Xiang Yu

39 papers and 1.2k indexed citations i.

About

Xiang Yu is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Xiang Yu has authored 39 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 15 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Xiang Yu’s work include AI in cancer detection (14 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and COVID-19 diagnosis using AI (6 papers). Xiang Yu is often cited by papers focused on AI in cancer detection (14 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and COVID-19 diagnosis using AI (6 papers). Xiang Yu collaborates with scholars based in China, United Kingdom and United States. Xiang Yu's co-authors include Yudong Zhang, Shuihua Wang‎, Qinghua Zhou, J. M. Górriz, Dieter Fox, Xujing Yao, C. Jiménez-Mesa, Francisco J. Martínez, Min Li and Arsalan Mousavian and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Power Electronics.

In The Last Decade

Co-authorship network of co-authors of Xiang Yu i

Fields of papers citing papers by Xiang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xiang Yu

Since Specialization
Citations

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