Hanjun Lee
Impact in
- Computer Science Applications top 10%
- Communication top 10%
- Knowledge Management and Sharing
Papers in
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- Knowledge Management and Sharing 6
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- Open Source Software Innovations 4
- Co-authors
- Yongmoo Suh (12 shared papers)Jinyoung Han (3 shared papers)Keunho Choi (3 shared papers)Donghee Yoo (3 shared papers)Jinwook Choi (1 shared paper)Seung Hee Yoo (1 shared paper)Jae-Dong Kim (3 shared papers)Hong-Chul Lee (1 shared paper)
- Journals
- ACM SIGMIS Database the DATABASE for Advances in Information Systems (2 papers)Online Information Review (1 paper)Innovation (1 paper)Data Technologies and Applications (1 paper)IEEE Antennas and Wireless Propagation Letters (1 paper)
- Partner nations
- South KoreaJapanUnited States
In The Last Decade
Hanjun Lee
25 papers receiving 349 citations
Peers
Comparison fields: 5 of 63
- Computer Science Applications 32
- Communication 37
- Computer Networks and Communications 118
- Information Systems and Management 34
- Marketing 35
Countries citing papers authored by Hanjun Lee
This map shows the geographic impact of Hanjun 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 Hanjun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanjun Lee more than expected).
Fields of papers citing papers by Hanjun Lee
This network shows the impact of papers produced by Hanjun 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 Hanjun Lee. The network helps show where Hanjun Lee may publish in the future.
Co-authors
The 14 scholars most cited alongside Hanjun 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
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 89 | |
| 2 | 2016 | 78 | |
| 3 | 2018 | 35 | |
| 4 | 2014 | 32 | |
| 5 | 2016 | 19 | |
| 6 | 2022 | 15 | |
| 7 | 2013 | 12 | |
| 8 | 2022 | 10 | |
| 9 | 2018 | 8 | |
| 10 | 2014 | 8 | |
| 11 | The More the Worse? Mining Valuable Ideas with Sentiment Analysis for Idea Recommendation | 2013 | 8 |
| 12 | 2018 | 7 | |
| 13 | 2014 | 7 | |
| 14 | 2015 | 6 | |
| 15 | 2017 | 6 | |
| 16 | 2015 | 6 | |
| 17 | 2018 | 5 | |
| 18 | 2017 | 5 | |
| 19 | 2023 | 2 | |
| 20 | 2016 | 2 |
About Hanjun Lee
Hanjun Lee is a scholar working on Communication, Computer Science Applications, Sociology and Political Science, Information Systems and Management and Organizational Behavior and Human Resource Management, having authored 33 papers that have together received 368 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (13 papers), Knowledge Management and Sharing (6 papers), Sentiment Analysis and Opinion Mining (5 papers), Technology Adoption and User Behaviour (4 papers), Open Source Software Innovations (4 papers), Customer Service Quality and Loyalty (3 papers), Advanced Text Analysis Techniques (3 papers) and Advanced Data Storage Technologies (2 papers). The work is most often cited by research in Computer Science Applications (32 citations), Communication (37 citations), Computer Networks and Communications (118 citations), Information Systems and Management (34 citations) and Marketing (35 citations). Hanjun Lee has collaborated with scholars based in South Korea, Japan and United States. Frequent co-authors include Yongmoo Suh, Jinyoung Han, Keunho Choi, Donghee Yoo, Jinwook Choi, Seung Hee Yoo, Jae-Dong Kim, Hong-Chul Lee, Gil-Young Lee and Anat Hovav. Their work appears in journals such as ACM SIGMIS Database the DATABASE for Advances in Information Systems, Online Information Review, Innovation, Data Technologies and Applications and IEEE Antennas and Wireless Propagation Letters.
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.