Xin Yang

72 papers and 2.7k indexed citations i.

About

Xin Yang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xin Yang has authored 72 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 28 papers in Computer Vision and Pattern Recognition and 20 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xin Yang’s work include Fetal and Pediatric Neurological Disorders (15 papers), Domain Adaptation and Few-Shot Learning (14 papers) and AI in cancer detection (13 papers). Xin Yang is often cited by papers focused on Fetal and Pediatric Neurological Disorders (15 papers), Domain Adaptation and Few-Shot Learning (14 papers) and AI in cancer detection (13 papers). Xin Yang collaborates with scholars based in China, Hong Kong and United Kingdom. Xin Yang's co-authors include Pheng‐Ann Heng, Dong Ni, Jing Qin, Lequan Yu, Tianfu Wang, Hao Chen, Yi Wang, Shengfeng Liu, Shengli Li and Li Liu and has published in prestigious journals such as The American Journal of Cardiology, IEEE Transactions on Medical Imaging and IEEE Access.

In The Last Decade

Co-authorship network of co-authors of Xin Yang i

Fields of papers citing papers by Xin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xin Yang

Since Specialization
Citations

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