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
- Anomaly Detection Techniques and Applications 7
- Machine Learning and Algorithms 6
- Machine Learning and Data Classification 6
- Adversarial Robustness in Machine Learning 5
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- Multimodal Machine Learning Applications 9
- Advanced Neural Network Applications 8
- Co-authors
- Vijay Chandrasekhar (12 shared papers)Xiaoli Li (7 shared papers)Houssam Zenati (3 shared papers)Bruno Lecouat (2 shared papers)Wenyu Zhang (8 shared papers)See-Kiong Ng (6 shared papers)Savitha Ramasamy (2 shared papers)Jules Samaran (1 shared paper)
- Journals
- IEEE Transactions on Image Processing (5 papers)IEEE Transactions on Neural Networks and Learning Systems (3 papers)Neurocomputing (3 papers)International Journal of Computer Vision (2 papers)Journal of Food Engineering (1 paper)
- Partner nations
- SingaporeUnited StatesChina
In The Last Decade
Chuan-Sheng Foo
70 papers receiving 1.5k citations
Chuan-Sheng Foo's Hit Papers
Peers
Comparison fields: 5 of 133
- Artificial Intelligence 817
- Signal Processing 230
- Computer Vision and Pattern Recognition 282
- Computational Mathematics 7
- Computer Networks and Communications 277
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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 277 | |
| 2 | An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series Hit paper breakdown → | 2021 | 170 |
| 3 | 2020 | 140 | |
| 4 | 2007 | 80 | |
| 5 | 2008 | 68 | |
| 6 | Efficient multiple hyperparameter learning for log-linear models | 2007 | 53 |
| 7 | 2009 | 51 | |
| 8 | 2021 | 42 | |
| 9 | 2023 | 40 | |
| 10 | 2022 | 38 | |
| 11 | 2009 | 32 | |
| 12 | 2019 | 25 | |
| 13 | 2019 | 24 | |
| 14 | 2020 | 24 | |
| 15 | 2024 | 23 | |
| 16 | Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning | 2021 | 22 |
| 17 | 2016 | 21 | |
| 18 | 2014 | 20 | |
| 19 | Validation Free and Replication Robust Volume-based Data Valuation | 2021 | 17 |
| 20 | 2020 | 17 |
About Chuan-Sheng Foo
Chuan-Sheng Foo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 77 papers that have together received 1.5k 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), Anomaly Detection Techniques and Applications (7 papers), Machine Learning and Algorithms (6 papers), 3D Shape Modeling and Analysis (6 papers), Machine Learning and Data Classification (6 papers) and Adversarial Robustness in Machine Learning (5 papers). The work is most often cited by research in Artificial Intelligence (817 citations), Signal Processing (230 citations), Computer Vision and Pattern Recognition (282 citations), Computational Mathematics (7 citations) and Computer Networks and Communications (277 citations). Chuan-Sheng Foo has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Vijay Chandrasekhar, Xiaoli Li, Houssam Zenati, Bruno Lecouat, Wenyu Zhang, See-Kiong Ng, Savitha Ramasamy, Jules Samaran, Min Wu and Mohamed Ragab. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing, International Journal of Computer Vision and Journal of Food Engineering.
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.