Yoonkyung Lee
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Molecular Biology
- Statistics and Probability top 2%
- Computational Mechanics top 10%
- Co-authors
- Grace WahbaYi LinCheol‐Koo LeeAndrew J. LandgrafSteven A. AckermanJason C. HsuDavid JarjouraChang‐Gong Liu
- Topics
- Face and Expression Recognition (9 papers)Statistical Methods and Inference (5 papers)Advanced Statistical Methods and Models (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationBioinformatics
- Partner nations
- United StatesSouth KoreaEthiopia
In The Last Decade
Yoonkyung Lee
38 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Artificial Intelligence 618
- Computer Vision and Pattern Recognition 423
- Molecular Biology 388
- Statistics and Probability 166
- Computational Mechanics 87
Countries citing papers authored by Yoonkyung Lee
This map shows the geographic impact of Yoonkyung 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 Yoonkyung Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoonkyung Lee more than expected).
Fields of papers citing papers by Yoonkyung Lee
This network shows the impact of papers produced by Yoonkyung 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 Yoonkyung Lee. The network helps show where Yoonkyung Lee may publish in the future.
Co-authorship network of co-authors of Yoonkyung Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Yoonkyung Lee. A scholar is included among the top collaborators of Yoonkyung 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 Yoonkyung Lee. Yoonkyung 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 | 0 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 16 | |
| 7 | 22 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 8 | |
| 11 | 55 | |
| 12 | 0 | |
| 13 | Resistance Up In The Sky: New Forms Of Labor Protest In Neoliberal Korea | 1 |
| 14 | 2 | |
| 15 | South Korean Protest Mobilization: Analysis of Candlelight Protest of 2008 | 1 |
| 16 | 20 | |
| 17 | A Bahadur Representation of the Linear Support Vector Machine | 31 |
| 18 | 97 | |
| 19 | A USER BEHAVIOR MONITORING SYSTEM ON MULTIMEDIA DATA FOR VIRTUAL ENGINEERING ENVIRONMENTS | 2 |
| 20 | 259 |
About Yoonkyung Lee
Yoonkyung Lee is a scholar working on Computational Mathematics, Statistics and Probability and Neuropsychology and Physiological Psychology, having authored 46 papers that have together received 1.5k indexed citations. Recurring topics across this work include Face and Expression Recognition (9 papers), Statistical Methods and Inference (5 papers) and Advanced Statistical Methods and Models (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (423 citations), Statistics and Probability (166 citations) and Artificial Intelligence (618 citations). Yoonkyung Lee has collaborated with scholars based in United States, South Korea and Ethiopia. Frequent co-authors include Grace Wahba, Yi Lin, Cheol‐Koo Lee, Andrew J. Landgraf, Steven A. Ackerman, Jason C. Hsu, David Jarjoura, Chang‐Gong Liu, Amy S. Ruppert and John P. Hagan. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Bioinformatics.
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.