Shu Wu

88 papers and 3.1k indexed citations i.

About

Shu Wu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Shu Wu has authored 88 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 37 papers in Information Systems and 22 papers in Computer Vision and Pattern Recognition. Recurrent topics in Shu Wu’s work include Recommender Systems and Techniques (30 papers), Advanced Graph Neural Networks (28 papers) and Topic Modeling (22 papers). Shu Wu is often cited by papers focused on Recommender Systems and Techniques (30 papers), Advanced Graph Neural Networks (28 papers) and Topic Modeling (22 papers). Shu Wu collaborates with scholars based in China, United States and Canada. Shu Wu's co-authors include Liang Wang, Tieniu Tan, Yanqiao Zhu, Tieniu Tan, Xing Xie, Qiang Liu, Qiang Liu, Qiyue Yin, Qiang Liu and Yu Feng and has published in prestigious journals such as Expert Systems with Applications, Advanced Science and ACM Transactions on Graphics.

In The Last Decade

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

Fields of papers citing papers by Shu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shu Wu

Since Specialization
Citations

This map shows the geographic impact of Shu 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 Shu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu 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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2025