Le Wu

93 papers and 2.4k indexed citations i.

About

Le Wu is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Le Wu has authored 93 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 49 papers in Information Systems and 23 papers in Computer Vision and Pattern Recognition. Recurrent topics in Le Wu’s work include Recommender Systems and Techniques (46 papers), Advanced Graph Neural Networks (34 papers) and Topic Modeling (20 papers). Le Wu is often cited by papers focused on Recommender Systems and Techniques (46 papers), Advanced Graph Neural Networks (34 papers) and Topic Modeling (20 papers). Le Wu collaborates with scholars based in China, United States and Singapore. Le Wu's co-authors include Meng Wang, Richang Hong, Kun Zhang, Peijie Sun, Enhong Chen, Yanjie Fu, Xiting Wang, Lei Chen, Xiangnan He and Xing Xie and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Resources Conservation and Recycling.

In The Last Decade

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

Fields of papers citing papers by Le Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Le Wu

Since Specialization
Citations

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