Jianbing Shen
- Computer Vision and Pattern Recognition top 0.05%
- Artificial Intelligence top 0.5%
- Radiology, Nuclear Medicine and Imaging top 1%
- Biomedical Engineering top 5%
- Aerospace Engineering top 2%
- Topics
- Advanced Neural Network Applications (30 papers)Video Surveillance and Tracking Methods (23 papers)Visual Attention and Saliency Detection (21 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingIEEE Transactions on Medical Imaging
- Partner nations
- ChinaUnited Arab EmiratesMacao
In The Last Decade
Jianbing Shen
82 papers receiving 7.8k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Computer Vision and Pattern Recognition 6.1k
- Artificial Intelligence 1.6k
- Radiology, Nuclear Medicine and Imaging 1.0k
- Biomedical Engineering 816
- Aerospace Engineering 583
Countries citing papers authored by Jianbing Shen
This map shows the geographic impact of Jianbing Shen'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 Jianbing Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianbing Shen more than expected).
Fields of papers citing papers by Jianbing Shen
This network shows the impact of papers produced by Jianbing Shen. 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 Jianbing Shen. The network helps show where Jianbing Shen may publish in the future.
Co-authorship network of co-authors of Jianbing Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Jianbing Shen. A scholar is included among the top collaborators of Jianbing Shen 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 Jianbing Shen. Jianbing Shen 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 | 1 | |
| 4 | 5 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 9 | |
| 8 | 8 | |
| 9 | 14 | |
| 10 | 7 | |
| 11 | 50 | |
| 12 | 39 | |
| 13 | 6 | |
| 14 | 95 | |
| 15 | Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans | 22 |
| 16 | Understanding and Correcting Low-quality Retinal Fundus Images for Clinical Analysis. | 6 |
| 17 | 51 | |
| 18 | Quadruplet Network with One-Shot Learning for Visual Tracking. | 1 |
| 19 | 39 | |
| 20 | MAGIC CUBE TRANSFORMATION AND ITS APPLICATION IN DIGITAL IMAGE ENCRYPTION | 8 |
About Jianbing Shen
Jianbing Shen is a scholar working on Computer Vision and Pattern Recognition, Sensory Systems and Artificial Intelligence, having authored 85 papers that have together received 7.9k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (30 papers), Video Surveillance and Tracking Methods (23 papers) and Visual Attention and Saliency Detection (21 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (6.1k citations), Health Informatics (94 citations) and Media Technology (560 citations). Jianbing Shen has collaborated with scholars based in China, United Arab Emirates and Macao. Frequent co-authors include Ling Shao, Mang Ye, Wenguan Wang, Steven C. H. Hoi, Huazhu Fu, Tao Xiang, Deng-Ping Fan, Ge-Peng Ji, Haibin Ling and Tao Zhou. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.
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.