Chuan-Sheng Foo
Impact in
- Artificial Intelligence top 2%
- Anomaly Detection Techniques and Applications
- Domain Adaptation and Few-Shot Learning
- Signal Processing top 5%
- Time Series Analysis and Forecasting
Papers in
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- Domain Adaptation and Few-Shot Learning 16
- Machine Learning and Data Classification 6
- Anomaly Detection Techniques and Applications 6
- Adversarial Robustness in Machine Learning 5
- Machine Learning and Algorithms 5
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- Multimodal Machine Learning Applications 9
- Advanced Neural Network Applications 8
- Co-authors
- Vijay Chandrasekhar (11 shared papers)Houssam Zenati (2 shared papers)Bruno Lecouat (2 shared papers)Xiaoli Li (6 shared papers)Wenyu Zhang (8 shared papers)Savitha Ramasamy (2 shared papers)Jules Samaran (1 shared paper)Min Wu (6 shared papers)
- Journals
- IEEE Transactions on Image Processing (5 papers)IEEE Transactions on Neural Networks and Learning Systems (3 papers)International Journal of Computer Vision (2 papers)Neurocomputing (2 papers)Nature Communications (1 paper)
- Partner nations
- SingaporeUnited StatesChina
In The Last Decade
Chuan-Sheng Foo
65 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 121
- Artificial Intelligence 656
- Signal Processing 192
- Computer Vision and Pattern Recognition 251
- Computational Mathematics 7
- Computer Networks and Communications 224
Countries citing papers authored by Chuan-Sheng Foo
This map shows the geographic impact of Chuan-Sheng Foo'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 Chuan-Sheng Foo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chuan-Sheng Foo more than expected).
Fields of papers citing papers by Chuan-Sheng Foo
This network shows the impact of papers produced by Chuan-Sheng Foo. 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 Chuan-Sheng Foo. The network helps show where Chuan-Sheng Foo may publish in the future.
Co-authors
The 25 scholars most cited alongside Chuan-Sheng Foo, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 235 | |
| 2 | 2021 | 141 | |
| 3 | 2020 | 132 | |
| 4 | 2007 | 69 | |
| 5 | 2008 | 59 | |
| 6 | Efficient multiple hyperparameter learning for log-linear models | 2007 | 46 |
| 7 | 2021 | 37 | |
| 8 | 2023 | 35 | |
| 9 | 2022 | 32 | |
| 10 | 2009 | 31 | |
| 11 | 2020 | 22 | |
| 12 | 2016 | 20 | |
| 13 | Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning | 2021 | 20 |
| 14 | 2014 | 20 | |
| 15 | 2019 | 20 | |
| 16 | 2020 | 17 | |
| 17 | 2009 | 17 | |
| 18 | 2024 | 16 | |
| 19 | Validation Free and Replication Robust Volume-based Data Valuation | 2021 | 15 |
| 20 | 2019 | 15 |
About Chuan-Sheng Foo
Chuan-Sheng Foo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics, Molecular Biology and Electrical and Electronic Engineering, having authored 69 papers that have together received 1.2k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (16 papers), Multimodal Machine Learning Applications (9 papers), Advanced Neural Network Applications (8 papers), 3D Shape Modeling and Analysis (6 papers), Machine Learning and Data Classification (6 papers), Anomaly Detection Techniques and Applications (6 papers), Adversarial Robustness in Machine Learning (5 papers) and Machine Learning and Algorithms (5 papers). The work is most often cited by research in Artificial Intelligence (656 citations), Signal Processing (192 citations), Computer Vision and Pattern Recognition (251 citations), Computational Mathematics (7 citations) and Computer Networks and Communications (224 citations). Chuan-Sheng Foo has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Vijay Chandrasekhar, Houssam Zenati, Bruno Lecouat, Xiaoli Li, Wenyu Zhang, Savitha Ramasamy, Jules Samaran, Min Wu, Zhenghua Chen and Mohamed Ragab. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems, International Journal of Computer Vision, Neurocomputing 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.