Ying Tai

80 papers and 4.2k indexed citations i.

About

Ying Tai is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Computational Mechanics. According to data from OpenAlex, Ying Tai has authored 80 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Computer Vision and Pattern Recognition, 15 papers in Electrical and Electronic Engineering and 15 papers in Computational Mechanics. Recurrent topics in Ying Tai’s work include Advanced Image Processing Techniques (19 papers), Face recognition and analysis (19 papers) and Advanced Vision and Imaging (15 papers). Ying Tai is often cited by papers focused on Advanced Image Processing Techniques (19 papers), Face recognition and analysis (19 papers) and Advanced Vision and Imaging (15 papers). Ying Tai collaborates with scholars based in China, United States and United Kingdom. Ying Tai's co-authors include Jian Yang, Xiaoming Liu, Chunyan Xu, Jilin Li, Feiyue Huang, Chengjie Wang, Yabiao Wang, Jianjun Qian, Lei Luo and Donghao Luo and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Information Theory and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Ying Tai i

Fields of papers citing papers by Ying Tai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ying Tai

Since Specialization
Citations

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