Quan Lu

About

Quan Lu is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Quan Lu has authored 14 papers receiving a total of 125 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Information Systems and 3 papers in Computer Networks and Communications. Recurrent topics in Quan Lu’s work include Recommender Systems and Techniques (6 papers), Advanced Graph Neural Networks (5 papers) and Consumer Market Behavior and Pricing (2 papers). Quan Lu is often cited by papers focused on Recommender Systems and Techniques (6 papers), Advanced Graph Neural Networks (5 papers) and Consumer Market Behavior and Pricing (2 papers). Quan Lu collaborates with scholars based in China, United States and Singapore. Quan Lu's co-authors include Xiaodan Li, Hui Xue, Yuan He, Yuefeng Chen, Shuhui Wang, Xiaofeng Mao, Liangyue Li, Jian Xu, Xuhui Shao and Kuang-Chih Lee and has published in prestigious journals such as IEEE Access, Advanced Engineering Informatics and Applied Stochastic Models in Business and Industry.

In The Last Decade

Co-authorship network of co-authors of Quan Lu i

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Fields of papers citing papers by Quan Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Quan Lu

Since Specialization

Citations

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