Yeong-Gil Shin
- Radiology, Nuclear Medicine and Imaging top 10%
- Computer Vision and Pattern Recognition top 5%
- Oral Surgery top 5%
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Co-authors
- Jeongjin LeeMuhammad UsmanMin-Kyung LeeBohyoung KimByoung-Dai LeeSunghyun KimZhiqiang MaJinwook Seo
- Topics
- Medical Image Segmentation Techniques (21 papers)Medical Imaging Techniques and Applications (12 papers)Dental Radiography and Imaging (10 papers)
- Partner nations
- South KoreaPuerto RicoUnited States
In The Last Decade
Yeong-Gil Shin
46 papers receiving 476 citations
Peers
Comparison fields: 5 of 74
- Radiology, Nuclear Medicine and Imaging 220
- Computer Vision and Pattern Recognition 155
- Oral Surgery 151
- Biomedical Engineering 135
- Pulmonary and Respiratory Medicine 79
Countries citing papers authored by Yeong-Gil Shin
This map shows the geographic impact of Yeong-Gil Shin'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 Yeong-Gil Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeong-Gil Shin more than expected).
Fields of papers citing papers by Yeong-Gil Shin
This network shows the impact of papers produced by Yeong-Gil Shin. 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 Yeong-Gil Shin. The network helps show where Yeong-Gil Shin may publish in the future.
Co-authorship network of co-authors of Yeong-Gil Shin
This figure shows the co-authorship network connecting the top 25 collaborators of Yeong-Gil Shin. A scholar is included among the top collaborators of Yeong-Gil Shin 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 Yeong-Gil Shin. Yeong-Gil Shin 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 | 3 | |
| 3 | 24 | |
| 4 | 0 | |
| 5 | 7 | |
| 6 | 8 | |
| 7 | 10 | |
| 8 | 2 | |
| 9 | 24 | |
| 10 | Deeply Self-Supervising Edge-to-Contour Neural Network Applied to Liver Segmentation. | 2 |
| 11 | 0 | |
| 12 | 12 | |
| 13 | 4 | |
| 14 | 5 | |
| 15 | 1 | |
| 16 | 14 | |
| 17 | 29 | |
| 18 | 15 | |
| 19 | Efficient Marker-based Registration Method Using Projection Model Estimation with a Gaussian Weighting Function for TEM Image Alignment. | 1 |
| 20 | Automatic Lung Segmentation using Hybrid Approach | 0 |
About Yeong-Gil Shin
Yeong-Gil Shin is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Oral Surgery, having authored 53 papers that have together received 495 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (21 papers), Medical Imaging Techniques and Applications (12 papers) and Dental Radiography and Imaging (10 papers). The work is most often cited by research in Oral Surgery (151 citations), Radiology, Nuclear Medicine and Imaging (220 citations) and Health Informatics (12 citations). Yeong-Gil Shin has collaborated with scholars based in South Korea, Puerto Rico and United States. Frequent co-authors include Jeongjin Lee, Muhammad Usman, Min-Kyung Lee, Bohyoung Kim, Byoung-Dai Lee, Sunghyun Kim, Zhiqiang Ma, Jinwook Seo, Jusang Lee and Ho Chul Kang. Their work appears in journals such as Scientific Reports, IEEE Access and IEEE Transactions on Biomedical Engineering.
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.