Yuan Tang

20 papers and 709 indexed citations i.

About

Yuan Tang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Yuan Tang has authored 20 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in Yuan Tang’s work include Face and Expression Recognition (4 papers), Bayesian Methods and Mixture Models (3 papers) and Handwritten Text Recognition Techniques (3 papers). Yuan Tang is often cited by papers focused on Face and Expression Recognition (4 papers), Bayesian Methods and Mixture Models (3 papers) and Handwritten Text Recognition Techniques (3 papers). Yuan Tang collaborates with scholars based in China, United States and Canada. Yuan Tang's co-authors include Wenxuan Li, Ching Y. Suen, Liangping Tu, Jiming Liu, Tao Li, Lide Fang, Luoqing Li, Bin Zou, Tao Luo and Zongben Xu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Frontiers in Immunology and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Yuan Tang i

Fields of papers citing papers by Yuan Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yuan Tang

Since Specialization
Citations

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