Shuo Yan

23 papers and 434 indexed citations i.

About

Shuo Yan is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Oncology. According to data from OpenAlex, Shuo Yan has authored 23 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Epidemiology and 5 papers in Oncology. Recurrent topics in Shuo Yan’s work include Advanced X-ray and CT Imaging (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and COVID-19 diagnosis using AI (3 papers). Shuo Yan is often cited by papers focused on Advanced X-ray and CT Imaging (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and COVID-19 diagnosis using AI (3 papers). Shuo Yan collaborates with scholars based in China, United States and Singapore. Shuo Yan's co-authors include Hui Chen, Yan Du, Zhen‐Ni Guo, Yi Yang, Yingqi Xing, Hang Jin, Jia Liu, Ruming Xie, Shouchun Wang and Shuang Xia and has published in prestigious journals such as PLoS ONE, Hypertension and Medicine.

In The Last Decade

Co-authorship network of co-authors of Shuo Yan i

Fields of papers citing papers by Shuo Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shuo Yan

Since Specialization
Citations

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