Qun Chao

1.6k total citations
54 papers, 1.2k citations indexed

About

Qun Chao is a scholar working on Mechanical Engineering, Ocean Engineering and Control and Systems Engineering. According to data from OpenAlex, Qun Chao has authored 54 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Mechanical Engineering, 23 papers in Ocean Engineering and 20 papers in Control and Systems Engineering. Recurrent topics in Qun Chao's work include Hydraulic and Pneumatic Systems (47 papers), Oil and Gas Production Techniques (23 papers) and Cavitation Phenomena in Pumps (17 papers). Qun Chao is often cited by papers focused on Hydraulic and Pneumatic Systems (47 papers), Oil and Gas Production Techniques (23 papers) and Cavitation Phenomena in Pumps (17 papers). Qun Chao collaborates with scholars based in China, United Kingdom and Mexico. Qun Chao's co-authors include Bing Xu, Junhui Zhang, Jianfeng Tao, Chengliang Liu, Qiannan Wang, Min Pan, Jian Zhou, Chengliang Liu, Zi Xu and Yuan Chen and has published in prestigious journals such as Sensors, Mechanical Systems and Signal Processing and Wear.

In The Last Decade

Qun Chao

50 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qun Chao China 22 1.0k 431 398 383 101 54 1.2k
Shaogan Ye China 16 561 0.6× 222 0.5× 285 0.7× 158 0.4× 114 1.1× 32 751
Yan Ren China 16 551 0.5× 131 0.3× 273 0.7× 115 0.3× 72 0.7× 69 834
Andrea Vacca United States 25 1.8k 1.8× 664 1.5× 533 1.3× 216 0.6× 174 1.7× 163 2.0k
Noah D. Manring United States 21 1.3k 1.3× 366 0.8× 526 1.3× 298 0.8× 163 1.6× 71 1.4k
Mir Saeed Safizadeh Iran 17 463 0.5× 352 0.8× 315 0.8× 50 0.1× 63 0.6× 45 848
Zhonghai Ma China 16 392 0.4× 181 0.4× 205 0.5× 91 0.2× 68 0.7× 50 670
Massimo Rundo Italy 20 920 0.9× 385 0.9× 240 0.6× 100 0.3× 55 0.5× 70 1.0k
Tan Tien Nguyen Vietnam 12 307 0.3× 137 0.3× 271 0.7× 94 0.2× 129 1.3× 74 717
Matti Linjama Finland 16 685 0.7× 79 0.2× 480 1.2× 103 0.3× 91 0.9× 94 803
Tianyang Wang China 11 569 0.6× 232 0.5× 707 1.8× 50 0.1× 48 0.5× 20 955

Countries citing papers authored by Qun Chao

Since Specialization
Citations

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

Fields of papers citing papers by Qun Chao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qun Chao

This figure shows the co-authorship network connecting the top 25 collaborators of Qun Chao. A scholar is included among the top collaborators of Qun Chao 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 Qun Chao. Qun Chao 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.
Wang, Zhongrui, et al.. (2025). Transfer learning from computational fluid dynamics simulation data to experimental data for the fault diagnosis of axial piston pumps. Engineering Applications of Artificial Intelligence. 162. 112643–112643.
2.
Chao, Qun, et al.. (2025). Condition monitoring of axial piston pumps based on machine learning-driven real-time CFD simulation. Engineering Applications of Computational Fluid Mechanics. 19(1). 6 indexed citations
3.
Chao, Qun, Yong Hu, & Chengliang Liu. (2025). Physics informed neural networks for detecting the wear of friction pairs in axial piston pumps. Reliability Engineering & System Safety. 261. 111144–111144. 3 indexed citations
4.
Li, Lin, et al.. (2024). Lubrication, Friction and Wear Characteristics of Textured Surface Slipper Pairs in Axial Piston Pumps. Lubricants. 12(11). 370–370. 4 indexed citations
5.
Chao, Qun, et al.. (2024). An adversarial-based domain generalization method for the health evaluation of axial piston pumps. Physica Scripta. 99(10). 106002–106002. 1 indexed citations
6.
Chao, Qun, et al.. (2024). Fault severity recognition in axial piston pumps using attention-based adversarial discriminative domain adaptation neural network. Physica Scripta. 99(5). 56009–56009. 4 indexed citations
7.
8.
Zhang, Zhiqiang, et al.. (2024). Study on Temperature Characteristics of Lubrication Film of Valve Plate Pair in Axial Piston Pumps. Applied Sciences. 14(8). 3359–3359.
9.
Tao, Jianfeng, et al.. (2023). Inverse transient analysis based calibration of surrogate pipeline model for fault simulation of axial piston pumps. Mechanical Systems and Signal Processing. 205. 110829–110829. 15 indexed citations
10.
Tao, Jianfeng, et al.. (2023). Subsequence Time Series Clustering-Based Unsupervised Approach for Anomaly Detection of Axial Piston Pumps. IEEE Transactions on Instrumentation and Measurement. 72. 1–12. 15 indexed citations
11.
Chao, Qun, et al.. (2023). Health evaluation of axial piston pumps based on density weighted support vector data description. Reliability Engineering & System Safety. 237. 109354–109354. 41 indexed citations
12.
Chao, Qun, et al.. (2022). Improving accuracy of cavitation severity recognition in axial piston pumps by denoising time–frequency images. Measurement Science and Technology. 33(5). 55116–55116. 20 indexed citations
13.
14.
Chao, Qun, et al.. (2021). Cavitation Fault Diagnosis of High-speed Axial Piston Pump Based on Spectrum Analysis and Convolutional Neural Network. Chinese Hydraulics & Pneumatics. 45(7). 7. 2 indexed citations
15.
Chao, Qun, et al.. (2018). A Review of High-Speed Electro-Hydrostatic Actuator Pumps in Aerospace Applications: Challenges and Solutions. Journal of Mechanical Design. 141(5). 101 indexed citations
16.
Chao, Qun, Junhui Zhang, Bing Xu, et al.. (2018). Load-Sensing Pump Design to Reduce Heat Generation of Electro-Hydrostatic Actuator Systems. Energies. 11(9). 2266–2266. 13 indexed citations
17.
Zhang, Junhui, Qun Chao, Bing Xu, et al.. (2017). Novel three-piston pump design for a slipper test rig. Applied Mathematical Modelling. 52. 65–81. 25 indexed citations
18.
Zhang, Junhui, Qun Chao, & Bing Xu. (2017). Analysis of the cylinder block tilting inertia moment and its effect on the performance of high-speed electro-hydrostatic actuator pumps of aircraft. Chinese Journal of Aeronautics. 31(1). 169–177. 76 indexed citations
19.
Zhang, Daqing, et al.. (2016). Inlaid connection of carbon fibre reinforced plastic cylinder. 5 indexed citations
20.
Chao, Qun, et al.. (2009). Plastic Deformation and Damage Behavior of AL6XN Super-Austenitic Stainless Steels. Advanced materials research. 79-82. 1951–1954. 1 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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