Baiying Lei

256 papers and 6.6k indexed citations i.

About

Baiying Lei is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Baiying Lei has authored 256 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 99 papers in Artificial Intelligence, 89 papers in Computer Vision and Pattern Recognition and 86 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Baiying Lei’s work include AI in cancer detection (61 papers), Radiomics and Machine Learning in Medical Imaging (32 papers) and Functional Brain Connectivity Studies (29 papers). Baiying Lei is often cited by papers focused on AI in cancer detection (61 papers), Radiomics and Machine Learning in Medical Imaging (32 papers) and Functional Brain Connectivity Studies (29 papers). Baiying Lei collaborates with scholars based in China, Hong Kong and United States. Baiying Lei's co-authors include Tianfu Wang, Dong Ni, Siping Chen, Feng Zhou, Jing Qin, Shuqiang Wang, Ahmed Elazab, Haijun Lei, Jie‐Zhi Cheng and Huisi Wu and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Baiying Lei i

Fields of papers citing papers by Baiying Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Baiying Lei

Since Specialization
Citations

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