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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 federated learning approach to mixed fault diagnosis in rotating machinery
Manan Mehta, Siyuan Chen, Haichuan Tang, et al.
Journal of Manufacturing Systems (2023) Vol. 68, pp. 687-694
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

Heterogeneous Federated Domain Generalization Network With Common Representation Learning for Cross-Load Machinery Fault Diagnosis
Quan Qian, Jun Luo, Yi Qin
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 9, pp. 5704-5716
Closed Access | Times Cited: 10
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
Artificial intelligence in metal forming
Jian Cao, Markus Bambach�, Marion Merklein, et al.
CIRP Annals (2024) Vol. 73, Iss. 2, pp. 561-587
Closed Access | Times Cited: 8
Federated learning with uncertainty-based client clustering for fleet-wide fault diagnosis
Hao Lü, Adam Thelen, Olga Fink, et al.
Mechanical Systems and Signal Processing (2024) Vol. 210, pp. 111068-111068
Open Access | Times Cited: 7
A Federated Learning Framework for Cloud–Edge Collaborative Fault Diagnosis of Wind Turbines
Guoqian Jiang, Kai Zhao, Xiufeng Liu, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 23170-23185
Closed Access | Times Cited: 6
Remaining useful life prediction of machinery using federated public feature representation in edge-cloud collaboration architecture
Liang Chen, Hongli Gao, Liang Guo, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 110059-110059
Closed Access
Data-driven machinery fault diagnosis: A comprehensive review
Dhiraj Neupane, Mohamed Reda Bouadjenek, Richard Dazeley, et al.
Neurocomputing (2025), pp. 129588-129588
Open Access
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
Fed-MWFP: Lightweight Federated Learning with Interpretable Multiple Wavelet Fusion Network for Fault Diagnosis under Variable Operating Conditions
Yan Zhang, Haishen Kong, Yan Han, et al.
Knowledge-Based Systems (2025) Vol. 315, pp. 113277-113277
Closed Access
A fault diagnosis method of rotating machinery based on improved multiscale attention entropy and random forests
Fei Chen, Liyao Zhang, Wen‐Shen Liu, et al.
Nonlinear Dynamics (2023) Vol. 112, Iss. 2, pp. 1191-1220
Open Access | Times Cited: 13
Federated learning at the edge in Industrial Internet of Things: A review
Sunil Kumar, Maryam Vahabi, Hossein Fotouhi
Sustainable Computing Informatics and Systems (2025), pp. 101087-101087
Open Access
A pruning-aware dynamic slimmable network using meta-gradients for high-speed train bogie bearing fault diagnosis
Jingsong Xie, S. Cao, Tongyang Pan, et al.
ISA Transactions (2025)
Closed Access
Explainable few-shot learning for online anomaly detection in ultrasonic metal welding with varying configurations
Yuquan Meng, Kuan-Chieh Lu, Zhiqiao Dong, et al.
Journal of Manufacturing Processes (2023) Vol. 107, pp. 345-355
Closed Access | Times Cited: 9
Maximizing model generalization for machine condition monitoring with Self-Supervised Learning and Federated Learning
Matthew Russell, Peng Wang
Journal of Manufacturing Systems (2023) Vol. 71, pp. 274-285
Open Access | Times Cited: 6
FedAlign: Federated Model Alignment via Data-Free Knowledge Distillation for Machine Fault Diagnosis
Wenjun Sun, Ruqiang Yan, Ruibing Jin, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-12
Closed Access | Times Cited: 5
Federated learning enables privacy-preserving and data-efficient dimension prediction and part qualification across additive manufacturing factories
Manan Mehta, Miles V. Bimrose, Davis J. McGregor, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 752-761
Open Access | Times Cited: 1
FedITA: A cloud–edge collaboration framework for domain generalization-based federated fault diagnosis of machine-level industrial motors
Yiming He, Weiming Shen
Advanced Engineering Informatics (2024) Vol. 62, pp. 102853-102853
Closed Access | Times Cited: 1
FedASA: A Personalized Federated Learning with Adaptive Model Aggregation for Heterogeneous Mobile Edge Computing
Dongshang Deng, Xuangou Wu, Tao Zhang, et al.
IEEE Transactions on Mobile Computing (2024) Vol. 23, Iss. 12, pp. 14787-14802
Closed Access | Times Cited: 1
A Novel Multiscale Adaptive Graph Adversarial Network for Mechanical Fault Diagnosis
Jiayang Liu, Chaobing Wang, Xiaoru Wang, et al.
Knowledge-Based Systems (2024), pp. 112787-112787
Closed Access | Times Cited: 1
Semi-Supervised Fault Diagnosis Method Based on Dual-Stream Attention Cyclic Auto-Encoder for Rotating Components With Low Label Rate
Jianguo Miao, Zihao Deng, Congying Deng, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 4, pp. 4948-4959
Closed Access
A Federated Adversarial Fault Diagnosis Method Driven by Fault Information Discrepancy
Jiechen Sun, Funa Zhou, Jie Chen, et al.
Entropy (2024) Vol. 26, Iss. 9, pp. 718-718
Open Access
Accelerable adaptive cepstrum and L2-Dual Net for acoustic emission-based quality monitoring in laser shock peening
Rui Qin, Zhifen Zhang, Jing Huang, et al.
Journal of Manufacturing Systems (2024) Vol. 77, pp. 301-319
Closed Access
Federated domain generalization for condition monitoring in ultrasonic metal welding
Ahmadreza Eslaminia, Yuquan Meng, Klara Nahrstedt, et al.
Journal of Manufacturing Systems (2024) Vol. 77, pp. 1-12
Closed Access
Heterogeneous Federated Learning: Client-side Collaborative Update Inter-Domain Generalization Method for Intelligent Fault Diagnosis
Hongbo Ma, Jiacheng Wei, Guowei Zhang, et al.
IEEE Internet of Things Journal (2024) Vol. 12, Iss. 5, pp. 5704-5718
Closed Access
FedPM-SGN: A federated graph network for aviation equipment fault diagnosis by multi-sensor fusion in decentralized and heterogeneous setting
Gang Mao, Hui Li, Longxian Xue, et al.
Information Fusion (2024) Vol. 117, pp. 102876-102876
Closed Access
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