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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:

Periodic component pursuit-based kurtosis deconvolution and its application in roller bearing compound fault diagnosis
Haiyang Pan, Xuelin Yin, Jian Cheng, et al.
Mechanism and Machine Theory (2023) Vol. 185, pp. 105337-105337
Closed Access | Times Cited: 20

Showing 20 citing articles:

Compound fault diagnosis of diesel engines by combining generative adversarial networks and transfer learning
Zhiquan Cui, Yanlin Lu, Yan Xu, et al.
Expert Systems with Applications (2024) Vol. 251, pp. 123969-123969
Closed Access | Times Cited: 10
A review on convolutional neural network in rolling bearing fault diagnosis
Xin Li, Zengqiang Ma, Zonghao Yuan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 072002-072002
Closed Access | Times Cited: 9
Optimization of spectral kurtosis-based filtering through flow direction algorithm for early fault detection
Govind Vashishtha, Sumika Chauhan, Radosław Zimroz, et al.
Measurement (2024), pp. 115737-115737
Closed Access | Times Cited: 6
Bearing Fault Diagnosis Using Multichannel Broad Learning System Based on Positive–Negative Weighted Voting Mechanism
Tiantian Lu, Jianbin Xiong, Jiehan Zhou, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Open Access | Times Cited: 5
Multi-period impulse cyclic spectrum based on optimized RSSD for bearing compound fault diagnosis
Xiaofeng Liu, Qiushi Xu, Daiping Wei, et al.
Applied Acoustics (2025) Vol. 231, pp. 110525-110525
Closed Access
A meta-learning method based on meta-feature enhancement for bearing fault identification under few-sample conditions
Xianze Li, Guopeng Zhu, Aijun Hu, et al.
Mechanical Systems and Signal Processing (2025) Vol. 226, pp. 112370-112370
Closed Access
Rolling Bearing Fault Diagnosis Based on Wavelet Overlapping Group Shrinkage and Extended Envelope Hierarchical Multiscale-Weighted Permutation Entropy
Runfang Hao, Yingjie Bai, Kun Yang, et al.
Machines (2025) Vol. 13, Iss. 4, pp. 278-278
Open Access
A numerical simulation enhanced multi-task integrated learning network for fault detection in rotation vector reducers
Hui Wang, Shuhui Wang, Ronggang Yang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 217, pp. 111525-111525
Closed Access | Times Cited: 3
Adaptive resonance demodulation semantic-induced zero-shot compound fault diagnosis for railway bearings
Shaoning Tian, Dong Zhen, Haiyang Li, et al.
Measurement (2024) Vol. 235, pp. 115040-115040
Closed Access | Times Cited: 3
Vibrational resonance mechanism in the high-order-degradation bistable system and its application in fault diagnosis
Haitao Xu, Shengxi Zhou
Structural Health Monitoring (2024)
Closed Access | Times Cited: 2
A post-processing method called Fourier transform based on local maxima of autocorrelation function for extracting fault feature of bearings
Tao Liu, Xinsan Li, Junshuai Sun, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102766-102766
Closed Access | Times Cited: 2
Maximum L-Kurtosis deconvolution and frequency-domain filtering algorithm for bearing fault diagnosis
Haitao Xu, Shengxi Zhou
Mechanical Systems and Signal Processing (2024) Vol. 223, pp. 111916-111916
Closed Access | Times Cited: 2
Bearing Multifault Impulse Detection Using Spike Period Volatility Factor Spectrogram
Lin Bo, Jin Huang, Yuanliang Bi, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 9, pp. 11035-11044
Closed Access | Times Cited: 1
A noise generative network to reduce the gap between simulation and measurement signals in mechanical fault diagnosis
Hui Wang, Shuhui Wang, Ronggang Yang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108917-108917
Closed Access | Times Cited: 1
An Optimized Dynamic Model Improved Deep Discriminative Transfer Learning Network for Fault Detection in Rotation Vector Reducers
Hui Wang, Shuhui Wang, Ronggang Yang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110331-110331
Closed Access | Times Cited: 1
Enhanced multi-layer Ramanujan decomposition: an effective rolling bearing condition monitoring method
Jian Song, Yingzhong Tian
Nondestructive Testing And Evaluation (2024), pp. 1-18
Closed Access | Times Cited: 1
Empirical variational mode extraction and its application in bearing fault diagnosis
Bin Pang, Yanjie Zhao, Changqi Yu, et al.
Applied Acoustics (2024) Vol. 228, pp. 110349-110349
Closed Access | Times Cited: 1
An intelligent multi-element fault diagnosis method of rolling bearings considering damage degrees and sensor abnormity under small samples
Hongwei Fan, Buran Chen, Xiangang Cao, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2024)
Closed Access | Times Cited: 1
Normal Sinkhorn Distance: A novel metric for evaluating generated signals and its application in mechanical fault diagnosis
Rugen Wang, Zhuyun Chen, Weihua Li
Mechanical Systems and Signal Processing (2023) Vol. 198, pp. 110449-110449
Closed Access | Times Cited: 2
Prediction of rolling bearing performance degradation based on whale optimization algorithm and backpropagation model
Jingyue Wang, Y. Han, Haotian Wang, et al.
Journal of low frequency noise, vibration and active control (2024)
Open Access
Compound faults identification of rolling bearing based on one-dimensional mixed binary pattern
M. C. Fang, Mingyue Yu, Haonan Cong, et al.
Journal of Vibration and Control (2023)
Closed Access
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