Keng Teck
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Video Analysis and Summarization
- Multimodal Machine Learning Applications
- Visual Attention and Saliency Detection
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
Papers in
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- Visual Attention and Saliency Detection 4
- Multimodal Machine Learning Applications 3
- Human Pose and Action Recognition 3
- Advanced Image and Video Retrieval Techniques 2
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- Bayesian Methods and Mixture Models 3
- Anomaly Detection Techniques and Applications 2
- Co-authors
- Gee-Wah Ng (2 shared papers)Xiaogang Wang (3 shared papers)W. Eric L. Grimson (2 shared papers)Joo‐Hwee Lim (6 shared papers)Mengmi Zhang (5 shared papers)Qi Zhao (4 shared papers)Jiashi Feng (4 shared papers)Cheston Tan (1 shared paper)
- Journals
- International Journal of Computer Vision (1 paper)IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Nature Communications (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
- Partner nations
- SingaporeUnited StatesHong Kong
In The Last Decade
Keng Teck
14 papers receiving 462 citations
Peers
Comparison fields: 5 of 63
- Computer Vision and Pattern Recognition 370
- Artificial Intelligence 266
- Signal Processing 86
- Human-Computer Interaction 38
- Ocean Engineering 45
Countries citing papers authored by Keng Teck
This map shows the geographic impact of Keng Teck'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 Keng Teck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keng Teck more than expected).
Fields of papers citing papers by Keng Teck
This network shows the impact of papers produced by Keng Teck. 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 Keng Teck. The network helps show where Keng Teck may publish in the future.
Co-authors
The 23 scholars most cited alongside Keng Teck, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 138 | |
| 2 | 2011 | 133 | |
| 3 | 2017 | 78 | |
| 4 | 2018 | 33 | |
| 5 | 2019 | 33 | |
| 6 | 2023 | 24 | |
| 7 | 2023 | 11 | |
| 8 | 2018 | 11 | |
| 9 | 2019 | 5 | |
| 10 | 2024 | 3 | |
| 11 | 2017 | 2 | |
| 12 | 2013 | 2 | |
| 13 | Trajectory Analysis and Semantic Region Modeling Using A Nonparametric | 2008 | 1 |
| 14 | 2018 | 1 |
About Keng Teck
Keng Teck is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Human-Computer Interaction and Cognitive Neuroscience, having authored 14 papers that have together received 475 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (4 papers), Multimodal Machine Learning Applications (3 papers), Human Pose and Action Recognition (3 papers), Gaze Tracking and Assistive Technology (3 papers), Bayesian Methods and Mixture Models (3 papers), Anomaly Detection Techniques and Applications (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Data Management and Algorithms (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (370 citations), Artificial Intelligence (266 citations), Signal Processing (86 citations), Human-Computer Interaction (38 citations) and Ocean Engineering (45 citations). Keng Teck has collaborated with scholars based in Singapore, United States and Hong Kong. Frequent co-authors include Gee-Wah Ng, Xiaogang Wang, W. Eric L. Grimson, Joo‐Hwee Lim, Mengmi Zhang, Qi Zhao, Jiashi Feng, Cheston Tan, Gabriel Kreiman and Zi Jian Yew. Their work appears in journals such as International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, Nature Communications, DSpace@MIT (Massachusetts Institute of Technology) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.