Il Dong Yun
- Computer Vision and Pattern Recognition top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 10%
- Signal Processing top 5%
- Biomedical Engineering
- Co-authors
- Sang Uk LeeSoochahn LeeKyoung Mu LeeSeung Yeon ShinSang Ho ParkHackjoon ShimNam Ik ChoKyong Joon Lee
- Topics
- Medical Image Segmentation Techniques (20 papers)Advanced Image and Video Retrieval Techniques (14 papers)Advanced Vision and Imaging (13 papers)
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingComputer Graphics and Computer-Aided Design
- Journals
- PLoS ONERadiologyIEEE Access
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Il Dong Yun
73 papers receiving 978 citations
Peers
Comparison fields: 5 of 118
- Computer Vision and Pattern Recognition 542
- Radiology, Nuclear Medicine and Imaging 255
- Artificial Intelligence 197
- Signal Processing 157
- Biomedical Engineering 114
Countries citing papers authored by Il Dong Yun
This map shows the geographic impact of Il Dong Yun'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 Il Dong Yun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Il Dong Yun more than expected).
Fields of papers citing papers by Il Dong Yun
This network shows the impact of papers produced by Il Dong Yun. 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 Il Dong Yun. The network helps show where Il Dong Yun may publish in the future.
Co-authorship network of co-authors of Il Dong Yun
This figure shows the co-authorship network connecting the top 25 collaborators of Il Dong Yun. A scholar is included among the top collaborators of Il Dong Yun 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 Il Dong Yun. Il Dong Yun 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 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 158 | |
| 6 | 19 | |
| 7 | 85 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 6 | |
| 11 | 26 | |
| 12 | 2 | |
| 13 | 41 | |
| 14 | 11 | |
| 15 | 29 | |
| 16 | 9 | |
| 17 | 23 | |
| 18 | 1 | |
| 19 | Triangular Mesh Segmentation Based On Surface Normal | 2 |
| 20 | 7 |
About Il Dong Yun
Il Dong Yun is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 77 papers that have together received 1.0k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (20 papers), Advanced Image and Video Retrieval Techniques (14 papers) and Advanced Vision and Imaging (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (542 citations), Signal Processing (157 citations) and Computer Graphics and Computer-Aided Design (42 citations). Il Dong Yun has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Sang Uk Lee, Soochahn Lee, Kyoung Mu Lee, Seung Yeon Shin, Sang Ho Park, Hackjoon Shim, Nam Ik Cho, Kyong Joon Lee, In Kyu Park and Sang‐Uk Lee. Their work appears in journals such as PLoS ONE, Radiology and IEEE Access.
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.