Xubo Song

50 papers and 607 indexed citations i.

About

Xubo Song is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Xubo Song has authored 50 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 13 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Xubo Song’s work include Medical Image Segmentation Techniques (12 papers), Cardiovascular Function and Risk Factors (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Xubo Song is often cited by papers focused on Medical Image Segmentation Techniques (12 papers), Cardiovascular Function and Risk Factors (6 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). Xubo Song collaborates with scholars based in United States, India and China. Xubo Song's co-authors include Andriy Myronenko, Miguel Á. Carreira-Perpiñán, Mark Asquith, Lisa Karstens, Vincent Caruso, David J. Sahn, Chao Wang, Muhammad Ashraf, Megan L. Troxell and Guillaume Thibault and has published in prestigious journals such as Circulation, Expert Systems with Applications and Medical Physics.

In The Last Decade

Co-authorship network of co-authors of Xubo Song i

Fields of papers citing papers by Xubo Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Xubo Song

Since Specialization
Citations

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