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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 novel rolling bearing fault diagnosis method based on Adaptive Denoising Convolutional Neural Network under noise background
Qiang Wang, Feiyun Xu
Measurement (2023) Vol. 218, pp. 113209-113209
Closed Access | Times Cited: 25

Showing 25 citing articles:

A Novel Wind Turbine Rolling Element Bearing Fault Diagnosis Method Based on CEEMDAN and Improved TFR Demodulation Analysis
Dahai Zhang, Yiming Wang, Yongjian Jiang, et al.
Energies (2024) Vol. 17, Iss. 4, pp. 819-819
Open Access | Times Cited: 11
Rolling bearing fault diagnosis based on multiple wavelet coefficient dimensionality reduction and improved residual network
Xiaoyang Zheng, Peixi Yang, Kai Yan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108087-108087
Closed Access | Times Cited: 9
Fault diagnosis of high-speed rolling bearings based on multi-feature fusion fuzzy c-means
Wenguang Luo, Junning Li, Maokang Song, et al.
Digital Signal Processing (2025), pp. 105011-105011
Closed Access
A local and global multi-head relation self-attention network for fault diagnosis of rotating machinery under noisy environments
Yiwei Cheng, Xinnuo Lin, Wenwei Liu, et al.
Applied Soft Computing (2025), pp. 113138-113138
Closed Access
Fault diagnosis of electric ship propulsion motor based on modified secondary decomposition and DE-BCECAN under strong noise background
Rupeng Zhu, Tao Wang, Enzhe Song, et al.
Ocean Engineering (2025) Vol. 331, pp. 121264-121264
Closed Access
Fault diagnosis of axle-box bearing in electric multiple unit based on transfer learning network with feedback control input strategy
Jiandong Qiu, Qiang Zhang, Minan Tang, et al.
Measurement Science and Technology (2025) Vol. 36, Iss. 5, pp. 056123-056123
Closed Access
WD-KANTF: An interpretable intelligent fault diagnosis framework for rotating machinery under noise environments and small sample conditions
Yazhou Zhang, Xiaoqiang Zhao, Zhenrui Peng, et al.
Advanced Engineering Informatics (2025) Vol. 66, pp. 103452-103452
Closed Access
A meta transfer learning method for gearbox fault diagnosis with limited data
Daoming She, Zhichao Yang, Yudan Duan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086114-086114
Closed Access | Times Cited: 3
Research on rolling bearing fault diagnosis technology based on singular value decomposition
Jingfang Ji, Jingmin Ge
AIP Advances (2024) Vol. 14, Iss. 8
Open Access | Times Cited: 2
Noise Reduction Method for Wind Turbine Gearbox Vibration Signals Based on CVMD-DRDSAE
Yao Jinbao, B. Yue, Yizhu Wang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116146-116146
Closed Access | Times Cited: 2
CASSAD: Chroma-Augmented Semi-Supervised Anomaly Detection for Conveyor Belt Idlers
Fahad Alharbi, Suhuai Luo, Abdullah Alsaedi, et al.
Sensors (2024) Vol. 24, Iss. 23, pp. 7569-7569
Open Access | Times Cited: 2
Integrating the maximum mean discrepancy metric with time–frequency enhanced convolutional neural networks for fault diagnosis
Xueyi Li, Peng Yuan, Jun Yu, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 2
Bearing Fault Vibration Signal Denoising Based on Adaptive Denoising Autoencoder
Haifei Lu, Kedong Zhou, Lei He
(2024)
Open Access | Times Cited: 2
Research on a Bearing Fault Diagnosis Method Based on an Improved Wasserstein Generative Adversarial Network
Chengshun Zhu, Wei Lin, Hongji Zhang, et al.
Machines (2024) Vol. 12, Iss. 8, pp. 587-587
Open Access | Times Cited: 2
An adaptive fully convolutional network for bearing fault diagnosis under noisy environments
Xinliang Zhang, Guanlin Liu, Yitian Zhou, et al.
Review of Scientific Instruments (2024) Vol. 95, Iss. 4
Closed Access | Times Cited: 1
Bispectrum analysis and Convolutional Neural Network Based Feature Extraction and Classification
Jing Yang, Jianwen Chen, Chuanshui Liu, et al.
2022 34th Chinese Control and Decision Conference (CCDC) (2024), pp. 3931-3935
Closed Access | Times Cited: 1
Rolling bearing fault diagnosis method based on multi-scale pooling residual convolutional neural network under noisy environment
Chengxiang Miao, Chunli Lei, Y.B. Yu, et al.
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2024)
Open Access | Times Cited: 1
A hybrid deep learning network for diagnosing multipoint faults in rolling bearings under variable operating conditions
Y. Huang, Changfeng Yan, Bin Liu, et al.
Journal of Mechanical Science and Technology (2024) Vol. 38, Iss. 11, pp. 5989-6003
Closed Access | Times Cited: 1
A cross-domain intelligent fault diagnosis method based on multi-source domain feature adaptation and selection
Ning Jia, Weiguo Huang, Yao Cheng, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 4, pp. 046108-046108
Closed Access | Times Cited: 3
A receptive field transfer strategy via layer-aligned distillation learning for fault signal denoising
Huaxiang Pu, Ke Zhang, Haifeng Li
Measurement Science and Technology (2023) Vol. 35, Iss. 4, pp. 045904-045904
Closed Access | Times Cited: 1
Robustness of Bayesian Random Forest in High-Dimensional Analysis with Missing Data
Haifei Lu, Kedong Zhou, Lei He
(2024)
Open Access
Bearing Fault Vibration Signal Denoising Based on Adaptive Denoising Autoencoder
Haifei Lu, Kedong Zhou, Lei He
Electronics (2024) Vol. 13, Iss. 12, pp. 2403-2403
Open Access
Fault diagnosis method for rotating machinery based on SEDenseNet and Gramian Angular Field
Ruoyang Bai, Hongwei Wang, Wenlei Sun, et al.
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2024) Vol. 26, Iss. 4
Open Access
Cross-domain manifold structure preservation for transferable and cross-machine fault diagnosis
Can Li, Guangbin Wang, Shubiao Zhao, et al.
Journal of Vibroengineering (2024) Vol. 26, Iss. 6, pp. 1367-1384
Open Access
Bearing Fault Diagnosis via Graph Autoencoder Networks with Multi-kernel Subdomain Adversarial Domain Adaptation
Junfeng Guo, HU Ze-ming, Zhiming Wang, et al.
Journal of Failure Analysis and Prevention (2024)
Closed Access
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