Qingqiang Wu

566 total citations
27 papers, 439 citations indexed

About

Qingqiang Wu is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Qingqiang Wu has authored 27 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Control and Systems Engineering and 7 papers in Mechanical Engineering. Recurrent topics in Qingqiang Wu's work include Machine Fault Diagnosis Techniques (8 papers), Human Pose and Action Recognition (6 papers) and Hand Gesture Recognition Systems (5 papers). Qingqiang Wu is often cited by papers focused on Machine Fault Diagnosis Techniques (8 papers), Human Pose and Action Recognition (6 papers) and Hand Gesture Recognition Systems (5 papers). Qingqiang Wu collaborates with scholars based in China, Taiwan and Nepal. Qingqiang Wu's co-authors include Sicong Zhang, Longting Chen, Tangfei Tao, Guanghua Xu, Wei Fan, Wenqiang Yan, Guanghua Xu, Chengcheng Han, Xin Zhang and Min Li and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Qingqiang Wu

23 papers receiving 430 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qingqiang Wu China 11 234 118 88 72 54 27 439
Longting Chen China 13 211 0.9× 116 1.0× 65 0.7× 41 0.6× 89 1.6× 24 547
Ke Jiang China 14 94 0.4× 170 1.4× 70 0.8× 79 1.1× 51 0.9× 57 484
Lianfeng Li China 9 231 1.0× 121 1.0× 28 0.3× 23 0.3× 80 1.5× 21 368
Xiaohua Li China 14 438 1.9× 181 1.5× 168 1.9× 23 0.3× 82 1.5× 38 891
Hao Fang China 8 114 0.5× 45 0.4× 45 0.5× 61 0.8× 11 0.2× 29 347
Yihao Xue China 9 306 1.3× 153 1.3× 147 1.7× 45 0.6× 92 1.7× 17 550
Xincheng Cao China 11 202 0.9× 265 2.2× 57 0.6× 37 0.5× 72 1.3× 11 599
Uipil Chong South Korea 7 166 0.7× 88 0.7× 45 0.5× 78 1.1× 39 0.7× 54 347
Gang Qian United States 13 211 0.9× 76 0.6× 55 0.6× 155 2.2× 40 0.7× 21 448

Countries citing papers authored by Qingqiang Wu

Since Specialization
Citations

This map shows the geographic impact of Qingqiang Wu'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 Qingqiang Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingqiang Wu more than expected).

Fields of papers citing papers by Qingqiang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qingqiang Wu. 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 Qingqiang Wu. The network helps show where Qingqiang Wu may publish in the future.

Co-authorship network of co-authors of Qingqiang Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Qingqiang Wu. A scholar is included among the top collaborators of Qingqiang Wu 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 Qingqiang Wu. Qingqiang Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhang, Xun, et al.. (2024). Bearing fault diagnosis method based on angular domain resampling, relative position matrix and transfer learning. Measurement Science and Technology. 35(7). 76118–76118. 5 indexed citations
2.
Xu, Guanghua, Chengcheng Han, Hui Li, et al.. (2024). A subjective and objective fusion visual fatigue assessment system for different hardware and software parameters in SSVEP-based BCI applications. Scientific Reports. 14(1). 27872–27872. 3 indexed citations
3.
Han, Chengcheng, Xiaowei Zheng, Kai Zhang, et al.. (2024). Research on an Indoor Light Environment Comfort Evaluation Index Based on Electroencephalogram and Pupil Signals. Electronics. 13(17). 3411–3411. 1 indexed citations
4.
Xu, Guanghua, et al.. (2023). Domain Conditioned Joint Adaptation Network for Intelligent Bearing Fault Diagnosis Across Different Positions and Machines. IEEE Sensors Journal. 23(4). 4000–4010. 37 indexed citations
5.
Wu, Qingqiang, et al.. (2023). A Training-Free Infant Spontaneous Movement Assessment Method for Cerebral Palsy Prediction Based on Videos. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 31. 1670–1679. 8 indexed citations
6.
Xu, Guanghua, Dan Luo, Sicong Zhang, et al.. (2023). Bionic intelligent ankle-foot prosthesis based on the conjugate curved surface. PubMed. 2023. 1–5. 1 indexed citations
7.
Chen, Liyan, et al.. (2023). Feature Elimination through Data Complexity for Error-Correcting Output Codes based micro-expression recognition. Signal Processing Image Communication. 115. 116962–116962.
8.
Fan, Wei, et al.. (2022). Azure Kinect Calibration and Parameter Recommendation in Different Scenarios. IEEE Sensors Journal. 22(10). 9733–9742. 6 indexed citations
9.
Xu, Guanghua, et al.. (2022). Dual-Weight Consistency-Induced Partial Domain Adaptation Network for Intelligent Fault Diagnosis of Machinery. IEEE Transactions on Instrumentation and Measurement. 71. 1–12. 25 indexed citations
10.
Wu, Qingqiang, et al.. (2022). Supine Infant Pose Estimation via Single Depth Image. IEEE Transactions on Instrumentation and Measurement. 71. 1–11. 11 indexed citations
11.
Xu, Guanghua, et al.. (2022). Prototype-guided bi-level adversarial domain adaptation network for intelligent fault diagnosis of rotating machinery under various working conditions. Measurement Science and Technology. 33(11). 115014–115014. 11 indexed citations
12.
Tao, Tangfei, Qingqiang Wu, Chengcheng Han, et al.. (2022). Domain-Adaptive Prototype-Recalibrated Network with Transductive Learning Paradigm for Intelligent Fault Diagnosis under Various Limited Data Conditions. Sensors. 22(17). 6535–6535. 1 indexed citations
13.
Wu, Qingqiang, et al.. (2021). Automatically Measure the Quality of Infants’ Spontaneous Movement via Videos to Predict the Risk of Cerebral Palsy. IEEE Transactions on Instrumentation and Measurement. 70. 1–11. 10 indexed citations
14.
Xu, Guanghua, et al.. (2021). Class-Imbalance Adversarial Transfer Learning Network for Cross-Domain Fault Diagnosis With Imbalanced Data. IEEE Transactions on Instrumentation and Measurement. 71. 1–11. 83 indexed citations
15.
Wu, Qingqiang, Guanghua Xu, Wei Fan, Longting Chen, & Sicong Zhang. (2021). RGB-D Videos-Based Early Prediction of Infant Cerebral Palsy via General Movements Complexity. IEEE Access. 9. 42314–42324. 20 indexed citations
16.
Jiang, Hui, Chulun Zhou, Fandong Meng, et al.. (2021). Exploring Dynamic Selection of Branch Expansion Orders for Code Generation. 5076–5085. 11 indexed citations
17.
Chen, Longting, et al.. (2019). Health indicator construction of machinery based on end-to-end trainable convolution recurrent neural networks. Journal of Manufacturing Systems. 54. 1–11. 123 indexed citations
18.
Zhang, Xin, Guanghua Xu, Xun Zhang, & Qingqiang Wu. (2018). A Light Spot Humanoid Motion Paradigm Modulated by the Change of Brightness to Recognize the Stride Motion Frequency. Frontiers in Human Neuroscience. 12. 377–377. 5 indexed citations
19.
Wu, Qingqiang, et al.. (2017). Human action recognition based on kinematic similarity in real time. PLoS ONE. 12(10). e0185719–e0185719. 4 indexed citations
20.
He, Qun, et al.. (2015). An Integrated Approach of Real-time Hand Gesture Recognition Based on Feature Points. International Journal of Multimedia and Ubiquitous Engineering. 10(4). 413–428. 2 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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