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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:

Bearing fault diagnosis using transfer learning and optimized deep belief network
Huimin Zhao, Xiaoxu Yang, Baojie Chen, et al.
Measurement Science and Technology (2022) Vol. 33, Iss. 6, pp. 065009-065009
Closed Access | Times Cited: 103

Showing 1-25 of 103 citing articles:

A review of the application of deep learning in intelligent fault diagnosis of rotating machinery
Zhiqin Zhu, Yangbo Lei, Guanqiu Qi, et al.
Measurement (2022) Vol. 206, pp. 112346-112346
Closed Access | Times Cited: 283
An enhanced distributed differential evolution algorithm for portfolio optimization problems
Yingjie Song, Gaoyang Zhao, Bin Zhang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 106004-106004
Closed Access | Times Cited: 71
Fault diagnosis using variational autoencoder GAN and focal loss CNN under unbalanced data
Weihan Li, Dunke Liu, Yang Li, et al.
Structural Health Monitoring (2024)
Closed Access | Times Cited: 23
Application of deep learning to fault diagnosis of rotating machineries
Hao Su, Ling Xiang, Aijun Hu
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 042003-042003
Open Access | Times Cited: 15
Vibration and infrared thermography based multiple fault diagnosis of bearing using deep learning
Tauheed Mian, Anurag Choudhary, Shahab Fatima
Nondestructive Testing And Evaluation (2022) Vol. 38, Iss. 2, pp. 275-296
Closed Access | Times Cited: 60
Prediction of Machine Failure in Industry 4.0: A Hybrid CNN-LSTM Framework
Abdul Wahid, John G. Breslin, Muhammad Intizar Ali
Applied Sciences (2022) Vol. 12, Iss. 9, pp. 4221-4221
Open Access | Times Cited: 43
Time-frequency supervised contrastive learning via pseudo-labeling: An unsupervised domain adaptation network for rolling bearing fault diagnosis under time-varying speeds
Bin Pang, Qiuhai Liu, Zhenduo Sun, et al.
Advanced Engineering Informatics (2023) Vol. 59, pp. 102304-102304
Closed Access | Times Cited: 39
Bearing Fault Diagnosis With Envelope Analysis and Machine Learning Approaches Using CWRU Dataset
M. Alonso-González, Vicente García‐Díaz, Benjamín López Pérez, et al.
IEEE Access (2023) Vol. 11, pp. 57796-57805
Open Access | Times Cited: 34
Artificial Neural Networks for Navigation Systems: A Review of Recent Research
Dah‐Jing Jwo, Amita Biswal, Ilayat Ali Mir
Applied Sciences (2023) Vol. 13, Iss. 7, pp. 4475-4475
Open Access | Times Cited: 32
Feature Extraction Based on Hierarchical Improved Envelope Spectrum Entropy for Rolling Bearing Fault Diagnosis
Zhixiang Chen, Yang Yang, Changbo He, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 24
Remaining useful life prediction of bearings based on self-attention mechanism, multi-scale dilated causal convolution, and temporal convolution network
Hao Wei, Qinghua Zhang, Yu Gu
Measurement Science and Technology (2023) Vol. 34, Iss. 4, pp. 045107-045107
Closed Access | Times Cited: 23
Data-Driven Intelligent Condition Adaptation of Feature Extraction for Bearing Fault Detection Using Deep Responsible Active Learning
T R Mahesh, Saravanan Chandrasekaran, Veerma Ram, et al.
IEEE Access (2024) Vol. 12, pp. 45381-45397
Open Access | Times Cited: 12
A review on convolutional neural network in rolling bearing fault diagnosis
Xin Li, Zengqiang Ma, Zonghao Yuan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 072002-072002
Closed Access | Times Cited: 9
A roadmap to fault diagnosis of industrial machines via machine learning: A brief review
Govind Vashishtha, Sumika Chauhan, Mert Sehri, et al.
Measurement (2024) Vol. 242, pp. 116216-116216
Closed Access | Times Cited: 9
A New Cross-Domain Bearing Fault Diagnosis Framework Based on Transferable Features and Manifold Embedded Discriminative Distribution Adaption Under Class Imbalance
Xiao Yu, Hongshen Yin, Li Sun, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 7, pp. 7525-7545
Closed Access | Times Cited: 20
Bearing fault diagnosis based on inverted Mel-scale frequency cepstral coefficients and deformable convolution networks
Yunji Zhao, Baofu Qin, Yuhang Zhou, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 5, pp. 055404-055404
Closed Access | Times Cited: 17
A Multi-Strategy Adaptive Particle Swarm Optimization Algorithm for Solving Optimization Problem
Yingjie Song, Ying Liu, Huayue Chen, et al.
Electronics (2023) Vol. 12, Iss. 3, pp. 491-491
Open Access | Times Cited: 16
Source-free domain adaptation method for fault diagnosis of rotation machinery under partial information
Aobo Yu, Bolin Cai, Qiujie Wu, et al.
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110181-110181
Closed Access | Times Cited: 7
Single domain generalization method based on anti-causal learning for rotating machinery fault diagnosis
Guowei Zhang, Xianguang Kong, Qibin Wang, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110252-110252
Closed Access | Times Cited: 5
Data-driven machinery fault diagnosis: A comprehensive review
Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley, et al.
Neurocomputing (2025), pp. 129588-129588
Open Access
A multi-source domain adaption intelligent fault diagnosis method based on asymmetric adversarial training
Dan Yang, Tianyu Ma, Zhipeng Li
Measurement Science and Technology (2025) Vol. 36, Iss. 3, pp. 036123-036123
Closed Access
An unsupervised domain adaptation method for intelligent fault diagnosis based on target feature enhancement and feature-boundary alignment
Ming Xie, Jianxin Liu, Yifan Li, et al.
Journal of Intelligent Manufacturing (2025)
Closed Access
Cross-domain knowledge transfer in industrial process monitoring: A survey
Zheng Chai, Chunhui Zhao, Biao Huang
Journal of Process Control (2025) Vol. 149, pp. 103408-103408
Closed Access
Fault Diagnosis Method of Disconnector Based on CNN and D-S Evidence Theory
Qi Wang, Kaipu Zhang, Sheng Lin
IEEE Transactions on Industry Applications (2023) Vol. 59, Iss. 5, pp. 5691-5704
Closed Access | Times Cited: 12
Improved DBO-VMD and optimized DBN-ELM based fault diagnosis for control valve
Dengfeng Zhang, Chi Zhang, Xiaodong Han, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 075103-075103
Closed Access | Times Cited: 4
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