Yuna Jeong
- Computer Vision and Pattern Recognition
- Artificial Intelligence
- Computer Networks and Communications
- Cardiology and Cardiovascular Medicine
- Information Systems
- Co-authors
- Sungkil LeeDongkun ShinKyung Lib JangWon-Kyung SungHye-Seong LeeDanielle van HoutMyunggwon HwangMyung Ho Jeong
- Topics
- Advanced Vision and Imaging (4 papers)Computer Graphics and Visualization Techniques (3 papers)Machine Learning and Data Classification (3 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionSensory Systems
- Partner nations
- South KoreaNetherlandsUnited States
In The Last Decade
Yuna Jeong
20 papers receiving 124 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 28
- Artificial Intelligence 25
- Computer Networks and Communications 20
- Cardiology and Cardiovascular Medicine 12
- Information Systems 12
Countries citing papers authored by Yuna Jeong
This map shows the geographic impact of Yuna Jeong'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 Yuna Jeong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuna Jeong more than expected).
Fields of papers citing papers by Yuna Jeong
This network shows the impact of papers produced by Yuna Jeong. 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 Yuna Jeong. The network helps show where Yuna Jeong may publish in the future.
Co-authorship network of co-authors of Yuna Jeong
This figure shows the co-authorship network connecting the top 25 collaborators of Yuna Jeong. A scholar is included among the top collaborators of Yuna Jeong 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 Yuna Jeong. Yuna Jeong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 11 | |
| 3 | 5 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 12 | |
| 7 | 5 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | 8 | |
| 12 | 8 | |
| 13 | 1 | |
| 14 | 10 | |
| 15 | 1 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 29 | |
| 19 | 3 | |
| 20 | 1 |
About Yuna Jeong
Yuna Jeong is a scholar working on Computer Graphics and Computer-Aided Design, Computer Science Applications and Computer Vision and Pattern Recognition, having authored 23 papers that have together received 129 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Computer Graphics and Visualization Techniques (3 papers) and Machine Learning and Data Classification (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (7 citations), Computer Vision and Pattern Recognition (28 citations) and Sensory Systems (6 citations). Yuna Jeong has collaborated with scholars based in South Korea, Netherlands and United States. Frequent co-authors include Sungkil Lee, Dongkun Shin, Kyung Lib Jang, Won-Kyung Sung, Hye-Seong Lee, Danielle van Hout, Myunggwon Hwang, Myung Ho Jeong, Kye Hun Kim and Hyunjin Lee. Their work appears in journals such as FEBS Letters, Environmental Pollution and International Journal of Molecular Sciences.
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.