OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Method using L-kurtosis and enhanced clustering-based segmentation to detect faults in axial piston pumps
Qiang Gao, Jiawei Xiang, Shumin Hou, et al.
Mechanical Systems and Signal Processing (2020) Vol. 147, pp. 107130-107130
Closed Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

An improved convolutional neural network with an adaptable learning rate towards multi-signal fault diagnosis of hydraulic piston pump
Shengnan Tang, Yong Zhu, Shouqi Yuan
Advanced Engineering Informatics (2021) Vol. 50, pp. 101406-101406
Closed Access | Times Cited: 151

A novel adaptive convolutional neural network for fault diagnosis of hydraulic piston pump with acoustic images
Shengnan Tang, Yong Zhu, Shouqi Yuan
Advanced Engineering Informatics (2022) Vol. 52, pp. 101554-101554
Closed Access | Times Cited: 119

Intelligent fault diagnosis of hydraulic piston pump combining improved LeNet-5 and PSO hyperparameter optimization
Yong Zhu, Guangpeng Li, Rui Wang, et al.
Applied Acoustics (2021) Vol. 183, pp. 108336-108336
Closed Access | Times Cited: 117

An adaptive deep learning model towards fault diagnosis of hydraulic piston pump using pressure signal
Shengnan Tang, Yong Zhu, Shouqi Yuan
Engineering Failure Analysis (2022) Vol. 138, pp. 106300-106300
Closed Access | Times Cited: 80

Feature identification based on cepstrum-assisted frequency slice function for bearing fault diagnosis
C. Ma, Wenxu Zhang, Mengdi Shi, et al.
Measurement (2025), pp. 116753-116753
Closed Access | Times Cited: 4

Noise subtraction and marginal enhanced square envelope spectrum (MESES) for the identification of bearing defects in centrifugal and axial pump
Anil Kumar, Hesheng Tang, Govind Vashishtha, et al.
Mechanical Systems and Signal Processing (2021) Vol. 165, pp. 108366-108366
Closed Access | Times Cited: 81

A chatter detection method in milling of thin-walled TC4 alloy workpiece based on auto-encoding and hybrid clustering
Yichao Dun, Lida Zhu, Boling Yan, et al.
Mechanical Systems and Signal Processing (2021) Vol. 158, pp. 107755-107755
Closed Access | Times Cited: 67

Numerical and experimental analysis of rotor-bearing system for axial piston pump with misalignment–rubbing coupling fault
Hesheng Tang, Yan Ren, Jiawei Xiang, et al.
Journal of Sound and Vibration (2023) Vol. 559, pp. 117786-117786
Closed Access | Times Cited: 25

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

Predictive Monitoring of Incipient Faults in Rotating Machinery: A Systematic Review from Data Acquisition to Artificial Intelligence
Kanika Saini, S. S. Dhami, Vanraj
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 6, pp. 4005-4026
Closed Access | Times Cited: 23

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: 14

Ultrasonic reflection measured oil film thickness in the slipper bearings of an aviation fuel piston pump
Peng Zheng, Pan Dou, Quanzhong Wu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 220, pp. 111696-111696
Closed Access | Times Cited: 5

A Fault Detection Method for a Practical Electro-Hydraulic Variable-Displacement Pump With Unknown Swashplate Moment
Bing Xu, Xiaochen Huang, Junhui Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 12

Frequency-enhanced network with self-supervised learning for anomaly detection of hydraulic piston pumps
Minseok Choi, C. C. Lee, Se Chang Park, et al.
Expert Systems with Applications (2025), pp. 127662-127662
Closed Access

Physics informed neural networks for detecting the wear of friction pairs in axial piston pumps
Qun Chao, Yong Hu, Chengliang Liu
Reliability Engineering & System Safety (2025), pp. 111144-111144
Closed Access

Dynamic modelling of swashplate with local defects in axial piston pump and coupled vibration analysis
Pingting Ying, Hesheng Tang, Shaogan Ye, et al.
Mechanical Systems and Signal Processing (2022) Vol. 189, pp. 110081-110081
Closed Access | Times Cited: 17

A multivariate time series segmentation algorithm for analyzing the operating statuses of tunnel boring machines
Yong Pang, Maolin Shi, Liyong Zhang, et al.
Knowledge-Based Systems (2022) Vol. 242, pp. 108362-108362
Closed Access | Times Cited: 16

Encogram: An autonomous weak transient fault enhancement strategy and its application in bearing fault diagnosis
Binghuan Cai, Long Zhang, Gang Tang
Measurement (2022) Vol. 206, pp. 112333-112333
Closed Access | Times Cited: 16

Differgram: A convex optimization-based method for extracting optimal frequency band for fault diagnosis of rotating machinery
Jianchun Guo, Yi Liu, Ronggang Yang, et al.
Expert Systems with Applications (2023) Vol. 245, pp. 123051-123051
Closed Access | Times Cited: 10

Inverse transient analysis based calibration of surrogate pipeline model for fault simulation of axial piston pumps
Chang Dong, Jianfeng Tao, Hao Sun, et al.
Mechanical Systems and Signal Processing (2023) Vol. 205, pp. 110829-110829
Closed Access | Times Cited: 8

Intelligent Diagnosis towards Hydraulic Axial Piston Pump Using a Novel Integrated CNN Model
Shengnan Tang, Yong Zhu, Shouqi Yuan, et al.
Sensors (2020) Vol. 20, Iss. 24, pp. 7152-7152
Open Access | Times Cited: 20

Experimental test and theoretical modeling on the working characteristics of spherical water pump
Dong Guan, Xiaojie Cong, Jing Li, et al.
Flow Measurement and Instrumentation (2022) Vol. 85, pp. 102162-102162
Closed Access | Times Cited: 12

A Semiautomatic Image Processing-Based Method for Binary Segmentation of Lungs in Computed Tomography Images
Leo Ramos, Israel Pineda
SN Computer Science (2024) Vol. 5, Iss. 6
Closed Access | Times Cited: 2

SCAE—Stacked Convolutional Autoencoder for Fault Diagnosis of a Hydraulic Piston Pump with Limited Data Samples
Oybek Eraliev, Kwang‐Hee Lee, Chul-Hee Lee
Sensors (2024) Vol. 24, Iss. 14, pp. 4661-4661
Open Access | Times Cited: 2

Volumetric efficiency degradation prediction of axial piston pump based on friction and wear test
Wenlong Yin, Jin Zhang, Xu Wang, et al.
Heliyon (2024) Vol. 10, Iss. 17, pp. e37334-e37334
Open Access | Times Cited: 2

Page 1 - Next Page

Scroll to top