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:
Privacy‐preserving gradient boosting tree: Vertical federated learning for collaborative bearing fault diagnosis
Liqiao Xia, Pai Zheng, Jinjie Li, et al.
IET Collaborative Intelligent Manufacturing (2022) Vol. 4, Iss. 3, pp. 208-219
Open Access | Times Cited: 14
Liqiao Xia, Pai Zheng, Jinjie Li, et al.
IET Collaborative Intelligent Manufacturing (2022) Vol. 4, Iss. 3, pp. 208-219
Open Access | Times Cited: 14
Showing 14 citing articles:
Maintenance planning recommendation of complex industrial equipment based on knowledge graph and graph neural network
Liqiao Xia, Yongshi Liang, Jiewu Leng, et al.
Reliability Engineering & System Safety (2022) Vol. 232, pp. 109068-109068
Closed Access | Times Cited: 74
Liqiao Xia, Yongshi Liang, Jiewu Leng, et al.
Reliability Engineering & System Safety (2022) Vol. 232, pp. 109068-109068
Closed Access | Times Cited: 74
Multi-source weighted source-free domain transfer method for rotating machinery fault diagnosis
Qinhe Gao, Tong Huang, Ke Zhao, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121585-121585
Closed Access | Times Cited: 31
Qinhe Gao, Tong Huang, Ke Zhao, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121585-121585
Closed Access | Times Cited: 31
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
Quan Qian, Bin Zhang, Chuan Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 223, pp. 111837-111837
Closed Access | Times Cited: 10
Blockchain Assisted Data Edge Verification With Consensus Algorithm for Machine Learning Assisted IoT
Thavavel Vaiyapuri, K. Shankar, Surendran Rajendran, et al.
IEEE Access (2023) Vol. 11, pp. 55370-55379
Open Access | Times Cited: 17
Thavavel Vaiyapuri, K. Shankar, Surendran Rajendran, et al.
IEEE Access (2023) Vol. 11, pp. 55370-55379
Open Access | Times Cited: 17
FL‐ADS: Federated learning anomaly detection system for distributed energy resource networks
Shaurya Purohit, Manimaran Govindarasu, Benjamin Blakely
IET Cyber-Physical Systems Theory & Applications (2025) Vol. 10, Iss. 1
Open Access
Shaurya Purohit, Manimaran Govindarasu, Benjamin Blakely
IET Cyber-Physical Systems Theory & Applications (2025) Vol. 10, Iss. 1
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
Jiewu Leng, Richard Li, Junxing Xie, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103179-103179
Closed Access
Deep Learning Techniques for Early Fault Detection in Bearings: An Intelligent Approach
Omar Mohammed Amin Ali, Rebin Abdulkareem Hamaamin, Shahab Wahhab Kareem
Kurdistan Journal of Applied Research (2025) Vol. 10, Iss. 1, pp. 18-34
Open Access
Omar Mohammed Amin Ali, Rebin Abdulkareem Hamaamin, Shahab Wahhab Kareem
Kurdistan Journal of Applied Research (2025) Vol. 10, Iss. 1, pp. 18-34
Open Access
Residual-Hypergraph Convolution Network: A Model-Based and Data-Driven Integrated Approach for Fault Diagnosis in Complex Equipment
Liqiao Xia, Yongshi Liang, Pai Zheng, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 72, pp. 1-11
Closed Access | Times Cited: 21
Liqiao Xia, Yongshi Liang, Pai Zheng, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 72, pp. 1-11
Closed Access | Times Cited: 21
Early fault detection for rolling bearings: A meta‐learning approach
Wenbin Song, Di Wu, Weiming Shen, et al.
IET Collaborative Intelligent Manufacturing (2024) Vol. 6, Iss. 2
Open Access | Times Cited: 2
Wenbin Song, Di Wu, Weiming Shen, et al.
IET Collaborative Intelligent Manufacturing (2024) Vol. 6, Iss. 2
Open Access | Times Cited: 2
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
Matthew Russell, Peng Wang
Journal of Manufacturing Systems (2023) Vol. 71, pp. 274-285
Open Access | Times Cited: 6
Enhanced Bearing Fault Diagnosis Through Trees Ensemble Method and Feature Importance Analysis
Amir Alhams, Ahmed Abdelhadi, Yousif Badri, et al.
Journal of Vibration Engineering & Technologies (2024)
Open Access
Amir Alhams, Ahmed Abdelhadi, Yousif Badri, et al.
Journal of Vibration Engineering & Technologies (2024)
Open Access
Secure Co-Creation of Industrial Knowledge Graph: Graph Complement Method with Federated Learning and ChatGPT
Liqiao Xia, Pai Zheng, Yongshi Liang, et al.
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (2023), pp. 1-6
Closed Access | Times Cited: 1
Liqiao Xia, Pai Zheng, Yongshi Liang, et al.
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (2023), pp. 1-6
Closed Access | Times Cited: 1
From fault tree to fault graph: Bayesian network embedding-based fault isolation for complex equipment
Liqiao Xia, Pai Zheng, K. L. Keung, et al.
Manufacturing Letters (2023) Vol. 35, pp. 983-990
Closed Access
Liqiao Xia, Pai Zheng, K. L. Keung, et al.
Manufacturing Letters (2023) Vol. 35, pp. 983-990
Closed Access
Federated Learning in Manufacturing: A Systematic Review and Pathway to Industry 5.0
Md Asif Bin Syed, Qausar Rhaman, Sanatan Sushil
(2023)
Closed Access
Md Asif Bin Syed, Qausar Rhaman, Sanatan Sushil
(2023)
Closed Access
