Yi-Dong Shen

About

Yi-Dong Shen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yi-Dong Shen has authored 70 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 22 papers in Computer Vision and Pattern Recognition and 11 papers in Information Systems. Recurrent topics in Yi-Dong Shen’s work include Logic, Reasoning, and Knowledge (23 papers), Logic, programming, and type systems (15 papers) and Face and Expression Recognition (11 papers). Yi-Dong Shen is often cited by papers focused on Logic, Reasoning, and Knowledge (23 papers), Logic, programming, and type systems (15 papers) and Face and Expression Recognition (11 papers). Yi-Dong Shen collaborates with scholars based in China, Australia and Canada. Yi-Dong Shen's co-authors include Liang Du, Peng Zhou, Lei Shi, Xiaojun Chang, Xuejun Li, Yongguo Liu, Yi Yang, Xindong Wu, Xuan Li and Lei Shi and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Yi-Dong Shen i

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Fields of papers citing papers by Yi-Dong Shen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yi-Dong Shen. 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 Yi-Dong Shen. The network helps show where Yi-Dong Shen may publish in the future.

Countries citing papers authored by Yi-Dong Shen

Since Specialization

Citations

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