Keng Teck
Impact in
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- Video Surveillance and Tracking Methods
- Human Pose and Action Recognition
- Video Analysis and Summarization
- Visual Attention and Saliency Detection
- Multimodal Machine Learning Applications
- Signal Processing top 10%
- Time Series Analysis and Forecasting
- Data Management and Algorithms
Papers in
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- Visual Attention and Saliency Detection 4
- Multimodal Machine Learning Applications 3
- Human Pose and Action Recognition 3
- Face recognition and analysis 2
- Advanced Image and Video Retrieval Techniques 2
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- Bayesian Methods and Mixture Models 3
- Co-authors
- Xiaogang Wang (3 shared papers)Gee-Wah Ng (2 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
- IEEE Transactions on Pattern Analysis and Machine Intelligence (1 paper)Nature Communications (1 paper)International Journal of Computer Vision (1 paper)National University of Singapore (2 papers)DSpace@MIT (Massachusetts Institute of Technology) (1 paper)
- Partner nations
- SingaporeUnited StatesSouth Korea
In The Last Decade
Keng Teck
14 papers receiving 405 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 323
- Signal Processing 80
- Artificial Intelligence 238
- Human-Computer Interaction 32
- Ocean Engineering 41
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 22 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 | 2011 | 123 | |
| 2 | 2008 | 121 | |
| 3 | 2017 | 66 | |
| 4 | 2018 | 29 | |
| 5 | 2019 | 29 | |
| 6 | 2023 | 20 | |
| 7 | 2018 | 10 | |
| 8 | 2023 | 8 | |
| 9 | 2019 | 5 | |
| 10 | 2024 | 2 | |
| 11 | 2017 | 2 | |
| 12 | 2018 | 1 | |
| 13 | Trajectory Analysis and Semantic Region Modeling Using A Nonparametric | 2008 | 1 |
| 14 | 2013 | 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 418 indexed citations. Recurring topics across this work include Visual Attention and Saliency Detection (4 papers), Gaze Tracking and Assistive Technology (3 papers), Multimodal Machine Learning Applications (3 papers), Human Pose and Action Recognition (3 papers), Bayesian Methods and Mixture Models (3 papers), Data Management and Algorithms (2 papers), Face recognition and analysis (2 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (323 citations), Signal Processing (80 citations), Artificial Intelligence (238 citations), Human-Computer Interaction (32 citations) and Ocean Engineering (41 citations). Keng Teck has collaborated with scholars based in Singapore, United States and South Korea. Frequent co-authors include Xiaogang Wang, Gee-Wah Ng, 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 IEEE Transactions on Pattern Analysis and Machine Intelligence, Nature Communications, International Journal of Computer Vision, National University of Singapore and DSpace@MIT (Massachusetts Institute of Technology).
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.