Junyeong Lee
Impact in
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- Technology Adoption and User Behaviour
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- Big Data and Business Intelligence
Papers in
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- Technology Adoption and User Behaviour 7
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- Knowledge Management and Sharing 7
- Co-authors
- Heeseok LeeKyuhong ParkJae‐Hyeon AhnJinyoung MinLoo Geok PeeYoung‐Gul KimWonseok OhHyungjin Kim
- Journals
- International Journal of Information Management (3 papers)Telematics and Informatics (3 papers)Journal of the Association for Information Systems (2 papers)Journal of Knowledge Management (2 papers)Information Technology for Development (1 paper)
- Partner nations
- South KoreaChinaCanada
In The Last Decade
Junyeong Lee
17 papers receiving 347 citations
Peers
Comparison fields: 5 of 66
- Information Systems and Management 88
- Management Information Systems 110
- Marketing 68
- Strategy and Management 108
- Organizational Behavior and Human Resource Management 48
Countries citing papers authored by Junyeong Lee
This map shows the geographic impact of Junyeong Lee'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 Junyeong Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junyeong Lee more than expected).
Fields of papers citing papers by Junyeong Lee
This network shows the impact of papers produced by Junyeong Lee. 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 Junyeong Lee. The network helps show where Junyeong Lee may publish in the future.
Co-authors
The 14 scholars most cited alongside Junyeong Lee, 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 | 2024 | 0 | |
| 2 | 2023 | 7 | |
| 3 | 2022 | 6 | |
| 4 | 2022 | 2 | |
| 5 | 2022 | 12 | |
| 6 | 2021 | 7 | |
| 7 | 2021 | 7 | |
| 8 | 2019 | 11 | |
| 9 | 2019 | 80 | |
| 10 | 2019 | 16 | |
| 11 | 2018 | 59 | |
| 12 | 2018 | 0 | |
| 13 | 2018 | 0 | |
| 14 | 2018 | 2 | |
| 15 | 2018 | 76 | |
| 16 | Let Machines Unlearn – Machine Unlearning and the Right to be Forgotten | 2017 | 5 |
| 17 | 2017 | 32 | |
| 18 | 2017 | 1 | |
| 19 | 2017 | 26 | |
| 20 | 2017 | 8 |
About Junyeong Lee
Junyeong Lee is a scholar working on Information Systems and Management, Communication, Library and Information Sciences, Computer Science Applications and Strategy and Management, having authored 20 papers that have together received 357 indexed citations. Recurring topics across this work include Knowledge Management and Sharing (7 papers), Technology Adoption and User Behaviour (7 papers), Digital Marketing and Social Media (5 papers), Team Dynamics and Performance (4 papers), Innovation and Knowledge Management (4 papers), Big Data and Business Intelligence (2 papers), Open Source Software Innovations (2 papers) and Customer Service Quality and Loyalty (2 papers). The work is most often cited by research in Information Systems and Management (88 citations), Management Information Systems (110 citations), Marketing (68 citations), Strategy and Management (108 citations) and Organizational Behavior and Human Resource Management (48 citations). Junyeong Lee has collaborated with scholars based in South Korea, China and Canada. Frequent co-authors include Heeseok Lee, Kyuhong Park, Jae‐Hyeon Ahn, Jinyoung Min, Loo Geok Pee, Young‐Gul Kim, Wonseok Oh, Hyungjin Kim, Daegon Cho and Sunghan Ryu. Their work appears in journals such as International Journal of Information Management, Telematics and Informatics, Journal of the Association for Information Systems, Journal of Knowledge Management and Information Technology for Development.
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.