Songcan Chen

239 papers and 7.4k indexed citations i.

About

Songcan Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Songcan Chen has authored 239 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 163 papers in Computer Vision and Pattern Recognition, 143 papers in Artificial Intelligence and 33 papers in Media Technology. Recurrent topics in Songcan Chen’s work include Face and Expression Recognition (121 papers), Domain Adaptation and Few-Shot Learning (41 papers) and Neural Networks and Applications (34 papers). Songcan Chen is often cited by papers focused on Face and Expression Recognition (121 papers), Domain Adaptation and Few-Shot Learning (41 papers) and Neural Networks and Applications (34 papers). Songcan Chen collaborates with scholars based in China, United States and United Kingdom. Songcan Chen's co-authors include Daoqiang Zhang, Xiaoyang Tan, Lishan Qiao, Zhi‐Hua Zhou, Weiling Cai, Chuanxing Geng, Sheng-Jun Huang, Menglei Hu, Hui Xue and Fuyan Zhang and has published in prestigious journals such as PLoS ONE, 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 Songcan Chen i

Fields of papers citing papers by Songcan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Songcan Chen

Since Specialization
Citations

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