Yonghong Shi
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Pulmonary and Respiratory Medicine
- Biomedical Engineering
- Topics
- Medical Image Segmentation Techniques (16 papers)Radiomics and Machine Learning in Medical Imaging (9 papers)Advanced MRI Techniques and Applications (5 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingHealth InformaticsComputer Vision and Pattern Recognition
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Yonghong Shi
28 papers receiving 637 citations
Peers
Comparison fields: 5 of 83
- Radiology, Nuclear Medicine and Imaging 431
- Computer Vision and Pattern Recognition 211
- Artificial Intelligence 167
- Pulmonary and Respiratory Medicine 153
- Biomedical Engineering 90
Countries citing papers authored by Yonghong Shi
This map shows the geographic impact of Yonghong Shi'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 Yonghong Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yonghong Shi more than expected).
Fields of papers citing papers by Yonghong Shi
This network shows the impact of papers produced by Yonghong Shi. 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 Yonghong Shi. The network helps show where Yonghong Shi may publish in the future.
Co-authorship network of co-authors of Yonghong Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Yonghong Shi. A scholar is included among the top collaborators of Yonghong Shi 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 Yonghong Shi. Yonghong Shi 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 | 4 | |
| 3 | 18 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 246 | |
| 7 | 1 | |
| 8 | 28 | |
| 9 | 11 | |
| 10 | 5 | |
| 11 | 38 | |
| 12 | 5 | |
| 13 | 22 | |
| 14 | 1 | |
| 15 | 5 | |
| 16 | 16 | |
| 17 | 17 | |
| 18 | 112 | |
| 19 | 5 | |
| 20 | 1 |
About Yonghong Shi
Yonghong Shi is a scholar working on Computer Vision and Pattern Recognition, Health Informatics and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 661 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (16 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and Advanced MRI Techniques and Applications (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (431 citations), Health Informatics (25 citations) and Computer Vision and Pattern Recognition (211 citations). Yonghong Shi has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Zhijian Song, Demin Yao, Chunli Qin, Dinggang Shen, Feihu Qi, Zhong Xue, Kaori Ito, Hidenori Matsuo, Dinggang Shen and Liya Chen. Their work appears in journals such as Scientific Reports, IEEE Transactions on Medical Imaging and Pattern Recognition.
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.