Shanhui Sun
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Artificial Intelligence top 10%
- Pulmonary and Respiratory Medicine
- Co-authors
- Reinhard BeichelChristian BauerMilan SonkaHeye ZhangTerrence ChenXin WangZhifan GaoVictor Hugo C. de Albuquerque
- Topics
- Medical Image Segmentation Techniques (15 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)Medical Imaging Techniques and Applications (5 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingComputer Vision and Pattern RecognitionOtorhinolaryngology
- Partner nations
- United StatesChinaCanada
In The Last Decade
Shanhui Sun
27 papers receiving 658 citations
Peers
Comparison fields: 5 of 93
- Radiology, Nuclear Medicine and Imaging 361
- Computer Vision and Pattern Recognition 265
- Biomedical Engineering 140
- Artificial Intelligence 139
- Pulmonary and Respiratory Medicine 123
Countries citing papers authored by Shanhui Sun
This map shows the geographic impact of Shanhui Sun'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 Shanhui Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shanhui Sun more than expected).
Fields of papers citing papers by Shanhui Sun
This network shows the impact of papers produced by Shanhui Sun. 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 Shanhui Sun. The network helps show where Shanhui Sun may publish in the future.
Co-authorship network of co-authors of Shanhui Sun
This figure shows the co-authorship network connecting the top 25 collaborators of Shanhui Sun. A scholar is included among the top collaborators of Shanhui Sun 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 Shanhui Sun. Shanhui Sun 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 | 1 | |
| 3 | 6 | |
| 4 | 37 | |
| 5 | 37 | |
| 6 | 86 | |
| 7 | 46 | |
| 8 | Holistic and Deep Feature Pyramids for Saliency Detection. | 15 |
| 9 | 9 | |
| 10 | 7 | |
| 11 | 24 | |
| 12 | 19 | |
| 13 | 2 | |
| 14 | 6 | |
| 15 | 20 | |
| 16 | 56 | |
| 17 | 6 | |
| 18 | 11 | |
| 19 | 143 | |
| 20 | 2 |
About Shanhui Sun
Shanhui Sun is a scholar working on Computer Vision and Pattern Recognition, Otorhinolaryngology and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 677 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (15 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Medical Imaging Techniques and Applications (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (361 citations), Computer Vision and Pattern Recognition (265 citations) and Otorhinolaryngology (36 citations). Shanhui Sun has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Reinhard Beichel, Christian Bauer, Milan Sonka, Heye Zhang, Terrence Chen, Xin Wang, Zhifan Gao, Victor Hugo C. de Albuquerque, Youbing Yin and Xin Liu. Their work appears in journals such as IEEE Access, IEEE Transactions on Medical Imaging and Human Reproduction.
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.