Meng Qu

18 papers and 510 indexed citations i.

About

Meng Qu is a scholar working on Artificial Intelligence, Management Science and Operations Research and Molecular Biology. According to data from OpenAlex, Meng Qu has authored 18 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Artificial Intelligence, 3 papers in Management Science and Operations Research and 2 papers in Molecular Biology. Recurrent topics in Meng Qu’s work include Advanced Graph Neural Networks (13 papers), Topic Modeling (13 papers) and Natural Language Processing Techniques (6 papers). Meng Qu is often cited by papers focused on Advanced Graph Neural Networks (13 papers), Topic Modeling (13 papers) and Natural Language Processing Techniques (6 papers). Meng Qu collaborates with scholars based in China, United States and Canada. Meng Qu's co-authors include Xiang Ren, Woojeong Jin, Xisen Jin, Jiawei Han, Jian Tang, Wei Ju, Ming Zhang, Lifu Huang, Heng Ji and Wenqi He and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Neural Networks and Data Mining and Knowledge Discovery.

In The Last Decade

Co-authorship network of co-authors of Meng Qu i

Fields of papers citing papers by Meng Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Meng Qu

Since Specialization
Citations

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