Brian Cheung
Impact in
- Cognitive Neuroscience top 2%
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
-
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
Papers in
-
- Target Tracking and Data Fusion in Sensor Networks 15
- Domain Adaptation and Few-Shot Learning 5
- Adversarial Robustness in Machine Learning 4
- Gaussian Processes and Bayesian Inference 3
-
- Advanced Neural Network Applications 3
- Generative Adversarial Networks and Image Synthesis 3
- Co-authors
- R. Cameron Craddock (4 shared papers)F. Xavier Castellanos (3 shared papers)Michael P. Milham (3 shared papers)Adriana Di Martino (2 shared papers)Chao‐Gan Yan (2 shared papers)Stan Colcombe (2 shared papers)Qingyang Li (2 shared papers)Clare Kelly (2 shared papers)
- Journals
- IEEE Transactions on Aerospace and Electronic Systems (4 papers)NeuroImage (2 papers)Journal of Vision (1 paper)Eye & Contact Lens Science & Clinical Practice (1 paper)Sensors (1 paper)
- Partner nations
- United StatesAustraliaSaudi Arabia
In The Last Decade
Brian Cheung
43 papers receiving 1.8k citations
Brian Cheung's Hit Papers
Peers
Comparison fields: 5 of 119
- Cognitive Neuroscience 1.0k
- Radiology, Nuclear Medicine and Imaging 386
- Experimental and Cognitive Psychology 181
- Artificial Intelligence 373
- Psychiatry and Mental health 124
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 44 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 | 1241 |
| 2 | 2007 | 208 | |
| 3 | 2018 | 79 | |
| 4 | 2012 | 54 | |
| 5 | 2012 | 23 | |
| 6 | Superposition of many models into one | 2019 | 18 |
| 7 | 2011 | 15 | |
| 8 | 2018 | 14 | |
| 9 | Adversarial Examples that Fool both Human and Computer Vision | 2018 | 14 |
| 10 | 2017 | 13 | |
| 11 | 2003 | 11 | |
| 12 | Learning Unsupervised Learning Rules | 2018 | 10 |
| 13 | Hardware-Optimized Ziggurat Algorithm for High-Speed Gaussian Random Number Generators. | 2009 | 10 |
| 14 | Discovering Hidden Factors of Variation in Deep Networks | 2014 | 9 |
| 15 | 2023 | 8 | |
| 16 | 2014 | 7 | |
| 17 | Track-Before-Detect for sensors with complex measurements | 2009 | 7 |
| 18 | 2006 | 7 | |
| 19 | 2003 | 6 | |
| 20 | 2023 | 5 |
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 44 papers that have together received 1.8k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (15 papers), Domain Adaptation and Few-Shot Learning (5 papers), Robotics and Sensor-Based Localization (5 papers), Adversarial Robustness in Machine Learning (4 papers), Distributed Sensor Networks and Detection Algorithms (4 papers), Advanced Neural Network Applications (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 (1.0k citations), Radiology, Nuclear Medicine and Imaging (386 citations), Experimental and Cognitive Psychology (181 citations), Artificial Intelligence (373 citations) and Psychiatry and Mental health (124 citations). Brian Cheung has collaborated with scholars based in United States, Australia and Saudi Arabia. Frequent co-authors include R. Cameron Craddock, F. Xavier Castellanos, Michael P. Milham, Adriana Di Martino, Chao‐Gan Yan, Stan Colcombe, Qingyang Li, Clare Kelly, Xi‐Nian Zuo and Samuel J. Davey. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, NeuroImage, Journal of Vision, Eye & Contact Lens Science & Clinical Practice and Sensors.
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.