Song Yan

10 papers and 100 indexed citations i.

About

Song Yan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Song Yan has authored 10 papers receiving a total of 100 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Surgery. Recurrent topics in Song Yan’s work include Video Surveillance and Tracking Methods (3 papers), Human Pose and Action Recognition (3 papers) and 3D Shape Modeling and Analysis (2 papers). Song Yan is often cited by papers focused on Video Surveillance and Tracking Methods (3 papers), Human Pose and Action Recognition (3 papers) and 3D Shape Modeling and Analysis (2 papers). Song Yan collaborates with scholars based in China, Finland and United States. Song Yan's co-authors include Joni‐Kristian Kämäräinen, Jinyu Yang, Jani Käpylä, Aleš Leonardis, Feng Zheng, Shuoyu Xu, Hongmin Cai, Jinhua Wang, Jiao Li and Xinhua Jiang and has published in prestigious journals such as Journal of Ultrasound in Medicine, Machine Vision and Applications and International Journal of Computer Assisted Radiology and Surgery.

In The Last Decade

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

Fields of papers citing papers by Song Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song Yan

Since Specialization
Citations

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