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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: 102

Showing 26-50 of 102 citing articles:

Rolling Element Bearing Fault Diagnosis Based on Multi-objective Optimized Deep Auto-encoder
Xiaoxin Chang, Shaopu Yang, Shaohua Li, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096007-096007
Closed Access | Times Cited: 4
Cross-Domain Fault Diagnosis Based on Improved Multi-Scale Fuzzy Measure Entropy and Enhanced Joint Distribution Adaptation
Aisong Qin, Hanling Mao, Kuangchi Sun, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 10, pp. 9649-9664
Closed Access | Times Cited: 19
Attention mechanism-guided residual convolution variational autoencoder for bearing fault diagnosis under noisy environments
Xiaoan Yan, Yanyu Lü, Ying Liu, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125046-125046
Closed Access | Times Cited: 11
Fault-Diagnosis Method for Rotating Machinery Based on SVMD Entropy and Machine Learning
Lijun Zhang, Yuejian Zhang, Guangfeng Li
Algorithms (2023) Vol. 16, Iss. 6, pp. 304-304
Open Access | Times Cited: 10
Empirical-based DA and ANN to diagnose misalignment in rotor-bearing system
Ganesh L. Suryawanshi, Sachin K. Patil, R. G. Desavale
Nondestructive Testing And Evaluation (2023) Vol. 39, Iss. 4, pp. 776-801
Closed Access | Times Cited: 10
Research on roller bearing fault diagnosis method based on flexible dynamic adjustable strategy under data imbalance
Haiyang Pan, Bingxin Li, Qiuyan Yan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 066113-066113
Closed Access | Times Cited: 3
An Ensemble Domain Adaptation Network with High-quality Pseudo Labels for Rolling Bearing Fault Diagnosis
Ming Xie, Jianxin Liu, Yifan Li, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access | Times Cited: 3
Bearing fault diagnosis method based on angular domain resampling, relative position matrix and transfer learning
Xun Zhang, Guanghua Xu, Xiaobi Chen, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076118-076118
Closed Access | Times Cited: 3
A Review on Data-Driven Condition Monitoring of Industrial Equipment
Ruosen Qi, Jie Zhang, Katy Spencer
Algorithms (2022) Vol. 16, Iss. 1, pp. 9-9
Open Access | Times Cited: 17
CALYOLOv4: lightweight YOLOv4 target detection based on coordinated attention
Huilin Wang, Huaming Qian, Shuai Feng, et al.
The Journal of Supercomputing (2023) Vol. 79, Iss. 16, pp. 18947-18969
Closed Access | Times Cited: 9
A Study of Noise Effect in Electrical Machines Bearing Fault Detection and Diagnosis Considering Different Representative Feature Models
Dimitrios A. Moysidis, Georgios Karatzinis, Yiannis S. Boutalis, et al.
Machines (2023) Vol. 11, Iss. 11, pp. 1029-1029
Open Access | Times Cited: 8
Knowledge-driven domain adaptation strategy for rotating machinery fault diagnosis under varying working condition
Junyu Chang, Jiaqi Yao, Xu Chen, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056110-056110
Open Access | Times Cited: 2
Deep semi-supervised transfer learning method on few source data with sensitivity-aware decision boundary adaptation for intelligent fault diagnosis
Zhiheng Su, Jiyang Zhang, Hongbing Xu, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123714-123714
Closed Access | Times Cited: 2
Nonlinear mechanical response analysis and convolutional neural network enabled diagnosis of single-span rotor bearing system
Bing Qian, Yinhui Cai, Yinkang Ran, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Domain generalized open-set intelligent fault diagnosis based on feature disentanglement meta-learning
Xiangdong Zhou, Deng Xiao, Zhengwu Liu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 115001-115001
Closed Access | Times Cited: 2
Deep subdomain adversarial network with self-supervised learning for aero-engine high speed bearing fault diagnosis with unknown working conditions
Huadong Shi, Siyan Cao, Hongfu Zuo, et al.
Measurement (2024) Vol. 241, pp. 115668-115668
Closed Access | Times Cited: 2
Study on Aerodynamic Drag Reduction at Tail of 400 km/h EMU with Air Suction-Blowing Combination
Hongjiang Cui, Guanxin Chen, Ying Guan, et al.
Machines (2023) Vol. 11, Iss. 2, pp. 222-222
Open Access | Times Cited: 7
GAN-Driven Data Poisoning Attacks and Their Mitigation in Federated Learning Systems
Konstantinos Psychogyios, Terpsichori-Helen Velivassaki, Stavroula Bourou, et al.
Electronics (2023) Vol. 12, Iss. 8, pp. 1805-1805
Open Access | Times Cited: 7
A domain adaptation method based on interpolation and centroid representation for open-set fault diagnosis of bearing
Bo Lin, Kong Sun, Daiping Wei
Measurement (2023) Vol. 216, pp. 112945-112945
Closed Access | Times Cited: 7
A lightweight model for train bearing fault diagnosis based on multiscale attentional feature fusion
Changfu He, Deqiang He, Zhenpeng Lao, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 2, pp. 025113-025113
Closed Access | Times Cited: 10
Research on visualisation of plain concrete crack depth detection based on tracer and hand-held radar
Yulei Wang, Lei Tang, Shengxing Zhang, et al.
Nondestructive Testing And Evaluation (2023) Vol. 39, Iss. 2, pp. 408-425
Closed Access | Times Cited: 5
An adaptive selective ensemble algorithm for fault classification
Xiaotao Zhang, Jiangcheng Li, Fulong Liu, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 11, pp. 115102-115102
Closed Access | Times Cited: 5
A reinforcement double deep Q-network with prioritised experience replay for rolling bearing fault diagnosis
Zhenning Li, Hongkai Jiang, Yunpeng Liu
Measurement Science and Technology (2023) Vol. 34, Iss. 12, pp. 125133-125133
Closed Access | Times Cited: 5
Fast Fault Diagnosis in Industrial Embedded Systems Based on Compressed Sensing and Deep Kernel Extreme Learning Machines
Nanliang Shan, Xinghua Xu, Xianqiang Bao, et al.
Sensors (2022) Vol. 22, Iss. 11, pp. 3997-3997
Open Access | Times Cited: 9
A New Framework Based on Supervised Joint Distribution Adaptation for Bearing Fault Diagnosis across Diverse Working Conditions
Chengyao Liu, Fei Dong
Shock and Vibration (2024) Vol. 2024, pp. 1-24
Open Access | Times Cited: 1

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