Yun-Su Chung
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 10%
- Media Technology top 5%
- Information Systems top 10%
- Computer Networks and Communications
- Co-authors
- Kwang‐Ju KimPyong-Kun KimDoo-Hyun ChoiJong Taek LeeKiyoung MoonDongkyun KimYongjin LeeSoo In Lee
- Topics
- Biometric Identification and Security (6 papers)Vehicle License Plate Recognition (6 papers)Face and Expression Recognition (6 papers)
- Journals
- IEEE AccessInternational Journal of Distributed Sensor NetworksJournal of Pharmaceutical Investigation
- Partner nations
- South KoreaUnited States
In The Last Decade
Yun-Su Chung
28 papers receiving 331 citations
Peers
Comparison fields: 5 of 54
- Computer Vision and Pattern Recognition 241
- Signal Processing 90
- Media Technology 72
- Information Systems 68
- Computer Networks and Communications 44
Countries citing papers authored by Yun-Su Chung
This map shows the geographic impact of Yun-Su Chung'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 Yun-Su Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun-Su Chung more than expected).
Fields of papers citing papers by Yun-Su Chung
This network shows the impact of papers produced by Yun-Su Chung. 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 Yun-Su Chung. The network helps show where Yun-Su Chung may publish in the future.
Co-authorship network of co-authors of Yun-Su Chung
This figure shows the co-authorship network connecting the top 25 collaborators of Yun-Su Chung. A scholar is included among the top collaborators of Yun-Su Chung 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 Yun-Su Chung. Yun-Su Chung 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 | 59 | |
| 3 | 35 | |
| 4 | 9 | |
| 5 | 7 | |
| 6 | 13 | |
| 7 | 28 | |
| 8 | 5 | |
| 9 | 32 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | Reconstructing Occluded Facial Components using Support Vector Data Description | 1 |
| 13 | 30 | |
| 14 | 8 | |
| 15 | 10 | |
| 16 | Face Recognition Based on the Selection Method of Facial Valid Vector in DCT Domain | 1 |
| 17 | 10 | |
| 18 | Microcalcification Segmentation by Automatically Thresholded Region Growing Using Edge Sharpness and Contrast | 1 |
| 19 | A Single Camera based Method for Cubing Rectangular Parallelepiped Objects | 3 |
| 20 | Quantitative Analysis of Pyridostigmine Bromide in Tablets by HPLC | 1 |
About Yun-Su Chung
Yun-Su Chung is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 29 papers that have together received 363 indexed citations. Recurring topics across this work include Biometric Identification and Security (6 papers), Vehicle License Plate Recognition (6 papers) and Face and Expression Recognition (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (241 citations), Signal Processing (90 citations) and Media Technology (72 citations). Yun-Su Chung has collaborated with scholars based in South Korea and United States. Frequent co-authors include Kwang‐Ju Kim, Pyong-Kun Kim, Doo-Hyun Choi, Jong Taek Lee, Kiyoung Moon, Dongkyun Kim, Yongjin Lee, Soo In Lee, Seong G. Kong and Jang-Woon Baek. Their work appears in journals such as IEEE Access, International Journal of Distributed Sensor Networks and Journal of Pharmaceutical Investigation.
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.