Ruibin Feng

10 papers and 259 indexed citations i.

About

Ruibin Feng is a scholar working on Artificial Intelligence, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ruibin Feng has authored 10 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 4 papers in Cardiology and Cardiovascular Medicine and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ruibin Feng’s work include AI in cancer detection (3 papers), Medical Image Segmentation Techniques (2 papers) and Advanced Neural Network Applications (2 papers). Ruibin Feng is often cited by papers focused on AI in cancer detection (3 papers), Medical Image Segmentation Techniques (2 papers) and Advanced Neural Network Applications (2 papers). Ruibin Feng collaborates with scholars based in United States, The Netherlands and China. Ruibin Feng's co-authors include Jianming Liang, Michael B. Gotway, Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Yoshua Bengio, Fatemeh Haghighi, J. Shin, Christopher B. Kendall and R. Todd Hurst and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Lecture notes in computer science.

In The Last Decade

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

Fields of papers citing papers by Ruibin Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ruibin Feng

Since Specialization
Citations

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