Yuduo Wu

About

Yuduo Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Yuduo Wu has authored 5 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 4 papers in Hardware and Architecture. Recurrent topics in Yuduo Wu’s work include Graph Theory and Algorithms (5 papers), Advanced Graph Neural Networks (4 papers) and Parallel Computing and Optimization Techniques (4 papers). Yuduo Wu is often cited by papers focused on Graph Theory and Algorithms (5 papers), Advanced Graph Neural Networks (4 papers) and Parallel Computing and Optimization Techniques (4 papers). Yuduo Wu collaborates with scholars based in United States. Yuduo Wu's co-authors include Yangzihao Wang, John D. Owens, Yuechao Pan, Andrew Davidson and Carl Yang and has published in prestigious journals such as ACM SIGPLAN Notices, eScholarship (California Digital Library) and 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

In The Last Decade

Co-authorship network of co-authors of Yuduo Wu i

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Fields of papers citing papers by Yuduo Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yuduo Wu

Since Specialization

Citations

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