Liangchen Song

20 papers and 876 indexed citations i.

About

Liangchen Song is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Liangchen Song has authored 20 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Liangchen Song’s work include Video Surveillance and Tracking Methods (6 papers), Advanced Neural Network Applications (6 papers) and Human Pose and Action Recognition (6 papers). Liangchen Song is often cited by papers focused on Video Surveillance and Tracking Methods (6 papers), Advanced Neural Network Applications (6 papers) and Human Pose and Action Recognition (6 papers). Liangchen Song collaborates with scholars based in United States, China and Germany. Liangchen Song's co-authors include Junsong Yuan, Lefei Zhang, Jialian Wu, Bo Du, Xinggang Wang, Yipeng Zhang, Cheng Wang, Ming Yang, Chang Huang and Jiale Cao and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Medical Imaging and Pattern Recognition.

In The Last Decade

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

Fields of papers citing papers by Liangchen Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Liangchen Song

Since Specialization
Citations

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