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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 hybrid deep-learning model for fault diagnosis of rolling bearings in strong noise environments
Ke Zhang, Caizi Fan, Xiaochen Zhang, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 6, pp. 065103-065103
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Multi-scale residual neural network with enhanced gated recurrent unit for fault diagnosis of rolling bearing
Weiqing Liao, Wenlong Fu, Ke Yang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056114-056114
Closed Access | Times Cited: 11
Review of research on signal decomposition and fault diagnosis of rolling bearing based on vibration signal
Junning Li, Luo Wen-guang, Mengsha Bai
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 092001-092001
Closed Access | Times Cited: 9
Performance degradation assessment of rolling bearing cage failure based on enhanced CycleGAN
Caizi Fan, Pengfei Wang, Hui Ma, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124697-124697
Closed Access | Times Cited: 8
A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings With Low System Delay
Sulaiman Aburakhia, Ryan Myers, Abdallah Shami
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-13
Open Access | Times Cited: 33
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 metric-based model with the ability of zero-shot learning for intelligent fault diagnosis
Caizi Fan, Yongchao Zhang, Hui Ma, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107605-107605
Closed Access | Times Cited: 16
SLDAE: An interpretable stacked Denoising Auto-Encoders for fan fault diagnosis on steelmaking workshops
Xiaoqiang Liao, Dong Wang, Siqi Qiu, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103260-103260
Closed Access
Similarity index of the STFT-based health diagnosis of variable speed rotating machines
Muhammad Ahsan, Mostafa M. Salah
Intelligent Systems with Applications (2023) Vol. 20, pp. 200270-200270
Open Access | Times Cited: 7
On the Intersection of Signal Processing and Machine Learning: A Use Case-Driven Analysis Approach
Sulaiman Aburakhia, Abdallah Shami, George K. Karagiannidis
(2024)
Open Access | Times Cited: 2
Multi-channel data fusion and intelligent fault diagnosis based on deep learning
Yiming Guo, Tao Hu, Yifan Zhou, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 1, pp. 015115-015115
Closed Access | Times Cited: 11
Collision Localization and Classification on the End-Effector of a Cable-Driven Manipulator Applied to EV Auto-Charging Based on DCNN–SVM
Haoyu Lin, Pengkun Quan, Zhuo Liang, et al.
Sensors (2022) Vol. 22, Iss. 9, pp. 3439-3439
Open Access | Times Cited: 9
Research on Acoustic Methods for Buried PE Pipeline Detection Based on LSTM Neural Networks
Yongsheng Qi, Xinhua Wang, Xuyun Yang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096001-096001
Closed Access | Times Cited: 1
Rolling bearing fault diagnosis based on correlated channel attention-optimized convolutional neural networks
Jing Zhu, Li Ou, Ming‐Hui Chen, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096137-096137
Closed Access | Times Cited: 1
An improved autoencoder for denoising acoustic emission signals in rock fracturing
Tingting Wang, Yifan Qin, Wanchun Zhao, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-26
Closed Access | Times Cited: 1
MRNet: Rolling bearing fault diagnosis in noisy environment based on multi-scale residual convolutional network
Linfeng Deng, Cheng Zhao, Xiaoqiang Wang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 126136-126136
Closed Access | Times Cited: 1
Intelligent fault warning method of rotating machinery with intraclass and interclass infographic embedding
Zejin Sun, Youren Wang, Jiahao Gao
Measurement Science and Technology (2022) Vol. 33, Iss. 11, pp. 114008-114008
Closed Access | Times Cited: 7
Intelligent fault diagnosis of planetary gearboxes under time-varying conditions based on dynamic adversarial balance adaptation with multi-label information confusion
Songjun Han, Zhipeng Feng
Measurement Science and Technology (2023) Vol. 34, Iss. 6, pp. 065014-065014
Closed Access | Times Cited: 3
An Efficient I-PixelHop Framework Based on Spark-GPU for Intelligent Fault Diagnosis
Lanjun Wan, Zheng Zhou, Jiaen Ning, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 13, pp. 14601-14617
Closed Access | Times Cited: 3
Imbalanced Bearing Fault Diagnosis Based on RFH-GAN and PSA-DRSN
Zhidan Zhong, Hao Liu, Wentao Mao, et al.
IEEE Access (2023) Vol. 11, pp. 131926-131938
Open Access | Times Cited: 3
MITDCNN: A multi-modal input Transformer-based deep convolutional neural network for misfire signal detection in high-noise diesel engines
Wenjie Li, Xiangpeng Liu, D.H. Wang, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121797-121797
Closed Access | Times Cited: 2
Investigation on the influence of temperature-variation clearance on the frequency of rolling bearing defects
Wenjie An, Yanling Gu, Changzheng Chen, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 066126-066126
Closed Access
Analysis of hot spots and trends in rolling bearing fault diagnosis research based on scientific knowledge mapping
Bin Chen, Yang Zhao, Yuteng Zhang, et al.
Engineering Research Express (2024) Vol. 6, Iss. 2, pp. 025536-025536
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
Fault diagnosis method of rotating machinery based on MSResNet feature fusion and CAM
Linhao Du
Journal of Vibroengineering (2024)
Open Access
Machine Learning-Enhanced Vision Systems for Cutting Tool Notch Detection in New Energy Battery Manufacturing
Ying Zheng, Muzi Wang, Gongchao Chen, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 016017-016017
Closed Access
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