Quanquan Gu
Impact in
- Computational Mathematics top 2%
- Artificial Intelligence top 0.5%
- Advanced Graph Neural Networks
- Topic Modeling
- Adversarial Robustness in Machine Learning
Papers in
-
- Stochastic Gradient Optimization Techniques 32
- Machine Learning and ELM 17
- Domain Adaptation and Few-Shot Learning 13
- Advanced Graph Neural Networks 12
- Adversarial Robustness in Machine Learning 9
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- Face and Expression Recognition 15
- Advanced Neural Network Applications 13
- Co-authors
- Jiawei Han (22 shared papers)Jie Zhou (12 shared papers)Zhenhui Li (5 shared papers)Xiao Yu (5 shared papers)Urvashi Khandelwal (3 shared papers)Bradley Sturt (2 shared papers)Yizhou Sun (3 shared papers)Brandon Norick (2 shared papers)
- Journals
- Journal of Machine Learning Research (2 papers)Materials Today Bio (2 papers)Nature Communications (1 paper)Journal of Parkinson s Disease (1 paper)European Journal of Neuroscience (1 paper)
- Partner nations
- United StatesChinaCanada
In The Last Decade
Quanquan Gu
145 papers receiving 4.2k citations
Quanquan Gu's Hit Papers
Peers
Comparison fields: 5 of 171
- Computational Mathematics 55
- Artificial Intelligence 2.6k
- Computer Vision and Pattern Recognition 1.0k
- Information Systems 1.0k
- Statistical and Nonlinear Physics 444
Countries citing papers authored by Quanquan Gu
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).
Fields of papers citing papers by Quanquan Gu
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.
Co-authors
The 25 scholars most cited alongside Quanquan Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 149 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Personalized entity recommendation Hit paper breakdown → | 2014 | 553 |
| 2 | 2006 | 306 | |
| 3 | Generalized Fisher score for feature selection | 2011 | 203 |
| 4 | 2010 | 195 | |
| 5 | 2009 | 190 | |
| 6 | Improving Adversarial Robustness Requires Revisiting Misclassified Examples | 2020 | 159 |
| 7 | 2013 | 151 | |
| 8 | 2019 | 133 | |
| 9 | 2009 | 130 | |
| 10 | 2020 | 105 | |
| 11 | 2012 | 99 | |
| 12 | 2014 | 98 | |
| 13 | 2011 | 84 | |
| 14 | 2012 | 75 | |
| 15 | 2014 | 70 | |
| 16 | Clustered Support Vector Machines | 2013 | 68 |
| 17 | 2020 | 65 | |
| 18 | 2011 | 60 | |
| 19 | Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization | 2018 | 59 |
| 20 | 2016 | 58 |
About Quanquan Gu
Quanquan Gu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics, Statistics and Probability and Computer Networks and Communications, having authored 149 papers that have together received 4.4k indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (32 papers), Stochastic Gradient Optimization Techniques (32 papers), Machine Learning and ELM (17 papers), Face and Expression Recognition (15 papers), Advanced Neural Network Applications (13 papers), Domain Adaptation and Few-Shot Learning (13 papers), Advanced Graph Neural Networks (12 papers) and Adversarial Robustness in Machine Learning (9 papers). The work is most often cited by research in Computational Mathematics (55 citations), Artificial Intelligence (2.6k citations), Computer Vision and Pattern Recognition (1.0k citations), Information Systems (1.0k citations) and Statistical and Nonlinear Physics (444 citations). Quanquan Gu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Jiawei Han, Jie Zhou, Zhenhui Li, Xiao Yu, Urvashi Khandelwal, Bradley Sturt, Yizhou Sun, Brandon Norick, Xiang Ren and Yuan Cao. Their work appears in journals such as Journal of Machine Learning Research, Materials Today Bio, Nature Communications, Journal of Parkinson s Disease and European Journal of Neuroscience.
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.