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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Health evaluation of axial piston pumps based on density weighted support vector data description
Qun Chao, Yuechen Shao, Chengliang Liu, et al.
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109354-109354
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Model-Assisted Multi-source Fusion Hypergraph Convolutional Neural Networks for intelligent few-shot fault diagnosis to Electro-Hydrostatic Actuator
Xiaoli Zhao, Xingjun Zhu, Jiahui Liu, et al.
Information Fusion (2023) Vol. 104, pp. 102186-102186
Closed Access | Times Cited: 43
Deep transfer learning strategy in intelligent fault diagnosis of rotating machinery
Shengnan Tang, Jingtao Ma, Zhengqi Yan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 134, pp. 108678-108678
Closed Access | Times Cited: 30
A light deep adaptive framework toward fault diagnosis of a hydraulic piston pump
Shengnan Tang, Boo Cheong Khoo, Yong Zhu, et al.
Applied Acoustics (2024) Vol. 217, pp. 109807-109807
Closed Access | Times Cited: 27
Fault diagnosis study of hydraulic pump based on improved symplectic geometry reconstruction data enhancement method
Siyuan Liu, Jixiong Yin, Ming Hao, et al.
Advanced Engineering Informatics (2024) Vol. 61, pp. 102459-102459
Closed Access | Times Cited: 19
A novel framework based on two-stage multi-view feature optimization and improved support vector data description for aeroengine bearing early fault detection
Zhaoguo Hou, Huawei Wang, Yubin Yue, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 110027-110027
Closed Access | Times Cited: 10
The study of hydraulic machinery condition monitoring based on anomaly detection and fault diagnosis
Yingqian Liu, Rongyong Zhang, Zhaoming He, et al.
Measurement (2024) Vol. 230, pp. 114518-114518
Closed Access | Times Cited: 9
SRSGCN: A novel multi-sensor fault diagnosis method for hydraulic axial piston pump with limited data
Pengfei Liang, Xiangfeng Wang, Chao Ai, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110563-110563
Closed Access | Times Cited: 6
Intelligent Fault Diagnosis Methods for Hydraulic Piston Pumps: A Review
Yong Zhu, Qingyi Wu, Shengnan Tang, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 8, pp. 1609-1609
Open Access | Times Cited: 13
Physics informed neural networks for fault severity identification of axial piston pumps
Zhiying Wang, Zheng Zhou, Wengang Xu, et al.
Journal of Manufacturing Systems (2023) Vol. 71, pp. 421-437
Closed Access | Times Cited: 13
Innovative fault diagnosis for axial piston pumps: A physics-informed neural network framework predicting pump flow ripple
Chang Dong, Jianfeng Tao, Hao Sun, et al.
Mechanical Systems and Signal Processing (2025) Vol. 225, pp. 112274-112274
Closed Access
A fault identification method of hydraulic pump fusing long short-term memory and synchronous compression wavelet transform
Shengnan Tang, Yixuan Jiang, Hong Su, et al.
Applied Acoustics (2025) Vol. 232, pp. 110553-110553
Closed Access
A novel adaptive monitoring framework for detecting the abnormal states of aero-engines with maneuvering flight data
Jian Wen Wang, Y. J. Song, He Tian
Reliability Engineering & System Safety (2025), pp. 110910-110910
Closed Access
Bayesian algorithm optimized deep model for multi-signal fault identification of hydraulic pumps
Shengnan Tang, Yixuan Jiang, Tao Zhou, et al.
Alexandria Engineering Journal (2025) Vol. 121, pp. 465-483
Closed Access
Condition monitoring of axial piston pumps based on machine learning-driven real-time CFD simulation
Wentao Wang, Qun Chao, Junjie Shi, et al.
Engineering Applications of Computational Fluid Mechanics (2025) Vol. 19, Iss. 1
Open Access
Reconstruction-based Deep Unsupervised Adaptive Threshold Support Vector Data Description for wind turbine anomaly detection
Dandan Peng, Wim Desmet, Konstantinos Gryllias
Reliability Engineering & System Safety (2025), pp. 110995-110995
Closed Access
Fault severity recognition in axial piston pumps using attention-based adversarial discriminative domain adaptation neural network
Yuechen Shao, Qun Chao, Pengcheng Xia, et al.
Physica Scripta (2024) Vol. 99, Iss. 5, pp. 056009-056009
Closed Access | Times Cited: 3
Unsupervised learning to detect wear faults in axial piston pumps by the similarity of periodic discharge pressure ripples
Qun Chao, Sijie Lu, Chengliang Liu, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2024) Vol. 238, Iss. 18, pp. 9278-9292
Closed Access | Times Cited: 3
A Data-Driven Diagnosis Scheme Based on Deep Learning toward Fault Identification of the Hydraulic Piston Pump
Yong Zhu, Tao Zhou, Shengnan Tang, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 7, pp. 1273-1273
Open Access | Times Cited: 7
Research on prediction methods for eccentric wear of the slipper pair in axial piston pumps and lubrication performance analysis
Zunling Du, Yimin Zhang, Wenjia Lu, et al.
Journal of Tribology (2024) Vol. 146, Iss. 9
Closed Access | Times Cited: 2
Reliability model based on fault energy dissipation for mechatronic system
Yajing Qiao, Shaoping Wang, Jian Shi, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110295-110295
Closed Access | Times Cited: 2
A systematic overview of health indicator construction methods for rotating machinery
Jianghong Zhou, Jiahong Yang, Yi Qin
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109356-109356
Closed Access | Times Cited: 2
Unsupervised hypersphere description approach for detecting and localizing anomalies in drivetrain with normal data
Zhihao Bi, Yang Yang, Minggang Du, et al.
Measurement (2024) Vol. 228, pp. 114349-114349
Closed Access | Times Cited: 1
A novel wear prediction method and wear characteristic analysis of piston/cylinder pair in axial piston pump
Yu Lin, Hujiang Wang, Honggang Wang, et al.
Wear (2024) Vol. 550-551, pp. 205402-205402
Closed Access | Times Cited: 1
The loose slipper fault diagnosis of variable-displacement pumps under time-varying operating conditions
Xinlei Xu, Junhui Zhang, Weidi Huang, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110448-110448
Closed Access
An adversarial-based domain generalization method for the health evaluation of axial piston pumps
Yuechen Shao, Qun Chao, Zhiqiang Zhang, et al.
Physica Scripta (2024) Vol. 99, Iss. 10, pp. 106002-106002
Closed Access
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