Fei Mao

8 papers and 255 indexed citations i.

About

Fei Mao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Fei Mao has authored 8 papers receiving a total of 255 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Fei Mao’s work include Medical Image Segmentation Techniques (3 papers), AI in cancer detection (3 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). Fei Mao is often cited by papers focused on Medical Image Segmentation Techniques (3 papers), AI in cancer detection (3 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). Fei Mao collaborates with scholars based in United States and Canada. Fei Mao's co-authors include Aaron Fenster, Dónal B. Downey, Hanif M. Ladak, David A. Steinman, Yunqiu Wang, Laurence P. Clarke, Wei Qian, Lihua Li, Wei‐Guang Ding and Graham W. Taylor and has published in prestigious journals such as Medical Physics, Academic Radiology and Computerized Medical Imaging and Graphics.

In The Last Decade

Co-authorship network of co-authors of Fei Mao i

Fields of papers citing papers by Fei Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Fei Mao

Since Specialization
Citations

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