Y. J. Song
- Radiology, Nuclear Medicine and Imaging
- Computer Vision and Pattern Recognition
- Biomedical Engineering
- Periodontics
- Materials Chemistry
- Topics
- Human Pose and Action Recognition (2 papers)Enzyme-mediated dye degradation (1 paper)Infrared Target Detection Methodologies (1 paper)
- Journals
- Applied Physics LettersIEEE Transactions on Intelligent Transportation SystemsEnvironmental Research
- Partner nations
- ChinaItalySouth Korea
In The Last Decade
Y. J. Song
6 papers receiving 47 citations
Peers
Comparison fields: 5 of 34
- Radiology, Nuclear Medicine and Imaging 14
- Computer Vision and Pattern Recognition 13
- Biomedical Engineering 10
- Periodontics 9
- Materials Chemistry 7
Countries citing papers authored by Y. J. Song
This map shows the geographic impact of Y. J. Song'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 Y. J. Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. J. Song more than expected).
Fields of papers citing papers by Y. J. Song
This network shows the impact of papers produced by Y. J. Song. 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 Y. J. Song. The network helps show where Y. J. Song may publish in the future.
Co-authorship network of co-authors of Y. J. Song
This figure shows the co-authorship network connecting the top 25 collaborators of Y. J. Song. A scholar is included among the top collaborators of Y. J. Song 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 Y. J. Song. Y. J. Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 14 | |
| 11 | 6 | |
| 12 | 0 | |
| 13 | 14 |
About Y. J. Song
Y. J. Song is a scholar working on Periodontics, Computer Vision and Pattern Recognition and Fluid Flow and Transfer Processes, having authored 13 papers that have together received 49 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (2 papers), Enzyme-mediated dye degradation (1 paper) and Infrared Target Detection Methodologies (1 paper). The work is most often cited by research in Periodontics (9 citations), Health Informatics (1 citation) and Computer Vision and Pattern Recognition (13 citations). Y. J. Song has collaborated with scholars based in China, Italy and South Korea. Frequent co-authors include Yang Yang, Jianwen Wang, He Tian, Xiao Wu, Xiaojie Wu, Lu Wang, Qiang Peng, Shuwei Liu, Jing Kang and Alideertu Dong. Their work appears in journals such as Applied Physics Letters, IEEE Transactions on Intelligent Transportation Systems and Environmental Research.
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.