Yuxing Tang

32 papers and 613 indexed citations i.

About

Yuxing Tang is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yuxing Tang has authored 32 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 15 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yuxing Tang’s work include COVID-19 diagnosis using AI (11 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and AI in cancer detection (9 papers). Yuxing Tang is often cited by papers focused on COVID-19 diagnosis using AI (11 papers), Radiomics and Machine Learning in Medical Imaging (9 papers) and AI in cancer detection (9 papers). Yuxing Tang collaborates with scholars based in United States, China and Hong Kong. Yuxing Tang's co-authors include Ronald M. Summers, Youbao Tang, Jing Xiao, Simon Masnou, Yifan Peng, Zhiyong Lu, Ke Yan, Xiaofang Wang, Emmanuel Dellandréa and Yingying Zhu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Materials Chemistry A and Environmental Pollution.

In The Last Decade

Co-authorship network of co-authors of Yuxing Tang i

Fields of papers citing papers by Yuxing Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yuxing Tang

Since Specialization
Citations

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