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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:

A deep multi-signal fusion adversarial model based transfer learning and residual network for axial piston pump fault diagnosis
You He, Hesheng Tang, Yan Ren, et al.
Measurement (2022) Vol. 192, pp. 110889-110889
Closed Access | Times Cited: 69

Showing 1-25 of 69 citing articles:

Multi-Sensor data fusion in intelligent fault diagnosis of rotating machines: A comprehensive review
Fasikaw Kibrete, Dereje Engida Woldemichael, Hailu Shimels Gebremedhen
Measurement (2024) Vol. 232, pp. 114658-114658
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
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: 27
A pruned-optimized weighted graph convolutional network for axial flow pump fault diagnosis with hydrophone signals
Xin Zhang, Li Jiang, Lei Wang, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102365-102365
Closed Access | Times Cited: 17
Deep Transfer Learning Models for Industrial Fault Diagnosis Using Vibration and Acoustic Sensors Data: A Review
Md Roman Bhuiyan, Jia Uddin
Vibration (2023) Vol. 6, Iss. 1, pp. 218-238
Open Access | Times Cited: 38
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
A comprehensive survey of sparse regularization: Fundamental, state-of-the-art methodologies and applications on fault diagnosis
Qing Li
Expert Systems with Applications (2023) Vol. 229, pp. 120517-120517
Open Access | Times Cited: 30
Research on the generalisation method of diesel engine exhaust valve leakage fault diagnosis based on acoustic emission
Jia Hu, Yonghua Yu, Jianguo Yang, et al.
Measurement (2023) Vol. 210, pp. 112560-112560
Closed Access | Times Cited: 28
Bearing Fault Diagnosis Based on Multisensor Information Coupling and Attentional Feature Fusion
Shaoke Wan, Tianqi Li, Bin Fang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 26
CDTFAFN: A novel coarse-to-fine dual-scale time-frequency attention fusion network for machinery vibro-acoustic fault diagnosis
Xiaoan Yan, Dong Jiang, Ling Xiang, et al.
Information Fusion (2024) Vol. 112, pp. 102554-102554
Closed Access | Times Cited: 11
A Novel Fault Diagnosis Method Based on SWT and VGG-LSTM Model for Hydraulic Axial Piston Pump
Yong Zhu, Hong Su, Shengnan Tang, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 3, pp. 594-594
Open Access | Times Cited: 20
Knowledge addition for improving the transfer learning from the laboratory to identify defects of hydraulic machinery
Anil Kumar, Adam Głowacz, Hesheng Tang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106756-106756
Closed Access | Times Cited: 20
Latest innovations in the field of condition-based maintenance of rotatory machinery: a review
Anil Kumar, Chander Parkash, Hesheng Tang, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 2, pp. 022003-022003
Closed Access | Times Cited: 20
Subsequence Time Series Clustering-Based Unsupervised Approach for Anomaly Detection of Axial Piston Pumps
Chang Dong, Jianfeng Tao, Qun Chao, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 18
Application of analysis of variance to determine important features of signals for diagnostic classifiers of displacement pumps
Jarosław Konieczny, Waldemar Łatas, Jerzy Stojek
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
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
A rolling bearing fault diagnosis method based on vibro-acoustic data fusion and fast Fourier transform (FFT)
Xiao Fang, Jianbo Zheng, Bin Jiang
International Journal of Data Science and Analytics (2024)
Closed Access | Times Cited: 5
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
A novel hierarchical training architecture for Siamese Neural Network based fault diagnosis method under small sample
Juanru Zhao, Yuan Mei, Jin Cui, et al.
Measurement (2023) Vol. 215, pp. 112851-112851
Closed Access | Times Cited: 14
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
Bearing fault diagnosis based on transfer learning with dual-flow manifold ResNet and improved CapsNet
L Yao, Hongwei Wang, Tao Lei, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076123-076123
Closed Access | Times Cited: 4
Intelligent fault diagnosis methods for hydraulic components based on information fusion: review and prospects
Hanlin Guan, Yan Ren, Hesheng Tang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 082001-082001
Closed Access | Times Cited: 4
A diesel engine valve leakage fault diagnostic method using modified VGG19 and transfer learning
Yijie Cai, Xiaoye Dai, Zhe Xu, et al.
Ships and Offshore Structures (2025), pp. 1-10
Closed Access
Current Status and Applications for Hydraulic Pump Fault Diagnosis: A Review
Yanfang Yang, Lei Ding, Jinhua Xiao, et al.
Sensors (2022) Vol. 22, Iss. 24, pp. 9714-9714
Open Access | Times Cited: 19
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