Lei Bi

64 papers and 1.3k indexed citations i.

About

Lei Bi is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lei Bi has authored 64 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Radiology, Nuclear Medicine and Imaging, 21 papers in Artificial Intelligence and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lei Bi’s work include Radiomics and Machine Learning in Medical Imaging (25 papers), Medical Imaging Techniques and Applications (20 papers) and AI in cancer detection (20 papers). Lei Bi is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (25 papers), Medical Imaging Techniques and Applications (20 papers) and AI in cancer detection (20 papers). Lei Bi collaborates with scholars based in Australia, China and United States. Lei Bi's co-authors include Dagan Feng, Michael Fulham, Jinman Kim, Ashnil Kumar, Euijoon Ahn, Jinman Kim, Xiaohang Fu, Changyang Li, Mingyuan Meng and Lingfeng Wen and has published in prestigious journals such as NeuroImage, Scientific Reports and Journal of Investigative Dermatology.

In The Last Decade

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

Fields of papers citing papers by Lei Bi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lei Bi

Since Specialization
Citations

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