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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:

Federated Transfer Learning for Bearing Fault Diagnosis With Discrepancy-Based Weighted Federated Averaging
Junbin Chen, Jipu Li, Ruyi Huang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 80

Showing 26-50 of 80 citing articles:

Active federated transfer algorithm based on broad learning for fault diagnosis
Guokai Liu, Weiming Shen, Liang Gao, et al.
Measurement (2023) Vol. 208, pp. 112452-112452
Closed Access | Times Cited: 12
A federated distillation domain generalization framework for machinery fault diagnosis with data privacy
Chao Zhao, Weiming Shen
Engineering Applications of Artificial Intelligence (2023) Vol. 130, pp. 107765-107765
Closed Access | Times Cited: 12
RIS-Empowered Topology Control for Decentralized Federated Learning in Urban Air Mobility
Kai Xiong, Rui Wang, Supeng Leng, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 24, pp. 40757-40770
Closed Access | Times Cited: 3
Federated Learning for Condition Monitoring of Industrial Processes: A Review on Fault Diagnosis Methods, Challenges, and Prospects
Tarek Berghout, Mohamed Benbouzid, Toufik Bentrcia, et al.
Electronics (2022) Vol. 12, Iss. 1, pp. 158-158
Open Access | Times Cited: 17
Federated domain generalization with global robust model aggregation strategy for bearing fault diagnosis
X.C. Cong, Yan Song, Yibin Li, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 11, pp. 115116-115116
Closed Access | Times Cited: 10
Privacy Preserving Palmprint Recognition via Federated Metric Learning
Huikai Shao, Chengcheng Liu, LI Xiao-jiang, et al.
IEEE Transactions on Information Forensics and Security (2023) Vol. 19, pp. 878-891
Closed Access | Times Cited: 10
Data privacy protection health status assessment for rotating machinery with dual-task feature fusion framework
Xin He, Wei Zhou, Zhen Luo, et al.
Neurocomputing (2024) Vol. 582, pp. 127464-127464
Closed Access | Times Cited: 3
Privacy-preserving federated transfer learning for defect identification from highly imbalanced image data in additive manufacturing
Jiafeng Tang, Zhibin Zhao, Yanjie Guo, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 89, pp. 102779-102779
Closed Access | Times Cited: 3
Model-based federated learning for accurate MR image reconstruction from undersampled k-space data
Ruoyou Wu, Cheng Li, Juan Zou, et al.
Computers in Biology and Medicine (2024) Vol. 180, pp. 108905-108905
Open Access | Times Cited: 3
Federated learning for intelligent fault diagnosis based on similarity collaboration
Yonghong Zhang, Xingan Xue, Xiaoping Zhao, et al.
Measurement Science and Technology (2022) Vol. 34, Iss. 4, pp. 045103-045103
Closed Access | Times Cited: 14
A Data Privacy Protection Diagnosis Framework for Multiple Machines Vibration Signals Based on a Swarm Learning Algorithm
Shilong Sun, Haodong Huang, Tengyi Peng, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-9
Closed Access | Times Cited: 8
Framing Network Flow for Anomaly Detection Using Image Recognition and Federated Learning
Jevgenijus Toldinas, Algimantas Venčkauskas, Agnius Liutkevičius, et al.
Electronics (2022) Vol. 11, Iss. 19, pp. 3138-3138
Open Access | Times Cited: 13
Interpretable federated learning for machine condition monitoring: Interpretable average global model as a fault feature library
Xiao Feng, Dong Wang, Bingchang Hou, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106632-106632
Closed Access | Times Cited: 7
Open-set federated adversarial domain adaptation based cross-domain fault diagnosis
Shu Ping Xu, Jian Ma, Dengwei Song
Measurement Science and Technology (2023) Vol. 34, Iss. 11, pp. 115004-115004
Closed Access | Times Cited: 7
High-Precision Cluster Federated Learning for Smart Home: An Edge-Cloud Collaboration Approach
Chao Li, Hui Yang, Zhengjie Sun, et al.
IEEE Access (2023) Vol. 11, pp. 102157-102168
Open Access | Times Cited: 7
Improved lightweight federated learning network for fault feature extraction of reciprocating machinery
Junling Zhang, Lixiang Duan, Ke Li, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 045115-045115
Closed Access | Times Cited: 2
Trackside Acoustic Fault Diagnosis of Bearing Based on Doppler Knowledge Embedded in Domain Adaptation Network
Yupeng Zhang, Juntao Hua, Xia Fang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-13
Closed Access | Times Cited: 2
A blockchain-empowered secure federated domain generalization framework for machinery fault diagnosis
Shucheng Zhang, Pei Jiang, Xiaobin Li, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102756-102756
Closed Access | Times Cited: 2
HFTL-KD: A new heterogeneous federated transfer learning approach for degradation trajectory prediction in large-scale decentralized systems
Shixiang Lü, Zhi-Wei Gao, Yuanhong Liu
Control Engineering Practice (2024) Vol. 153, pp. 106098-106098
Closed Access | Times Cited: 2
A federated learning based approach for predicting landslide displacement considering data security
Yuting Yang, Yue Lu, Gang Mei
Future Generation Computer Systems (2023) Vol. 149, pp. 184-199
Closed Access | Times Cited: 6
Source-Free Cluster Adaptation for Privacy-Preserving Machinery Fault Diagnosis
Mengliang Zhu, Xiangyu Zeng, Jie Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 6
FedSeq: A Hybrid Federated Learning Framework Based on Sequential In-Cluster Training
Zhikun Chen, Daofeng Li, Rui Ni, et al.
IEEE Systems Journal (2023) Vol. 17, Iss. 3, pp. 4038-4049
Closed Access | Times Cited: 5
Federated Multi-Model Transfer Learning-Based Fault Diagnosis with Peer-to-Peer Network for Wind Turbine Cluster
Wanqian Yang, Gang Yu
Machines (2022) Vol. 10, Iss. 11, pp. 972-972
Open Access | Times Cited: 8
Semi-supervised small-sample gearbox fault diagnosis with privacy protection
Xin He, Yaqiong Duan, Zidong Wang, et al.
Scientia Sinica Technologica (2024)
Open Access | Times Cited: 1
Multi-Sensor Graph Adaptive Federated Generalization for Helicopter Transmission System Fault Diagnosis
Kuangchi Sun, Aijun Yin
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 1

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