Song Chen

26 papers and 313 indexed citations i.

About

Song Chen is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Song Chen has authored 26 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 13 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Surgery. Recurrent topics in Song Chen’s work include Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging Techniques and Applications (4 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Song Chen is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Medical Imaging Techniques and Applications (4 papers) and Lung Cancer Diagnosis and Treatment (3 papers). Song Chen collaborates with scholars based in China, United States and United Kingdom. Song Chen's co-authors include Yaming Li, Yufan Xiang, Yan‐Hui Liu, Junhong Li, Xuena Li, Timothy Perk, Robert Jeraj, Meijie Chen, Linsen Li and Steve Cho and has published in prestigious journals such as Physics in Medicine and Biology, Medicine and BioMed Research International.

In The Last Decade

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

Fields of papers citing papers by Song Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Chen

Since Specialization
Citations

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