Ya Su

17 papers and 236 indexed citations i.

About

Ya Su is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Ya Su has authored 17 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 4 papers in Signal Processing and 2 papers in Artificial Intelligence. Recurrent topics in Ya Su’s work include Face recognition and analysis (9 papers), Face and Expression Recognition (8 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Ya Su is often cited by papers focused on Face recognition and analysis (9 papers), Face and Expression Recognition (8 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Ya Su collaborates with scholars based in China, United States and Australia. Ya Su's co-authors include Xinbo Gao, Xuelong Li, Dacheng Tao, Xu-Cheng Yin, Hongwei Hao, Shu Tian, Qi Tian, Yun Fu, Yun Fu and Xiaojuan Ban and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Co-authorship network of co-authors of Ya Su i

Fields of papers citing papers by Ya Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ya Su

Since Specialization
Citations

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