Dinggang Shen
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Artificial Intelligence
- Pulmonary and Respiratory Medicine
- Topics
- Medical Image Segmentation Techniques (3 papers)Advanced Image and Video Retrieval Techniques (1 paper)Image Retrieval and Classification Techniques (1 paper)
- Journals
- IEEE Transactions on Medical ImagingIEEE Journal of Biomedical and Health InformaticsJournal of Image and Graphics
- Partner nations
- United StatesChinaJapan
In The Last Decade
Dinggang Shen
3 papers receiving 348 citations
Peers
Comparison fields: 5 of 56
- Computer Vision and Pattern Recognition 262
- Radiology, Nuclear Medicine and Imaging 144
- Biomedical Engineering 83
- Artificial Intelligence 79
- Pulmonary and Respiratory Medicine 64
Countries citing papers authored by Dinggang Shen
This map shows the geographic impact of Dinggang 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 Dinggang Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dinggang Shen more than expected).
Fields of papers citing papers by Dinggang Shen
This network shows the impact of papers produced by Dinggang 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 Dinggang Shen. The network helps show where Dinggang Shen may publish in the future.
Co-authorship network of co-authors of Dinggang Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Dinggang Shen. A scholar is included among the top collaborators of Dinggang 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 Dinggang Shen. Dinggang 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 | 0 | |
| 3 | 112 | |
| 4 | 90 | |
| 5 | 160 |
About Dinggang Shen
Dinggang Shen is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 5 papers that have together received 362 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (3 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Image Retrieval and Classification Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (262 citations), Radiology, Nuclear Medicine and Imaging (144 citations) and Neurology (23 citations). Dinggang Shen has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Yiqiang Zhan, Feihu Qi, Guorong Wu, Hidenori Matsuo, Kaori Ito, Yonghong Shi, Zhong Xue, Liya Chen, Fang Zhang and Zhitao Xiao. Their work appears in journals such as IEEE Transactions on Medical Imaging, IEEE Journal of Biomedical and Health Informatics and Journal of Image and Graphics.
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.