Yulei Qin

9 papers and 196 indexed citations i.

About

Yulei Qin is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Yulei Qin has authored 9 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Yulei Qin’s work include COVID-19 diagnosis using AI (4 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Yulei Qin is often cited by papers focused on COVID-19 diagnosis using AI (4 papers), Lung Cancer Diagnosis and Treatment (3 papers) and Radiomics and Machine Learning in Medical Imaging (2 papers). Yulei Qin collaborates with scholars based in China, France and United Kingdom. Yulei Qin's co-authors include Hao Zheng, Jie Yang, Xiaolin Huang, Yuemin Zhu, Guang‐Zhong Yang, Yun Gu, Juan Wen, Feng Yao, Lijun Qian and Fangfang Xie and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Medical Physics and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Co-authorship network of co-authors of Yulei Qin i

Fields of papers citing papers by Yulei Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yulei Qin

Since Specialization
Citations

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