Song‐Chun Zhu

256 papers and 7.2k indexed citations i.

About

Song‐Chun Zhu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Song‐Chun Zhu has authored 256 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 185 papers in Computer Vision and Pattern Recognition, 101 papers in Artificial Intelligence and 26 papers in Control and Systems Engineering. Recurrent topics in Song‐Chun Zhu’s work include Advanced Image and Video Retrieval Techniques (56 papers), Human Pose and Action Recognition (53 papers) and Image Retrieval and Classification Techniques (36 papers). Song‐Chun Zhu is often cited by papers focused on Advanced Image and Video Retrieval Techniques (56 papers), Human Pose and Action Recognition (53 papers) and Image Retrieval and Classification Techniques (36 papers). Song‐Chun Zhu collaborates with scholars based in United States, China and Japan. Song‐Chun Zhu's co-authors include Ying Wu, Quanshi Zhang, David Mumford, Yixin Zhu, Wenguan Wang, Yibiao Zhao, Zhangzhang Si, Siyuan Qi, Siyuan Huang and Xiaobai Liu and has published in prestigious journals such as Technometrics, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Song‐Chun Zhu i

Fields of papers citing papers by Song‐Chun Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Song‐Chun Zhu

Since Specialization
Citations

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