Lequan Yu

95 papers and 6.1k indexed citations i.

About

Lequan Yu is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Lequan Yu has authored 95 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Computer Vision and Pattern Recognition, 47 papers in Radiology, Nuclear Medicine and Imaging and 39 papers in Artificial Intelligence. Recurrent topics in Lequan Yu’s work include Advanced Neural Network Applications (26 papers), Radiomics and Machine Learning in Medical Imaging (25 papers) and Medical Image Segmentation Techniques (24 papers). Lequan Yu is often cited by papers focused on Advanced Neural Network Applications (26 papers), Radiomics and Machine Learning in Medical Imaging (25 papers) and Medical Image Segmentation Techniques (24 papers). Lequan Yu collaborates with scholars based in Hong Kong, China and United States. Lequan Yu's co-authors include Pheng‐Ann Heng, Hao Chen, Qi Dou, Jing Qin, Chi‐Wing Fu, Xin Yang, Xiaomeng Li, Xiaojuan Qi, Lei Xing and Shujun Wang and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and NeuroImage.

In The Last Decade

Co-authorship network of co-authors of Lequan Yu i

Fields of papers citing papers by Lequan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Lequan Yu

Since Specialization
Citations

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