Tak Yeon Lee
- Artificial Intelligence top 10%
- Computer Science Applications top 5%
- Computer Vision and Pattern Recognition top 10%
- Developmental and Educational Psychology top 10%
- Information Systems top 10%
- Co-authors
- Benjamin B. BedersonJune AhnMatthew Louis MaurielloLeah FindlaterJordan Boyd‐GraberAlison SmithNiklas ElmqvistKevin Seppi
- Topics
- Data Visualization and Analytics (6 papers)Video Analysis and Summarization (4 papers)Educational Games and Gamification (3 papers)
- Cited by
- Computer Science ApplicationsGeneral Social SciencesDevelopmental and Educational Psychology
- Journals
- International Journal of Human-Computer StudiesGovernment Information QuarterlyTransactions of the Association for Computational Linguistics
- Partner nations
- United StatesSouth Korea
In The Last Decade
Tak Yeon Lee
16 papers receiving 295 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 123
- Computer Science Applications 97
- Computer Vision and Pattern Recognition 82
- Developmental and Educational Psychology 70
- Information Systems 55
Countries citing papers authored by Tak Yeon Lee
This map shows the geographic impact of Tak Yeon 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 Tak Yeon Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tak Yeon Lee more than expected).
Fields of papers citing papers by Tak Yeon Lee
This network shows the impact of papers produced by Tak Yeon 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 Tak Yeon Lee. The network helps show where Tak Yeon Lee may publish in the future.
Co-authorship network of co-authors of Tak Yeon Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Tak Yeon Lee. A scholar is included among the top collaborators of Tak Yeon Lee 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 Tak Yeon Lee. Tak Yeon Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 12 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 6 | |
| 9 | 24 | |
| 10 | 23 | |
| 11 | 21 | |
| 12 | 15 | |
| 13 | 64 | |
| 14 | 2 | |
| 15 | 95 | |
| 16 | 17 | |
| 17 | 7 |
About Tak Yeon Lee
Tak Yeon Lee is a scholar working on Computer Science Applications, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 302 indexed citations. Recurring topics across this work include Data Visualization and Analytics (6 papers), Video Analysis and Summarization (4 papers) and Educational Games and Gamification (3 papers). The work is most often cited by research in Computer Science Applications (97 citations), General Social Sciences (19 citations) and Developmental and Educational Psychology (70 citations). Tak Yeon Lee has collaborated with scholars based in United States and South Korea. Frequent co-authors include Benjamin B. Bederson, June Ahn, Matthew Louis Mauriello, Leah Findlater, Jordan Boyd‐Graber, Alison Smith, Niklas Elmqvist, Kevin Seppi, Sungchul Kim and Eunyee Koh. Their work appears in journals such as International Journal of Human-Computer Studies, Government Information Quarterly and Transactions of the Association for Computational Linguistics.
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.