Yangqin Feng

17 papers and 346 indexed citations i.

About

Yangqin Feng is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yangqin Feng has authored 17 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yangqin Feng’s work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and COVID-19 diagnosis using AI (4 papers). Yangqin Feng is often cited by papers focused on AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and COVID-19 diagnosis using AI (4 papers). Yangqin Feng collaborates with scholars based in Singapore, China and United States. Yangqin Feng's co-authors include Lei Zhang, Juan Mo, Lei Zhang, Yi Zhang, Yan Wang, Liangli Zhen, Zizhou Wang, Joey Tianyi Zhou, Rick Siow Mong Goh and Yong Liu and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Frontiers in Psychology and IEEE Transactions on Cybernetics.

In The Last Decade

Co-authorship network of co-authors of Yangqin Feng i

Fields of papers citing papers by Yangqin Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yangqin Feng

Since Specialization
Citations

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