Shunbo Hu
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging
- Neurology top 10%
- Artificial Intelligence
- Biomedical Engineering
- Co-authors
- Liang WuChangchun LiuWenyin ZhangBo YangYong WuSahraoui DhelimYue YangDinggang Shen
- Topics
- Medical Image Segmentation Techniques (27 papers)Advanced Neural Network Applications (9 papers)Brain Tumor Detection and Classification (8 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Shunbo Hu
38 papers receiving 297 citations
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 156
- Radiology, Nuclear Medicine and Imaging 100
- Neurology 75
- Artificial Intelligence 66
- Biomedical Engineering 55
Countries citing papers authored by Shunbo Hu
This map shows the geographic impact of Shunbo Hu'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 Shunbo Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shunbo Hu more than expected).
Fields of papers citing papers by Shunbo Hu
This network shows the impact of papers produced by Shunbo Hu. 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 Shunbo Hu. The network helps show where Shunbo Hu may publish in the future.
Co-authorship network of co-authors of Shunbo Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Shunbo Hu. A scholar is included among the top collaborators of Shunbo Hu 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 Shunbo Hu. Shunbo Hu 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 | 0 | |
| 4 | 0 | |
| 5 | 16 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 19 | |
| 12 | 1 | |
| 13 | 6 | |
| 14 | 6 | |
| 15 | 30 | |
| 16 | 0 | |
| 17 | 16 | |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 1 |
About Shunbo Hu
Shunbo Hu is a scholar working on Computer Vision and Pattern Recognition, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 47 papers that have together received 310 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (27 papers), Advanced Neural Network Applications (9 papers) and Brain Tumor Detection and Classification (8 papers). The work is most often cited by research in Neurology (75 citations), Computer Vision and Pattern Recognition (156 citations) and Radiology, Nuclear Medicine and Imaging (100 citations). Shunbo Hu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Liang Wu, Changchun Liu, Wenyin Zhang, Bo Yang, Yong Wu, Sahraoui Dhelim, Yue Yang, Dinggang Shen, Mingtao Liu and Peng Shao. Their work appears in journals such as IEEE Access, Sensors and Physics in Medicine and Biology.
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.