Jun Shi

171 papers and 3.8k indexed citations i.

About

Jun Shi is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Jun Shi has authored 171 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Radiology, Nuclear Medicine and Imaging, 62 papers in Artificial Intelligence and 45 papers in Biomedical Engineering. Recurrent topics in Jun Shi’s work include AI in cancer detection (45 papers), Radiomics and Machine Learning in Medical Imaging (33 papers) and Muscle activation and electromyography studies (17 papers). Jun Shi is often cited by papers focused on AI in cancer detection (45 papers), Radiomics and Machine Learning in Medical Imaging (33 papers) and Muscle activation and electromyography studies (17 papers). Jun Shi collaborates with scholars based in China, Hong Kong and United States. Jun Shi's co-authors include Shihui Ying, Jun Wang, Dinggang Shen, Qi Zhang, Qian Wang, Zhenyu Tang, Yinghuan Shi, Ziyan Wu, Kelei He and Feng Shi and has published in prestigious journals such as Annals of the Rheumatic Diseases, Gene and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Jun Shi i

Fields of papers citing papers by Jun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Shi

Since Specialization
Citations

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