Qi Teng

843 total citations
17 papers, 615 citations indexed

About

Qi Teng is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Qi Teng has authored 17 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 6 papers in Computer Networks and Communications and 5 papers in Artificial Intelligence. Recurrent topics in Qi Teng's work include Context-Aware Activity Recognition Systems (11 papers), IoT and Edge/Fog Computing (6 papers) and Non-Invasive Vital Sign Monitoring (4 papers). Qi Teng is often cited by papers focused on Context-Aware Activity Recognition Systems (11 papers), IoT and Edge/Fog Computing (6 papers) and Non-Invasive Vital Sign Monitoring (4 papers). Qi Teng collaborates with scholars based in China, Japan and Canada. Qi Teng's co-authors include Lei Zhang, Jun He, Yin Tang, Fuhong Min, Kun Wang, Wenbin Gao, Hao Wu, Aiguo Song, Guangwei Hu and Wenbo Huang and has published in prestigious journals such as IEEE Access, Sensors and Applied Soft Computing.

In The Last Decade

Qi Teng

14 papers receiving 607 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Qi Teng China	10	482	224	200	142	49	17	615
Yin Tang China	11	514 1.1×	187 0.8×	231 1.2×	134 0.9×	42 0.9×	26	659
Sang Min Yoon South Korea	10	481 1.0×	87 0.4×	133 0.7×	64 0.5×	30 0.6×	50	608
Maria Cornacchia United States	5	255 0.5×	71 0.3×	116 0.6×	82 0.6×	24 0.5×	17	390
Alexandros André Chaaraoui Spain	11	659 1.4×	250 1.1×	225 1.1×	39 0.3×	43 0.9×	14	769
Maria Mahmood Pakistan	6	511 1.1×	191 0.9×	135 0.7×	44 0.3×	19 0.4×	8	694
Mouazma Batool Pakistan	10	459 1.0×	135 0.6×	138 0.7×	60 0.4×	18 0.4×	18	604
Shaik Akbar India	7	271 0.6×	112 0.5×	123 0.6×	67 0.5×	25 0.5×	15	375
Brahim Nini Algeria	6	358 0.7×	163 0.7×	98 0.5×	44 0.3×	19 0.4×	22	444
Qaiser Riaz Pakistan	12	157 0.3×	188 0.8×	112 0.6×	245 1.7×	168 3.4×	22	498

Countries citing papers authored by Qi Teng

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Qi Teng

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Teng. A scholar is included among the top collaborators of Qi Teng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qi Teng. Qi Teng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Wang, Xueer & Qi Teng. (2025). CSFO: A Category-Specific Flattening Optimization Method for Sensor-Based Long-Tailed Activity Recognition. IEEE Sensors Journal. 25(7). 12318–12334.

Wu, Chen, Qi Teng, & Rodney O. Fox. (2025). Deep Neural Network Model of Ultrafast 2D Direction‐of‐Arrival Estimation Using Planar Arrays for Multi‐Octave‐Band Digital Receiver Applications. IET Radar Sonar & Navigation. 19(1).

Teng, Qi, et al.. (2025). Frailty-Focused Movement Monitoring: A Single-Camera System Using Joint Angles for Assessing Chair-Based Exercise Quality. Sensors. 25(13). 3907–3907.

Teng, Qi, et al.. (2024). Innovative Chair and System Designs to Enhance Resistance Training Outcomes for the Elderly. Healthcare. 12(19). 1926–1926. 1 indexed citations

Teng, Qi, Yin Tang, & Guangwei Hu. (2024). Large Receptive Field Attention: An Innovation in Decomposing Large-Kernel Convolution for Sensor-Based Activity Recognition. IEEE Sensors Journal. 24(8). 13488–13499. 4 indexed citations

Teng, Qi, et al.. (2024). Innovative Dual-Decoupling CNN With Layer-Wise Temporal-Spatial Attention for Sensor-Based Human Activity Recognition. IEEE Journal of Biomedical and Health Informatics. 29(2). 1035–1048. 9 indexed citations

Teng, Qi, Yin Tang, & Guangwei Hu. (2023). RepHAR: Decoupling Networks With Accuracy-Speed Tradeoff for Sensor-Based Human Activity Recognition. IEEE Transactions on Instrumentation and Measurement. 72. 1–11. 18 indexed citations

Tang, Yin, Lei Zhang, Qi Teng, Fuhong Min, & Aiguo Song. (2022). Triple Cross-Domain Attention on Human Activity Recognition Using Wearable Sensors. IEEE Transactions on Emerging Topics in Computational Intelligence. 6(5). 1167–1176. 86 indexed citations

Teng, Qi, et al.. (2021). Block-Wise Training Residual Networks on Multi-Channel Time Series for Human Activity Recognition. IEEE Sensors Journal. 21(16). 18063–18074. 18 indexed citations

10.

Huang, Wenbo, et al.. (2021). The Convolutional Neural Networks Training With Channel-Selectivity for Human Activity Recognition Based on Sensors. IEEE Journal of Biomedical and Health Informatics. 25(10). 3834–3843. 33 indexed citations

11.

Gao, Wenbin, Lei Zhang, Qi Teng, Jun He, & Hao Wu. (2021). DanHAR: Dual Attention Network for multimodal human activity recognition using wearable sensors. Applied Soft Computing. 111. 107728–107728. 141 indexed citations

12.

Teng, Qi, et al.. (2020). Efficient convolutional neural networks with smaller filters for human activity recognition using wearable sensors.. arXiv (Cornell University). 2 indexed citations

13.

Gong, Jibing, Hongyuan Ma, Qi Teng, et al.. (2020). Hierarchical Graph Transformer-Based Deep Learning Model for Large-Scale Multi-Label Text Classification. IEEE Access. 8. 30885–30896. 45 indexed citations

14.

Tang, Yin, Qi Teng, Lei Zhang, Fuhong Min, & Jun He. (2020). Layer-Wise Training Convolutional Neural Networks With Smaller Filters for Human Activity Recognition Using Wearable Sensors. IEEE Sensors Journal. 21(1). 581–592. 111 indexed citations

15.

Teng, Qi, Kun Wang, Lei Zhang, & Jun He. (2020). The Layer-Wise Training Convolutional Neural Networks Using Local Loss for Sensor-Based Human Activity Recognition. IEEE Sensors Journal. 20(13). 7265–7274. 125 indexed citations

16.

Teng, Qi, Jiaqi Wang, Zeyu Ding, Lei Zhang, & Zhenyu Wang. (2020). Data driven governing equations approximations using attention based multistep neural networks. AIP Advances. 10(6). 2 indexed citations

17.

Teng, Qi & Lei Zhang. (2019). Data driven nonlinear dynamical systems identification using multi-step CLDNN. AIP Advances. 9(8). 20 indexed citations

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.

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