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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:

Adaptive Privacy-Preserving Federated Learning for Fault Diagnosis in Internet of Ships
Zehui Zhang, Cong Guan, Hui Chen, et al.
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 9, pp. 6844-6854
Closed Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

Class-Imbalance Privacy-Preserving Federated Learning for Decentralized Fault Diagnosis With Biometric Authentication
Shixiang Lü, Zhiwei Gao, Qifa Xu, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 18, Iss. 12, pp. 9101-9111
Open Access | Times Cited: 92
Federated transfer learning in fault diagnosis under data privacy with target self-adaptation
Xu Li, Chi Zhang, Xiang Li, et al.
Journal of Manufacturing Systems (2023) Vol. 68, pp. 523-535
Closed Access | Times Cited: 48
Dynamic Vision-Based Machinery Fault Diagnosis with Cross-Modality Feature Alignment
Xiang Li, Shupeng Yu, Yaguo Lei, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 10, pp. 2068-2081
Closed Access | Times Cited: 30
Self-paced decentralized federated transfer framework for rotating machinery fault diagnosis with multiple domains
Ke Zhao, Zhenbao Liu, Jia Li, et al.
Mechanical Systems and Signal Processing (2024) Vol. 211, pp. 111258-111258
Closed Access | Times Cited: 17
A federated transfer learning method with low-quality knowledge filtering and dynamic model aggregation for rolling bearing fault diagnosis
Ran Wang, Fucheng Yan, Liang Yu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 198, pp. 110413-110413
Closed Access | Times Cited: 31
A novel prediction model for ship fuel consumption considering shipping data privacy: An XGBoost-IGWO-LSTM-based personalized federated learning approach
Peixiu Han, Zhongbo Liu, Zhuo Sun, et al.
Ocean Engineering (2024) Vol. 302, pp. 117668-117668
Closed Access | Times Cited: 13
Privacy preservation in Artificial Intelligence and Extended Reality (AI-XR) metaverses: A survey
Mahdi Alkaeed, Adnan Qayyum, Junaid Qadir
Journal of Network and Computer Applications (2024) Vol. 231, pp. 103989-103989
Open Access | Times Cited: 10
Data-driven flooding fault diagnosis method for proton-exchange membrane fuel cells using deep learning technologies
Bin Zuo, Zehui Zhang, Junsheng Cheng, et al.
Energy Conversion and Management (2021) Vol. 251, pp. 115004-115004
Closed Access | Times Cited: 50
Hierarchical Federated Learning for Power Transformer Fault Diagnosis
Jun Lin, Jin Ma, Jianguo Zhu
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 36
Federated learning for green shipping optimization and management
Haoqing Wang, Ran Yan, Man Ho Au, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 101994-101994
Closed Access | Times Cited: 19
Industrial Edge Intelligence: Federated-Meta Learning Framework for Few-Shot Fault Diagnosis
Jiao Chen, Jianhua Tang, Weihua Li
IEEE Transactions on Network Science and Engineering (2023), pp. 1-13
Closed Access | Times Cited: 17
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
An efficient federated transfer learning framework for collaborative monitoring of wind turbines in IoE-enabled wind farms
Lijin Wang, Weipeng Fan, Guoqian Jiang, et al.
Energy (2023) Vol. 284, pp. 128518-128518
Closed Access | Times Cited: 17
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
Federated Learning-Aided Prognostics in the Shipping 4.0: Principles, Workflow, and Use Cases
Angelos Angelopoulos, Anastasios Giannopoulos, Νικόλαος Νομικός, et al.
IEEE Access (2024) Vol. 12, pp. 6437-6454
Open Access | Times Cited: 6
DecFFD: A Personalized Federated Learning Framework for Cross-Location Fault Diagnosis
Dongshang Deng, Wei Zhao, Xuangou Wu, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 5, pp. 7082-7091
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
A three-layer energy management system for hydrogen-powered ships combined instantaneous load forecasting
Jun Jiang, Liang Zou, Li Zhang, et al.
Electric Power Systems Research (2025) Vol. 243, pp. 111494-111494
Closed Access
VPFL: A verifiable privacy-preserving federated learning scheme for edge computing systems
Jiale Zhang, Yue Liu, Di Wu, et al.
Digital Communications and Networks (2022) Vol. 9, Iss. 4, pp. 981-989
Open Access | Times Cited: 27
A Real-Time Bearing Fault Diagnosis Model Based on Siamese Convolutional Autoencoder in Industrial Internet of Things
Hexuan Hu, Chengcheng Cao, Qiang Hu, et al.
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 3, pp. 3820-3831
Closed Access | Times Cited: 14
Federated learning: A cutting-edge survey of the latest advancements and applications
Azim Akhtarshenas, Mohammad Ali Vahedifar, Navid Ayoobi, et al.
Computer Communications (2024) Vol. 228, pp. 107964-107964
Open Access | Times Cited: 4
Deep Learning in Industrial Machinery: A Critical Review of Bearing Fault Classification Methods
Attiq Ur Rehman, Weidong Jiao, Yonghua Jiang, et al.
Applied Soft Computing (2025), pp. 112785-112785
Closed Access
Privacy preserving federated learning for proton exchange membrane fuel cell
Zehui Zhang, Ningxin He, Weiwei Huo, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 212, pp. 115407-115407
Closed Access
From Bottom of Sea to Space: Quo Vadis IoT? So What About Security?
Behrouz Zolfaghari, Jacob Krzciok, Khodakhast Bibak
Future Internet (2025) Vol. 17, Iss. 2, pp. 91-91
Open Access
Towards Predictive Maintenance in the Maritime Industry: A Component-Based Overview
Alexandros Kalafatelis, Νικόλαος Νομικός, Anastasios Giannopoulos, et al.
Journal of Marine Science and Engineering (2025) Vol. 13, Iss. 3, pp. 425-425
Open Access
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