Shuang Song

41 papers and 391 indexed citations i.

About

Shuang Song is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Shuang Song has authored 41 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 8 papers in Computer Vision and Pattern Recognition and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Shuang Song’s work include Cerebrovascular and Carotid Artery Diseases (6 papers), Medical Image Segmentation Techniques (6 papers) and Gynecological conditions and treatments (6 papers). Shuang Song is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (6 papers), Medical Image Segmentation Techniques (6 papers) and Gynecological conditions and treatments (6 papers). Shuang Song collaborates with scholars based in China, United States and United Kingdom. Shuang Song's co-authors include Joseph Katz, Lan Zhu, Jan S. Moreb, Lawrence J. Lesko, Yan Gong, Issam S. Hamadeh, Taimour Langaee, Elena Losina, Xiaoyan Zhang and Na Chen and has published in prestigious journals such as Nature Communications, PLoS ONE and Journal of Allergy and Clinical Immunology.

In The Last Decade

Co-authorship network of co-authors of Shuang Song i

Fields of papers citing papers by Shuang Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shuang Song

Since Specialization
Citations

This map shows the geographic impact of Shuang Song'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 Shuang Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuang Song 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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2025