Dan Xue

12 papers and 341 indexed citations i.

About

Dan Xue is a scholar working on Artificial Intelligence, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Dan Xue has authored 12 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Biomedical Engineering. Recurrent topics in Dan Xue’s work include AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Lung Cancer Treatments and Mutations (2 papers). Dan Xue is often cited by papers focused on AI in cancer detection (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Lung Cancer Treatments and Mutations (2 papers). Dan Xue collaborates with scholars based in China and United States. Dan Xue's co-authors include Chen Li, Shouliang Qi, Yudong Yao, Md Mamunur Rahaman, Hongzan Sun, Hao Chen, Zhou Xiao-min, Jinpeng Zhang, Jinghua Zhang and He Ma and has published in prestigious journals such as IEEE Access, Molecular Medicine and Artificial Intelligence Review.

In The Last Decade

Co-authorship network of co-authors of Dan Xue i

Fields of papers citing papers by Dan Xue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Dan Xue

Since Specialization
Citations

This map shows the geographic impact of Dan Xue'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 Dan Xue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Xue 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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2026