Qi Teng
Impact in
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- Context-Aware Activity Recognition Systems
- Human Pose and Action Recognition
- Artificial Intelligence top 5%
- Anomaly Detection Techniques and Applications
Papers in
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- Context-Aware Activity Recognition Systems 11
- Human Pose and Action Recognition 2
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- IoT and Edge/Fog Computing 6
- Co-authors
- Lei Zhang (8 shared papers)Jun He (5 shared papers)Yin Tang (5 shared papers)Fuhong Min (3 shared papers)Kun Wang (1 shared paper)Hao Wu (1 shared paper)Wenbin Gao (1 shared paper)Aiguo Song (1 shared paper)
In The Last Decade
Qi Teng
14 papers receiving 607 citations
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 482
- Artificial Intelligence 224
- Computer Networks and Communications 142
- Human-Computer Interaction 27
- Signal Processing 49
Countries citing papers authored by Qi Teng
This map shows the geographic impact of Qi Teng'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 Qi Teng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Teng more than expected).
Fields of papers citing papers by Qi Teng
This network shows the impact of papers produced by Qi Teng. 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 Qi Teng. The network helps show where Qi Teng may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi Teng, 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 | 2021 | 141 | |
| 2 | 2020 | 125 | |
| 3 | 2020 | 111 | |
| 4 | 2022 | 86 | |
| 5 | 2020 | 45 | |
| 6 | 2021 | 33 | |
| 7 | 2019 | 20 | |
| 8 | 2023 | 18 | |
| 9 | 2021 | 18 | |
| 10 | 2024 | 9 | |
| 11 | 2024 | 4 | |
| 12 | Efficient convolutional neural networks with smaller filters for human activity recognition using wearable sensors. | 2020 | 2 |
| 13 | 2020 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Qi Teng
Qi Teng is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence, Biomedical Engineering and Signal Processing, having authored 17 papers that have together received 615 indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (11 papers), IoT and Edge/Fog Computing (6 papers), Non-Invasive Vital Sign Monitoring (4 papers), Balance, Gait, and Falls Prevention (2 papers), Time Series Analysis and Forecasting (2 papers), Neural Networks and Applications (2 papers), Human Pose and Action Recognition (2 papers) and Frailty in Older Adults (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (482 citations), Artificial Intelligence (224 citations), Computer Networks and Communications (142 citations), Human-Computer Interaction (27 citations) and Signal Processing (49 citations). Qi Teng has collaborated with scholars based in China, Japan and Canada. Frequent co-authors include Lei Zhang, Jun He, Yin Tang, Fuhong Min, Kun Wang, Hao Wu, Wenbin Gao, Aiguo Song, Guangwei Hu and Wenbo Huang. Their work appears in journals such as IEEE Sensors Journal, IEEE Journal of Biomedical and Health Informatics, AIP Advances, IET Radar Sonar & Navigation and IEEE Transactions on Instrumentation and Measurement.
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.