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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:

FedCAE: A New Federated Learning Framework for Edge-Cloud Collaboration Based Machine Fault Diagnosis
Yaoxiang Yu, Liang Guo, Hongli Gao, et al.
IEEE Transactions on Industrial Electronics (2023) Vol. 71, Iss. 4, pp. 4108-4119
Closed Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Universal federated domain adaptation for gearbox fault diagnosis: A robust framework for credible pseudo-label generation
Xinyu Ren, Suixin Wang, Wanli Zhao, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103233-103233
Closed Access | Times Cited: 1
Federated transfer learning for machinery fault diagnosis: A comprehensive review of technique and application
Quan Qian, Bin Zhang, Chuan Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 223, pp. 111837-111837
Closed Access | Times Cited: 10
Fusing consensus knowledge: A federated learning method for fault diagnosis via privacy-preserving reference under domain shift
Baoxue Li, Pengyu Song, Chunhui Zhao
Information Fusion (2024) Vol. 106, pp. 102290-102290
Closed Access | Times Cited: 8
Generative artificial intelligence and data augmentation for prognostic and health management: Taxonomy, progress, and prospects
Shen Liu, Jinglong Chen, Yong Feng, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124511-124511
Closed Access | Times Cited: 8
A graph neural network-based data cleaning method to prevent intelligent fault diagnosis from data contamination
Shuhui Wang, Yaguo Lei, Bin Yang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107071-107071
Closed Access | Times Cited: 18
FlexibleFL: Mitigating poisoning attacks with contributions in cloud-edge federated learning systems
Yaru Zhao, Yihao Cao, Jianbiao Zhang, et al.
Information Sciences (2024) Vol. 664, pp. 120350-120350
Closed Access | Times Cited: 6
Cloud-edge collaborative transfer fault diagnosis of rotating machinery via federated fine-tuning and target self-adaptation
Rui Wang, Weiguo Huang, Yixiang Lu, et al.
Expert Systems with Applications (2024) Vol. 250, pp. 123859-123859
Closed Access | Times Cited: 5
Transfer Learning for Prognostics and Health Management: Advances, Challenges, and Opportunities
Ruqiang Yan, Weihua Li, Siliang Lu, et al.
Journal of Dynamics Monitoring and Diagnostics (2024)
Open Access | Times Cited: 5
Federated learning-empowered smart manufacturing and product lifecycle management: A review
Jiewu Leng, Richard Li, Junxing Xie, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103179-103179
Closed Access
Intelligent fault diagnosis via ring-based decentralized federated transfer learning
Lanjun Wan, Jiaen Ning, Yuanyuan Li, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111288-111288
Closed Access | Times Cited: 15
Dynamics modelling and vibration characteristics of urban rail vehicle axle-box bearings with the cage crack
Yaoxiang Yu, Liang Guo, Zaigang Chen, et al.
Mechanical Systems and Signal Processing (2023) Vol. 205, pp. 110870-110870
Closed Access | Times Cited: 13
Study on dynamic characteristics of urban rail transit vehicle considering faulty axle-box bearings under variable speeds
Liang Guo, Yaoxiang Yu, Zaigang Chen, et al.
Mechanical Systems and Signal Processing (2023) Vol. 206, pp. 110849-110849
Closed Access | Times Cited: 13
Toward secure industrial internet of behaviours: a federated learning-based lightweight human behaviour recognition method with selective state space models
Bingtao Hu, Ruirui Zhong, Yixiong Feng, et al.
International Journal of Production Research (2025), pp. 1-17
Closed Access
Adaptive generalized empirical wavelet transform and its application to fault diagnosis of rolling bearing
Zhen Gao, J. P. Zheng, Haiyang Pan, et al.
Measurement (2025), pp. 116958-116958
Closed Access
An Adaptive Multi-Signal Framework for Real-Time Fault Diagnosis of Rolling Bearings
Jie Xu, Tao Hong, Xiaowen Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-16
Closed Access
Phenomenological modeling and experimental validation of time-varying transfer paths for condition monitoring of planetary gearboxes
Zongyao Liu, Haibin Ma, Shixiang Mao, et al.
Mechanical Systems and Signal Processing (2025) Vol. 230, pp. 112594-112594
Closed Access
IESMGCFFOgram: A new method for multicomponent vibration signal demodulation and rolling bearing fault diagnosis
Tao Chen, Liang Guo, Tingting Feng, et al.
Mechanical Systems and Signal Processing (2023) Vol. 204, pp. 110800-110800
Closed Access | Times Cited: 11
A core space gradient projection-based continual learning framework for remaining useful life prediction of machinery under variable operating conditions
Xiangyu Ren, Yong Qin, Bin Li, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110428-110428
Closed Access | Times Cited: 3
Federated Transfer Learning-Based Distributed Fault Diagnosis Method for Rolling Bearings
Guang Yang, Juan Su, Songhuai Du, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 12, pp. 126111-126111
Closed Access | Times Cited: 3
Hybrid machine condition monitoring based on interpretable dual tree methods using Wasserstein metrics
Yuekai Liu, Tianyang Wang, Fulei Chu
Expert Systems with Applications (2023) Vol. 235, pp. 121104-121104
Closed Access | Times Cited: 10
A federated cross-machine diagnostic framework for machine-level motors with extreme label shortage
Yiming He, Weiming Shen
Advanced Engineering Informatics (2024) Vol. 61, pp. 102511-102511
Closed Access | Times Cited: 3
Exploring Federated Learning Tendencies Using a Semantic Keyword Clustering Approach
Francisco Enguix, Carlos Carrascosa, J. A. Rincon
Information (2024) Vol. 15, Iss. 7, pp. 379-379
Open Access | Times Cited: 3
Adaptive detection of tool-workpiece contact for nanoscale tool setting based on multi-scale decomposition of force signal
Zhichao You, Yixuan Meng, Duo Li, et al.
Mechanical Systems and Signal Processing (2023) Vol. 208, pp. 111000-111000
Closed Access | Times Cited: 8
Normalized Variational Auto-Encoder With the Adaptive Activation Function for Tool Setting in Ultraprecision Turning
Zhichao You, Yixuan Meng, Zhe Zhang, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 4, pp. 5592-5600
Closed Access | Times Cited: 7
GMM-BinSeg: A Data Segmentation Method for CFRP/Aluminum Stacks Drilling-Countersinking Monitoring Signal
Changgen Li, Yuncong Lei, Liang Guo, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access | Times Cited: 2
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