Song Chun Zhu

27 papers and 1.3k indexed citations i.

About

Song Chun Zhu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Song Chun Zhu has authored 27 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 6 papers in Media Technology and 4 papers in Artificial Intelligence. Recurrent topics in Song Chun Zhu’s work include Image Retrieval and Classification Techniques (6 papers), Medical Image Segmentation Techniques (6 papers) and Image Processing Techniques and Applications (6 papers). Song Chun Zhu is often cited by papers focused on Image Retrieval and Classification Techniques (6 papers), Medical Image Segmentation Techniques (6 papers) and Image Processing Techniques and Applications (6 papers). Song Chun Zhu collaborates with scholars based in United States, China and Australia. Song Chun Zhu's co-authors include David Mumford, Yingnian Wu, D. Mumford, Ying Wu, Alan Yuille, James M. Coughlan, Xiuwen Liu, Benjamin Yao, Shixiong Jiang and Wenhao Lai and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Neural Computation.

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