Juyoung Kang
- Information Systems and Management top 2%
- Sociology and Political Science top 10%
- Information Systems top 5%
- Electrical and Electronic Engineering
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Sung Guen KimHwan-Seung YongEunpyo MoonHan S. UhmJu Hyun YuYuhui HongJun-Ho LeeHyomin Kim
- Topics
- Technology Adoption and User Behaviour (11 papers)Digital Marketing and Social Media (8 papers)Semantic Web and Ontologies (8 papers)
- Partner nations
- South KoreaUnited StatesSingapore
In The Last Decade
Juyoung Kang
43 papers receiving 673 citations
Peers
Comparison fields: 5 of 114
- Information Systems and Management 167
- Sociology and Political Science 165
- Information Systems 119
- Electrical and Electronic Engineering 115
- Radiology, Nuclear Medicine and Imaging 113
Countries citing papers authored by Juyoung Kang
This map shows the geographic impact of Juyoung 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 Juyoung Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juyoung Kang more than expected).
Fields of papers citing papers by Juyoung Kang
This network shows the impact of papers produced by Juyoung 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 Juyoung Kang. The network helps show where Juyoung Kang may publish in the future.
Co-authorship network of co-authors of Juyoung Kang
This figure shows the co-authorship network connecting the top 25 collaborators of Juyoung Kang. A scholar is included among the top collaborators of Juyoung 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 Juyoung Kang. Juyoung 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 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | FORECASTING CYBER THREATS THROUGH THE TEXT MINING ANALYSIS OF POLITICAL NEWS AND SECURITY LOGS | 2 |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | A Study on Job Satisfaction Factors in Retention and Turnover Groups using Dominance Analysis and LDA Topic Modeling with Employee Reviews on Glassdoor.com | 16 |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 8 | |
| 14 | 96 | |
| 15 | 6 | |
| 16 | Adaptive Ontology Matching Methodology for an Application Area | 0 |
| 17 | Rule Acquisition Using Ontology Based on Graph Search | 2 |
| 18 | The Effect of Knowledge Acquisition through OntoRule: XRML Approach | 0 |
| 19 | 24 | |
| 20 | 29 |
About Juyoung Kang
Juyoung Kang is a scholar working on Information Systems and Management, Media Technology and Information Systems, having authored 53 papers that have together received 717 indexed citations. Recurring topics across this work include Technology Adoption and User Behaviour (11 papers), Digital Marketing and Social Media (8 papers) and Semantic Web and Ontologies (8 papers). The work is most often cited by research in Information Systems and Management (167 citations), Business and International Management (29 citations) and Marketing (81 citations). Juyoung Kang has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Sung Guen Kim, Hwan-Seung Yong, Eunpyo Moon, Han S. Uhm, Ju Hyun Yu, Yuhui Hong, Jun-Ho Lee, Hyomin Kim, Wooju Kim and Jongseo Lee. Their work appears in journals such as Expert Systems with Applications, IEEE Access and RSC Advances.
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.