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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:

Blockchain-based decentralized federated transfer learning methodology for collaborative machinery fault diagnosis
Zhang We, Ziwei Wang, Xiang Li
Reliability Engineering & System Safety (2022) Vol. 229, pp. 108885-108885
Closed Access | Times Cited: 113

Showing 1-25 of 113 citing articles:

Multi-scale integrated deep self-attention network for predicting remaining useful life of aero-engine
Ke Zhao, Zhen Jia, Feng Jia, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105860-105860
Closed Access | Times Cited: 127
Intelligent Machinery Fault Diagnosis With Event-Based Camera
Xiang Li, Shupeng Yu, Yaguo Lei, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 1, pp. 380-389
Closed Access | Times Cited: 95
Federated multi-source domain adversarial adaptation framework for machinery fault diagnosis with data privacy
Ke Zhao, Junchen Hu, Haidong Shao, et al.
Reliability Engineering & System Safety (2023) Vol. 236, pp. 109246-109246
Closed Access | Times Cited: 93
Model aggregation techniques in federated learning: A comprehensive survey
Pian Qi, Diletta Chiaro, Antonella Guzzo, et al.
Future Generation Computer Systems (2023) Vol. 150, pp. 272-293
Open Access | Times Cited: 92
A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations
Zehui Zhao, Laith Alzubaidi, Jinglan Zhang, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122807-122807
Open Access | Times Cited: 90
A novel digital twin-driven approach based on physical-virtual data fusion for gearbox fault diagnosis
Jingyan Xia, Ruyi Huang, Zhuyun Chen, et al.
Reliability Engineering & System Safety (2023) Vol. 240, pp. 109542-109542
Closed Access | Times Cited: 50
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: 47
A multi-source domain information fusion network for rotating machinery fault diagnosis under variable operating conditions
Tianyu Gao, Jingli Yang, Qing Tang
Information Fusion (2024) Vol. 106, pp. 102278-102278
Closed Access | Times Cited: 46
Graph features dynamic fusion learning driven by multi-head attention for large rotating machinery fault diagnosis with multi-sensor data
Xin Zhang, Xi Zhang, Jie Liu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 125, pp. 106601-106601
Closed Access | Times Cited: 42
Deep transfer learning strategy in intelligent fault diagnosis of rotating machinery
Shengnan Tang, Jingtao Ma, Zhengqi Yan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 134, pp. 108678-108678
Closed Access | Times Cited: 27
Semi-supervised learning for industrial fault detection and diagnosis: A systemic review
José Miguel Ramírez‐Sanz, Jose-Alberto Maestro-Prieto, Álvar Arnaiz‐González, et al.
ISA Transactions (2023) Vol. 143, pp. 255-270
Open Access | Times Cited: 36
Deep Learning-Based Yoga Posture Recognition Using the Y_PN-MSSD Model for Yoga Practitioners
Aman Upadhyay, Niha Kamal Basha, A. Balasundaram
Healthcare (2023) Vol. 11, Iss. 4, pp. 609-609
Open Access | Times Cited: 34
A comprehensive survey of sparse regularization: Fundamental, state-of-the-art methodologies and applications on fault diagnosis
Qing Li
Expert Systems with Applications (2023) Vol. 229, pp. 120517-120517
Open Access | Times Cited: 30
Classification of Monkeypox Images Using LIME-Enabled Investigation of Deep Convolutional Neural Network
M. Lakshmi, Raja Das
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1639-1639
Open Access | Times Cited: 22
Multiple Source-Free Domain Adaptation Network Based on Knowledge Distillation for Machinery Fault Diagnosis
Ke Yue, Jipu Li, Zhuyun Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 21
Intelligent diagnosis method for machine faults based on federated transfer learning
Li Zhi, Zedong Li, Fengshou Gu
Applied Soft Computing (2024) Vol. 163, pp. 111922-111922
Closed Access | Times Cited: 13
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
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
Fault diagnosis and self-healing for smart manufacturing: a review
Joma Aldrini, Inès Chihi, Lilia Sidhom
Journal of Intelligent Manufacturing (2023) Vol. 35, Iss. 6, pp. 2441-2473
Open Access | Times Cited: 20
Data-augmented patch variational autoencoding generative adversarial networks for rolling bearing fault diagnosis
Xin Wang, Hongkai Jiang, Yunpeng Liu, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 5, pp. 055102-055102
Closed Access | Times Cited: 19
Intelligent fault diagnosis of rotating machinery under varying working conditions with global–local neighborhood and sparse graphs embedding deep regularized autoencoder
Zejin Sun, Youren Wang, Jiahao Gao
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106590-106590
Closed Access | Times Cited: 18
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
Machinery cross domain degradation prognostics considering compound domain shifts
Peng Ding, Xiaoli Zhao, Haidong Shao, et al.
Reliability Engineering & System Safety (2023) Vol. 239, pp. 109490-109490
Closed Access | Times Cited: 16
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