Hanjun Lee
Impact in
- Computer Science Applications top 10%
- Open Source Software Innovations
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- Technology Adoption and User Behaviour
Papers in
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- Digital Marketing and Social Media 12
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- Knowledge Management and Sharing 6
- Co-authors
- Yongmoo Suh (11 shared papers)Jinyoung Han (3 shared papers)Keunho Choi (3 shared papers)Donghee Yoo (3 shared papers)Jae-Dong Kim (3 shared papers)Jinwook Choi (1 shared paper)Seung Hee Yoo (1 shared paper)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)IEEE Antennas and Wireless Propagation Letters (1 paper)Computers in Human Behavior (1 paper)
- Partner nations
- South KoreaJapan
In The Last Decade
Hanjun Lee
22 papers receiving 166 citations
Peers
Comparison fields: 5 of 49
- Computer Science Applications 31
- Information Systems and Management 32
- Communication 32
- Marketing 30
- Sociology and Political Science 81
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 31 | |
| 2 | 2014 | 28 | |
| 3 | 2016 | 18 | |
| 4 | 2022 | 13 | |
| 5 | 2013 | 10 | |
| 6 | 2022 | 8 | |
| 7 | 2018 | 8 | |
| 8 | 2014 | 7 | |
| 9 | 2015 | 6 | |
| 10 | 2014 | 6 | |
| 11 | 2017 | 6 | |
| 12 | 2018 | 6 | |
| 13 | The More the Worse? Mining Valuable Ideas with Sentiment Analysis for Idea Recommendation | 2013 | 5 |
| 14 | 2015 | 5 | |
| 15 | 2018 | 5 | |
| 16 | 2017 | 5 | |
| 17 | 2023 | 2 | |
| 18 | 2016 | 2 | |
| 19 | 2019 | 2 | |
| 20 | The Tools We Don’t Have: Future and Current Inventory Management in a Room Reservation System | 2018 | 1 |
About Hanjun Lee
Hanjun Lee is a scholar working on Sociology and Political Science, Communication, Artificial Intelligence, Aerospace Engineering and Computer Science Applications, having authored 27 papers that have together received 178 indexed citations. Recurring topics across this work include Digital Marketing and Social Media (12 papers), Knowledge Management and Sharing (6 papers), Sentiment Analysis and Opinion Mining (5 papers), Open Source Software Innovations (4 papers), Technology Adoption and User Behaviour (3 papers), Advanced Text Analysis Techniques (3 papers), Customer Service Quality and Loyalty (3 papers) and Technology and Data Analysis (2 papers). The work is most often cited by research in Computer Science Applications (31 citations), Information Systems and Management (32 citations), Communication (32 citations), Marketing (30 citations) and Sociology and Political Science (81 citations). Hanjun Lee has collaborated with scholars based in South Korea and Japan. Frequent co-authors include Yongmoo Suh, Jinyoung Han, Keunho Choi, Donghee Yoo, Jae-Dong Kim, Jinwook Choi, Seung Hee Yoo, 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, IEEE Antennas and Wireless Propagation Letters and Computers in Human Behavior.
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.