Chao Song

41 papers and 263 indexed citations i.

About

Chao Song is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Chao Song has authored 41 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Computer Vision and Pattern Recognition and 8 papers in Computational Mechanics. Recurrent topics in Chao Song’s work include Medical Imaging Techniques and Applications (12 papers), Advanced MRI Techniques and Applications (12 papers) and Cardiac Imaging and Diagnostics (7 papers). Chao Song is often cited by papers focused on Medical Imaging Techniques and Applications (12 papers), Advanced MRI Techniques and Applications (12 papers) and Cardiac Imaging and Diagnostics (7 papers). Chao Song collaborates with scholars based in China, United States and United Kingdom. Chao Song's co-authors include Yongyi Yang, P. Hendrik Pretorius, Michael A. King, Miles N. Wernick, Xiaohong Chen, Pan Wu, Haoyu Jin, Dongdong Wang, Bailin Yang and Yan Tian and has published in prestigious journals such as Chemical Physics Letters, IEEE Transactions on Medical Imaging and Physics in Medicine and Biology.

In The Last Decade

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

Fields of papers citing papers by Chao Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chao Song

Since Specialization
Citations

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