Quanquan Gu

104 papers and 1.9k indexed citations i.

About

Quanquan Gu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Quanquan Gu has authored 104 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 30 papers in Computer Vision and Pattern Recognition and 28 papers in Computational Mechanics. Recurrent topics in Quanquan Gu’s work include Stochastic Gradient Optimization Techniques (28 papers), Sparse and Compressive Sensing Techniques (28 papers) and Machine Learning and ELM (16 papers). Quanquan Gu is often cited by papers focused on Stochastic Gradient Optimization Techniques (28 papers), Sparse and Compressive Sensing Techniques (28 papers) and Machine Learning and ELM (16 papers). Quanquan Gu collaborates with scholars based in United States, China and Canada. Quanquan Gu's co-authors include Jiawei Han, Zhenhui Li, Yuan Cao, Difan Zou, Dongruo Zhou, Himanshu Gupta, Zongheng Zhou, S.R. Das, Lingxiao Wang and Jiawei Han and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Methods.

In The Last Decade

Co-authorship network of co-authors of Quanquan Gu i

Fields of papers citing papers by Quanquan Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Quanquan Gu

Since Specialization
Citations

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