O‐Joun Lee
Impact in
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- Video Analysis and Summarization
- Signal Processing top 10%
- Music and Audio Processing
Papers in
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- Topic Modeling 6
- Advanced Graph Neural Networks 6
- Artificial Intelligence in Games 5
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- Video Analysis and Summarization 13
- Co-authors
- Jason J. Jung (14 shared papers)Jai E. Jung (8 shared papers)Hae Gyun Lim (7 shared papers)Jin Taek Kim (9 shared papers)K. Kirk Shung (3 shared papers)Hoàng Long Nguyễn (3 shared papers)Hyung Ham Kim (2 shared papers)Dosam Hwang (1 shared paper)
- Journals
- IEEE Access (8 papers)Sensors (3 papers)Multimedia Tools and Applications (2 papers)Future Generation Computer Systems (2 papers)Scientific Reports (2 papers)
- Partner nations
- South KoreaVietnamUnited States
In The Last Decade
O‐Joun Lee
52 papers receiving 435 citations
Peers
Comparison fields: 5 of 97
- Computer Vision and Pattern Recognition 116
- Signal Processing 59
- Artificial Intelligence 172
- Statistical and Nonlinear Physics 65
- Health Informatics 4
Countries citing papers authored by O‐Joun Lee
This map shows the geographic impact of O‐Joun 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 O‐Joun Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites O‐Joun Lee more than expected).
Fields of papers citing papers by O‐Joun Lee
This network shows the impact of papers produced by O‐Joun 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 O‐Joun Lee. The network helps show where O‐Joun Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside O‐Joun 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 35 | |
| 2 | 2016 | 28 | |
| 3 | 2023 | 23 | |
| 4 | 2020 | 22 | |
| 5 | 2018 | 21 | |
| 6 | 2017 | 21 | |
| 7 | 2019 | 19 | |
| 8 | 2020 | 18 | |
| 9 | 2024 | 17 | |
| 10 | 2016 | 16 | |
| 11 | 2023 | 16 | |
| 12 | 2022 | 14 | |
| 13 | 2017 | 13 | |
| 14 | Explainable Movie Recommendation Systems by using Story-based Similarity. | 2018 | 13 |
| 15 | 2022 | 13 | |
| 16 | 2022 | 12 | |
| 17 | 2014 | 12 | |
| 18 | 2020 | 10 | |
| 19 | 2019 | 10 | |
| 20 | 2020 | 9 |
About O‐Joun Lee
O‐Joun Lee is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Sociology and Political Science, Information Systems and Signal Processing, having authored 59 papers that have together received 456 indexed citations. Recurring topics across this work include Video Analysis and Summarization (13 papers), Recommender Systems and Techniques (9 papers), Music and Audio Processing (7 papers), Complex Network Analysis Techniques (7 papers), Topic Modeling (6 papers), Advanced Graph Neural Networks (6 papers), Multimedia Communication and Technology (5 papers) and Artificial Intelligence in Games (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (116 citations), Signal Processing (59 citations), Artificial Intelligence (172 citations), Statistical and Nonlinear Physics (65 citations) and Health Informatics (4 citations). O‐Joun Lee has collaborated with scholars based in South Korea, Vietnam and United States. Frequent co-authors include Jason J. Jung, Jai E. Jung, Hae Gyun Lim, Jin Taek Kim, K. Kirk Shung, Hoàng Long Nguyễn, Hyung Ham Kim, Dosam Hwang, Tai‐Won Um and Yoewon Yoon. Their work appears in journals such as IEEE Access, Sensors, Multimedia Tools and Applications, Future Generation Computer Systems and Scientific Reports.
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.