Brian Cheung
Impact in
- Cognitive Neuroscience top 2%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Neural and Behavioral Psychology Studies
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- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
Papers in
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- Target Tracking and Data Fusion in Sensor Networks 15
- Adversarial Robustness in Machine Learning 4
- Domain Adaptation and Few-Shot Learning 4
- Machine Learning and Data Classification 3
- Gaussian Processes and Bayesian Inference 3
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- Generative Adversarial Networks and Image Synthesis 3
- Co-authors
- R. Cameron Craddock (4 shared papers)Michael P. Milham (3 shared papers)F. Xavier Castellanos (3 shared papers)Adriana Di Martino (2 shared papers)Chao‐Gan Yan (2 shared papers)Clare Kelly (2 shared papers)Xi‐Nian Zuo (1 shared paper)Qingyang Li (2 shared papers)
- Journals
- IEEE Transactions on Aerospace and Electronic Systems (4 papers)NeuroImage (2 papers)JAMA Network Open (1 paper)Journal of Vision (1 paper)Nature Communications (1 paper)
- Partner nations
- AustraliaUnited StatesSaudi Arabia
In The Last Decade
Brian Cheung
41 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Cognitive Neuroscience 1.1k
- Radiology, Nuclear Medicine and Imaging 478
- Experimental and Cognitive Psychology 237
- Artificial Intelligence 353
- Psychiatry and Mental health 158
Countries citing papers authored by Brian Cheung
This map shows the geographic impact of Brian Cheung'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 Brian Cheung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Cheung more than expected).
Fields of papers citing papers by Brian Cheung
This network shows the impact of papers produced by Brian Cheung. 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 Brian Cheung. The network helps show where Brian Cheung may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian Cheung, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A comprehensive assessment of regional variation in the impact of head micromovements on functional connectomics Hit paper breakdown → | 2013 | 1208 |
| 2 | 2007 | 203 | |
| 3 | 2018 | 67 | |
| 4 | 2012 | 53 | |
| 5 | 2012 | 21 | |
| 6 | Superposition of many models into one | 2019 | 16 |
| 7 | 2018 | 14 | |
| 8 | 2011 | 14 | |
| 9 | 2017 | 12 | |
| 10 | Adversarial Examples that Fool both Human and Computer Vision | 2018 | 11 |
| 11 | 2003 | 11 | |
| 12 | Hardware-Optimized Ziggurat Algorithm for High-Speed Gaussian Random Number Generators. | 2009 | 9 |
| 13 | Learning Unsupervised Learning Rules | 2018 | 9 |
| 14 | Discovering Hidden Factors of Variation in Deep Networks | 2014 | 8 |
| 15 | Track-Before-Detect for sensors with complex measurements | 2009 | 7 |
| 16 | 2014 | 7 | |
| 17 | 2023 | 6 | |
| 18 | 2006 | 6 | |
| 19 | 2003 | 6 | |
| 20 | Meta-Learning Update Rules for Unsupervised Representation Learning | 2018 | 4 |
About Brian Cheung
Brian Cheung is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Aerospace Engineering, Computer Networks and Communications and Control and Systems Engineering, having authored 42 papers that have together received 1.7k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (15 papers), Robotics and Sensor-Based Localization (5 papers), Distributed Sensor Networks and Detection Algorithms (4 papers), Adversarial Robustness in Machine Learning (4 papers), Domain Adaptation and Few-Shot Learning (4 papers), Machine Learning and Data Classification (3 papers), Gaussian Processes and Bayesian Inference (3 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). The work is most often cited by research in Cognitive Neuroscience (1.1k citations), Radiology, Nuclear Medicine and Imaging (478 citations), Experimental and Cognitive Psychology (237 citations), Artificial Intelligence (353 citations) and Psychiatry and Mental health (158 citations). Brian Cheung has collaborated with scholars based in Australia, United States and Saudi Arabia. Frequent co-authors include R. Cameron Craddock, Michael P. Milham, F. Xavier Castellanos, Adriana Di Martino, Chao‐Gan Yan, Clare Kelly, Xi‐Nian Zuo, Qingyang Li, Stan Colcombe and Samuel J. Davey. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, NeuroImage, JAMA Network Open, Journal of Vision and Nature Communications.
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.