Songfan Yang

35 papers and 971 indexed citations i.

About

Songfan Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Songfan Yang has authored 35 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Songfan Yang’s work include Face recognition and analysis (9 papers), Video Surveillance and Tracking Methods (9 papers) and Face and Expression Recognition (8 papers). Songfan Yang is often cited by papers focused on Face recognition and analysis (9 papers), Video Surveillance and Tracking Methods (9 papers) and Face and Expression Recognition (8 papers). Songfan Yang collaborates with scholars based in China, United States and Singapore. Songfan Yang's co-authors include Le An, Deva Ramanan, Bir Bhanu, Joey Tianyi Zhou, Xi Peng, Jiashi Feng, Wei‐Yun Yau, Shijie Xiao, Mehran Kafai and Shiguang Shan and has published in prestigious journals such as IEEE Transactions on Image Processing, Information Sciences and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Songfan Yang i

Fields of papers citing papers by Songfan Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Songfan Yang

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025