Yeqin Shao

About

Yeqin Shao is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Yeqin Shao has authored 34 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 14 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Biomedical Engineering. Recurrent topics in Yeqin Shao’s work include Radiomics and Machine Learning in Medical Imaging (11 papers), Medical Image Segmentation Techniques (10 papers) and Medical Imaging and Analysis (10 papers). Yeqin Shao is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (11 papers), Medical Image Segmentation Techniques (10 papers) and Medical Imaging and Analysis (10 papers). Yeqin Shao collaborates with scholars based in China, United States and South Korea. Yeqin Shao's co-authors include Dinggang Shen, Yaozong Gao, Qian Wang, Lei Xiang, Dong Nie, Huan Zhang, Xuhua Ren, Jun Lian, Xin Yang and Ronald C. Chen and has published in prestigious journals such as IEEE Transactions on Medical Imaging, IEEE Transactions on Biomedical Engineering and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Yeqin Shao i

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Fields of papers citing papers by Yeqin Shao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yeqin Shao. 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 Yeqin Shao. The network helps show where Yeqin Shao may publish in the future.

Countries citing papers authored by Yeqin Shao

Since Specialization

Citations

This map shows the geographic impact of Yeqin Shao'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 Yeqin Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeqin Shao 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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