligence (1 paper) and Technology Adoption and User Behaviour (1 paper). The work is most often cited by research in Marketing (183 citations), Information Systems and Management (91 citations) and Sociology and Political Science (258 citations). Jungsun Yoon has collaborated with scholars based in South Korea, Singapore and United States. Frequent co-authors include Pei-Yu Sharon Chen, Shinyi Wu, Jinyoung Kim, Dongjun Suh, Yuchul Jung, Seo Young Jeong and Kwang-Young Kim. Their work appears in journals such as Journal of the Association for Information Systems, International Journal of Advanced Science and Technology and Proceedings of the Human Factors and Ergonomics Society Annual Meeting.
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.