Fengbei Liu

8 papers and 202 indexed citations i.

About

Fengbei Liu is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Fengbei Liu has authored 8 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Fengbei Liu’s work include COVID-19 diagnosis using AI (3 papers), Advanced Neural Network Applications (2 papers) and AI in cancer detection (2 papers). Fengbei Liu is often cited by papers focused on COVID-19 diagnosis using AI (3 papers), Advanced Neural Network Applications (2 papers) and AI in cancer detection (2 papers). Fengbei Liu collaborates with scholars based in Australia, United States and United Kingdom. Fengbei Liu's co-authors include Gustavo Carneiro, Yuyuan Liu, Yuanhong Chen, Yu Tian, Vasileios Belagiannis, Gabriel Maicas, Fumio Sasazawa, Ajay K. Pandey, Yu Takeda and Rajvinder Singh and has published in prestigious journals such as IEEE Transactions on Medical Imaging, IEEE Access and Medical Image Analysis.

In The Last Decade

Co-authorship network of co-authors of Fengbei Liu i

Fields of papers citing papers by Fengbei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fengbei Liu

Since Specialization
Citations

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