Yi Song

34 papers and 483 indexed citations i.

About

Yi Song is a scholar working on Computer Vision and Pattern Recognition, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Yi Song has authored 34 papers receiving a total of 483 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Pulmonary and Respiratory Medicine and 7 papers in Surgery. Recurrent topics in Yi Song’s work include Surgical Simulation and Training (5 papers), Medical Image Segmentation Techniques (5 papers) and Renal cell carcinoma treatment (5 papers). Yi Song is often cited by papers focused on Surgical Simulation and Training (5 papers), Medical Image Segmentation Techniques (5 papers) and Renal cell carcinoma treatment (5 papers). Yi Song collaborates with scholars based in China, United Kingdom and United States. Yi Song's co-authors include Darren Treanor, Derek Magee, Andrew J. Bulpitt, Nicholas Roberts, Sébastien Ourselin, Stephen Thompson, Matthew J. Clarkson, Johannes Totz, Philip Quirke and Nicolas M. Orsi and has published in prestigious journals such as American Journal Of Pathology, IEEE Transactions on Biomedical Engineering and Medicine.

In The Last Decade

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

Fields of papers citing papers by Yi Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yi Song

Since Specialization
Citations

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