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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.

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Showing 1-25 of 56 citing articles:

Autoencoder-based representation learning and its application in intelligent fault diagnosis: A review
Zheng Rong Yang, Binbin Xu, Wei Luo, et al.
Measurement (2021) Vol. 189, pp. 110460-110460
Closed Access | Times Cited: 139
Wavelet transform for rotary machine fault diagnosis:10 years revisited
Ruqiang Yan, Zuogang Shang, Hong Xu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110545-110545
Closed Access | Times Cited: 101
WavCapsNet: An Interpretable Intelligent Compound Fault Diagnosis Method by Backward Tracking
Weihua Li, Hao Lan, Junbin Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 57
Fault Detection and Identification Method for Quadcopter Based on Airframe Vibration Signals
Xiaomin Zhang, Zhiyao Zhao, Zhaoyang Wang, et al.
Sensors (2021) Vol. 21, Iss. 2, pp. 581-581
Open Access | Times Cited: 84
Bayesian optimization and channel-fusion-based convolutional autoencoder network for fault diagnosis of rotating machinery
Li Zou, Keming Zhuang, Anthony Y. Zhou, et al.
Engineering Structures (2023) Vol. 280, pp. 115708-115708
Closed Access | Times Cited: 30
Biologically inspired compound defect detection using a spiking neural network with continuous time–frequency gradients
Zisheng Wang, Shaochen Li, Jianping Xuan, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103132-103132
Closed Access | Times Cited: 1
Bearing Fault Classification Using Ensemble Empirical Mode Decomposition and Convolutional Neural Network
Rafia Nishat Toma, Cheol Hong Kim, Jong-Myon Kim
Electronics (2021) Vol. 10, Iss. 11, pp. 1248-1248
Open Access | Times Cited: 53
Deep learning for the detection of machining vibration chatter
Cheick Abdoul Kadir A. Kounta, Lionel Arnaud, Bernard Kamsu-Foguem, et al.
Advances in Engineering Software (2023) Vol. 180, pp. 103445-103445
Open Access | Times Cited: 21
Robust time series denoising with learnable wavelet packet transform
Gaëtan Frusque, Olga Fink
Advanced Engineering Informatics (2024) Vol. 62, pp. 102669-102669
Open Access | Times Cited: 7
Intelligent identification of incipient rolling bearing faults based on VMD and PCA-SVM
Linfeng Deng, Aihua Zhang, Rongzhen Zhao
Advances in Mechanical Engineering (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 23
A Deep Convolution Multi-Adversarial adaptation network with Correlation Alignment for fault diagnosis of rotating machinery under different working conditions
Li Jiang, Lei Wei, Shuaiyu Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107179-107179
Closed Access | Times Cited: 14
Rolling bearing fault diagnosis method using time-frequency information integration and multi-scale TransFusion network
Zekun Wang, Zifei Xu, Chang Cai, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111344-111344
Closed Access | Times Cited: 14
Automatic moisture content detection in concrete based on percussion method combined with deep learning
Wenjie Huang, Longguang Peng, Zezhong Zheng, et al.
Measurement (2025), pp. 116755-116755
Closed Access
Multi-Objective Power Supply Restoration in Distribution Networks Based on Graph Calculation and Information Collected by Multi-Source Sensors
Jian Dang, Shaopeng Zhang, Y.J. Wang, et al.
Sensors (2025) Vol. 25, Iss. 3, pp. 768-768
Open Access
Deep Learning in Industrial Machinery: A Critical Review of Bearing Fault Classification Methods
Attiq Ur Rehman, Weidong Jiao, Yonghua Jiang, et al.
Applied Soft Computing (2025), pp. 112785-112785
Closed Access
Multi-level and multi-scale cross attention network of wavelet packet transform for supersonic inlet unstart prediction
Yujie Wang, Yong-Ping Zhao, Yi Jin
Expert Systems with Applications (2025) Vol. 272, pp. 126782-126782
Closed Access
Multisource Heterogeneous Information Selective Fusion Network for Fault Diagnosis of Rolling Bearings
Shoucong Xiong, Leping Zhang, Yingxin Yang, et al.
Structural Control and Health Monitoring (2025) Vol. 2025, Iss. 1
Open Access
A Review on the Role of Tunable Q-Factor Wavelet Transform in Fault Diagnosis of Rolling Element Bearings
A. Anwarsha, T. Narendiranath Babu
Journal of Vibration Engineering & Technologies (2022) Vol. 10, Iss. 5, pp. 1793-1808
Closed Access | Times Cited: 20
A Bearing Fault Classification Framework Based on Image Encoding Techniques and a Convolutional Neural Network under Different Operating Conditions
Rafia Nishat Toma, Farzin Piltan, Kichang Im, et al.
Sensors (2022) Vol. 22, Iss. 13, pp. 4881-4881
Open Access | Times Cited: 20
An Integrated Deep Learning Method towards Fault Diagnosis of Hydraulic Axial Piston Pump
Shengnan Tang, Shouqi Yuan, Yong Zhu, et al.
Sensors (2020) Vol. 20, Iss. 22, pp. 6576-6576
Open Access | Times Cited: 29
A Novel Pipeline Corrosion Monitoring Method Based on Piezoelectric Active Sensing and CNN
Dan Yang, Xinyi Zhang, Ti Zhou, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 855-855
Open Access | Times Cited: 9
Research on a Rolling Bearing Fault Detection Method With Wavelet Convolution Deep Transfer Learning
Mengliang Liao, Chang Liu, Cong Wang, et al.
IEEE Access (2021) Vol. 9, pp. 45175-45188
Open Access | Times Cited: 19
An Improved Variational Mode Decomposition and Its Application on Fault Feature Extraction of Rolling Element Bearing
Guoping An, Qingbin Tong, Yanan Zhang, et al.
Energies (2021) Vol. 14, Iss. 4, pp. 1079-1079
Open Access | Times Cited: 18
Interpretable parallel channel encoding convolutional neural network for bearing fault diagnosis
Qingbin Tong, Shouxin Du, Xuedong Jiang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 066001-066001
Closed Access | Times Cited: 2
A pipeline corrosion detecting method using percussion and residual neural network
Dan Yang, Songlin Ji, Tao Wang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086009-086009
Closed Access | Times Cited: 2
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