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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:

Multiscale Convolutional Neural Network With Feature Alignment for Bearing Fault Diagnosis
Junbin Chen, Ruyi Huang, Kun Zhao, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-10
Closed Access | Times Cited: 68

Showing 51-75 of 68 citing articles:

Intelligent fault diagnosis of rotating machinery using lightweight network with modified tree‐structured parzen estimators
Jingkang Liang, Yixiao Liao, Zhuyun Chen, et al.
IET Collaborative Intelligent Manufacturing (2022) Vol. 4, Iss. 3, pp. 194-207
Open Access | Times Cited: 7
Effective Convolutional Transformer for Highly Accurate Planetary Gearbox Fault Diagnosis
Wenjun Sun, Hui Wang, Jiawen Xu, et al.
IEEE Open Journal of Instrumentation and Measurement (2022) Vol. 1, pp. 1-9
Open Access | Times Cited: 7
Adaptive Multi-Channel Residual Shrinkage Networks for the Diagnosis of Multi-Fault Gearbox
Wen‐Xian Chen, Kuangchi Sun, Xinxin Li, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1714-1714
Open Access | Times Cited: 3
A Novel Deep Convolutional Neural Network Combining Global Feature Extraction and Detailed Feature Extraction for Bearing Compound Fault Diagnosis
Shuzhen Han, Pingjuan Niu, Shijie Luo, et al.
Sensors (2023) Vol. 23, Iss. 19, pp. 8060-8060
Open Access | Times Cited: 3
Cross-Conditions Fault Diagnosis of Rolling Bearings Based on Dual Domain Adversarial Network
Yonghua Jiang, Zhuoqi Shi, Chao Tang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-15
Closed Access | Times Cited: 3
Integrating Physics and Data Driven Cyber-Physical System for Condition Monitoring of Critical Transmission Components in Smart Production Line
Song Lin, Liping Wang, Wu Jun, et al.
Applied Sciences (2021) Vol. 11, Iss. 19, pp. 8967-8967
Open Access | Times Cited: 8
Intelligent Fault Diagnosis Method through ACCC-Based Improved Convolutional Neural Network
Chao Zhang, Qixuan Huang, Ke Yang, et al.
Actuators (2023) Vol. 12, Iss. 4, pp. 154-154
Open Access | Times Cited: 2
SFS-PSO: An Improved Data Preprocessing Approach in Fault Diagnosis under Variable Working Conditions
Fang‐Lue Zhang, Rui Yang
2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS) (2024), pp. 727-732
Closed Access
Universal domain adaptation for machinery fault diagnosis based on multi‐scale dual attention network and entropy‐based clustering
Chun‐Yao Lee, Guang‐Lin Zhuo
IET Science Measurement & Technology (2024) Vol. 18, Iss. 9, pp. 522-533
Open Access
Rolling Bearing Fault Diagnosis Method Based on Multi-scale Convolutional Neural Network with Selective Kernel Attention Mechanism
Shuping Zhao, Xilong Liu, Changyong Liang, et al.
Research Square (Research Square) (2024)
Closed Access
A Robust Deep Learning System for Motor Bearing Fault Detection: Leveraging Multiple Learning Strategies and a Novel Double Loss Function
Khoa D. Tran, Lam Pham, Nguyễn Văn Anh, et al.
Research Square (Research Square) (2024)
Open Access
Rolling bearing fault diagnosis method based on gramian angular difference field and dynamic self-calibrated convolution module
Chunli Liu, Jiarui Bai, Linlin Xue, et al.
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0314898-e0314898
Open Access
Taking Into Account the Practice of Using Neural Networks in Nature Conservation Environments
Luis Moreno Merino
Nature Environmental Protection (2023) Vol. 4, Iss. 1
Open Access | Times Cited: 1
Review of Research on Fault Diagnosis of Rolling Bearings Based on Deep Learning
Caidie Duan, Mingchuan Zhang
Journal of Computing and Electronic Information Management (2023) Vol. 10, Iss. 3, pp. 142-146
Open Access | Times Cited: 1
Visualized Stacked Denoising Auto-Encoder Model for Extracting and Evaluating the State Features of Rolling Bearings
Qing Zhang, Junshen Zhang, Ye Wang, et al.
Machines (2022) Vol. 10, Iss. 10, pp. 849-849
Open Access | Times Cited: 2
Fault Diagnosis for Rolling Bearing of Road Heading Machine via SVDS-ICNN
Xiaofei Qu, Yongkang Zhang, Yin Li
Research Square (Research Square) (2023)
Open Access
Manipulator Joint Fault Localization for Intelligent Flexible Manufacturing Based on Reinforcement Learning and Robot Dynamics
Shijie Wang, Jianfeng Tao, Qincheng Jiang, et al.
(2023)
Closed Access
Fault diagnosis based on feature enhancement and spatial adjacent region dropout strategy
Yunji Zhao, Yuhang Zhou, Xiaozhuo Xu, et al.
Journal of the Brazilian Society of Mechanical Sciences and Engineering (2023) Vol. 45, Iss. 10
Closed Access
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