Dinggang Shen

About

Dinggang Shen is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Dinggang Shen has authored 4 papers receiving a total of 325 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 2 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Biomedical Engineering. Recurrent topics in Dinggang Shen’s work include Medical Image Segmentation Techniques (3 papers), COVID-19 diagnosis using AI (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). Dinggang Shen is often cited by papers focused on Medical Image Segmentation Techniques (3 papers), COVID-19 diagnosis using AI (1 paper) and Advanced Image and Video Retrieval Techniques (1 paper). Dinggang Shen collaborates with scholars based in United States, China and Japan. Dinggang Shen's co-authors include Yiqiang Zhan, Feihu Qi, Guorong Wu, Zhong Xue, Yonghong Shi, Hidenori Matsuo, Liya Chen, Kaori Ito, Feihong Liu and Jiameng Liu and has published in prestigious journals such as IEEE Transactions on Medical Imaging and IEEE Journal of Biomedical and Health Informatics.

In The Last Decade

Co-authorship network of co-authors of Dinggang Shen i

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Fields of papers citing papers by Dinggang Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Dinggang Shen

Since Specialization

Citations

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).

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.

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