Tak Yeon Lee

9 papers and 190 indexed citations i.

About

Tak Yeon Lee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, Tak Yeon Lee has authored 9 papers receiving a total of 190 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Computer Science Applications. Recurrent topics in Tak Yeon Lee’s work include Data Visualization and Analytics (5 papers), Video Analysis and Summarization (2 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). Tak Yeon Lee is often cited by papers focused on Data Visualization and Analytics (5 papers), Video Analysis and Summarization (2 papers) and Mobile Crowdsensing and Crowdsourcing (2 papers). Tak Yeon Lee collaborates with scholars based in United States and South Korea. Tak Yeon Lee's co-authors include Benjamin B. Bederson, Matthew Louis Mauriello, June Ahn, Niklas Elmqvist, Jordan Boyd‐Graber, Alison Smith, Leah Findlater, Kevin Seppi, Casey Dugan and Werner Geyer and has published in prestigious journals such as IEEE Transactions on Visualization and Computer Graphics, International Journal of Human-Computer Studies and Government Information Quarterly.

In The Last Decade

Co-authorship network of co-authors of Tak Yeon Lee i

Fields of papers citing papers by Tak Yeon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Tak Yeon Lee

Since Specialization
Citations

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).

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2025