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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:

Intelligent vibration signal denoising method based on non-local fully convolutional neural network for rolling bearings
Haoran Han, Huan Wang, Zhiliang Liu, et al.
ISA Transactions (2021) Vol. 122, pp. 13-23
Closed Access | Times Cited: 60

Showing 1-25 of 60 citing articles:

Attention-guided joint learning CNN with noise robustness for bearing fault diagnosis and vibration signal denoising
Huan Wang, Zhiliang Liu, Dandan Peng, et al.
ISA Transactions (2021) Vol. 128, pp. 470-484
Closed Access | Times Cited: 147
Interpretable convolutional neural network with multilayer wavelet for Noise-Robust Machinery fault diagnosis
Huan Wang, Zhiliang Liu, Dandan Peng, et al.
Mechanical Systems and Signal Processing (2023) Vol. 195, pp. 110314-110314
Closed Access | Times Cited: 89
GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis
Linshan Jia, Tommy W. S. Chow, Yixuan Yuan
Engineering Applications of Artificial Intelligence (2023) Vol. 119, pp. 105794-105794
Closed Access | Times Cited: 82
Dconformer: A denoising convolutional transformer with joint learning strategy for intelligent diagnosis of bearing faults
Sheng Li, Jinchen Ji, Yadong Xu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 210, pp. 111142-111142
Closed Access | Times Cited: 30
PSparseFormer: Enhancing Fault Feature Extraction Based on Parallel Sparse Self-Attention and Multiscale Broadcast Feedforward Block
Jie Wang, Haidong Shao, Ying Peng, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 22982-22991
Closed Access | Times Cited: 26
Multiscale Residual Attention Convolutional Neural Network for Bearing Fault Diagnosis
Linshan Jia, Tommy W. S. Chow, Yu Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-13
Closed Access | Times Cited: 51
Multi-layer convolutional dictionary learning network for signal denoising and its application to explainable rolling bearing fault diagnosis
Yi Qin, Rui Yang, Biao He, et al.
ISA Transactions (2024) Vol. 147, pp. 55-70
Closed Access | Times Cited: 7
Long-range Dependencies Learning Based on Non-Local 1D-Convolutional Neural Network for Rolling Bearing Fault Diagnosis
Huan Wang, Zhiliang Liu, Ting Ai
Journal of Dynamics Monitoring and Diagnostics (2022), pp. 148-159
Open Access | Times Cited: 30
Average Descent Rate Singular Value Decomposition and Two-Dimensional Residual Neural Network for Fault Diagnosis of Rotating Machinery
Haopeng Liang, Jie Cao, Xiaoqiang Zhao
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-16
Closed Access | Times Cited: 30
Trustworthy Fault Diagnosis With Uncertainty Estimation Through Evidential Convolutional Neural Networks
Hanting Zhou, Wenhe Chen, Longsheng Cheng, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 11, pp. 10842-10852
Open Access | Times Cited: 21
Fault Diagnosis Method and Application Based on Multi-scale Neural Network and Data Enhancement for Strong Noise
Zhehui Shao, Wenqiang Li, Hai Xiang, et al.
Journal of Vibration Engineering & Technologies (2023) Vol. 12, Iss. 1, pp. 295-308
Closed Access | Times Cited: 19
SKND-TSACNN: A novel time-scale adaptive CNN framework for fault diagnosis of rotating machinery
Zidong Yu, Changhe Zhang, Jie Liu, et al.
Knowledge-Based Systems (2023) Vol. 275, pp. 110682-110682
Closed Access | Times Cited: 16
A novel convolutional neural network with global perception for bearing fault diagnosis
Xianguo Li, Ying Chen, Yi Liu
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 109986-109986
Closed Access
CycleGAN denoising of recurrence plots of rolling bearing vibration signals for improved fault classification
Thomas Joseph, U. Sudeep, K. Keerthi Krishnan
Journal of Mechanical Science and Technology (2025)
Closed Access
Intelligent machine fault diagnosis with effective denoising using EEMD-ICA- FuzzyEn and CNN
Hanting Zhou, Wenhe Chen, Changqing Shen, et al.
International Journal of Production Research (2022) Vol. 61, Iss. 23, pp. 8252-8264
Closed Access | Times Cited: 27
Feature extraction of rolling bearing multiple faults based on correlation coefficient and Hjorth parameter
Mingyue Yu, Minghe Fang
ISA Transactions (2022) Vol. 129, pp. 442-458
Closed Access | Times Cited: 26
Fault Diagnosis of Rolling Bearings Based on Adaptive Denoising Residual Network
Yiwen Chen, Xinggui Zeng, Haisheng Huang
Processes (2025) Vol. 13, Iss. 1, pp. 151-151
Open Access
A novel interpretable fault diagnosis method using multi-image feature extraction and attention fusion
Jie Wang, Haidong Shao, He Jing, et al.
Pattern Recognition Letters (2025) Vol. 189, pp. 38-47
Closed Access
A diffusion model-based deep learning approach for denoising acoustic emission signals in concrete
Wei Fu, Ruohua Zhou, Yan Gao, et al.
Measurement (2025), pp. 117143-117143
Closed Access
Improving purity of blasting vibration signals using advanced Empirical Mode Decomposition and Wavelet packet technique
Zilong Zhou, Jinkun Zhang, Ruishan Cheng, et al.
Applied Acoustics (2022) Vol. 201, pp. 109097-109097
Closed Access | Times Cited: 20
Wind turbine pitch bearing fault detection with Bayesian augmented temporal convolutional networks
Chao Zhang, Long Zhang
Structural Health Monitoring (2023) Vol. 23, Iss. 2, pp. 1089-1106
Open Access | Times Cited: 11
Denoising the hob vibration signal using improved complete ensemble empirical mode decomposition with adaptive noise and noise quantization strategies
Han Zhou, Ping Yan, Yanfei Yuan, et al.
ISA Transactions (2022) Vol. 131, pp. 715-735
Closed Access | Times Cited: 16
Trustworthy and intelligent fault diagnosis with effective denoising and evidential stacked GRU neural network
Hanting Zhou, Wenhe Chen, Jing Liu, et al.
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 7, pp. 3523-3542
Open Access | Times Cited: 9
Self-Supervised Defect Representation Learning for Label-Limited Rail Surface Defect Detection
Yanggang Xu, Huan Wang, Zhiliang Liu, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 23, pp. 29235-29246
Closed Access | Times Cited: 9
Novel adaptive loss weighted transfer network for partial domain fault diagnosis
Tongzhuo Han, Jinxi Wang, Peng Chang, et al.
ISA Transactions (2023) Vol. 145, pp. 362-372
Closed Access | Times Cited: 9
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