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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:

Bayesian transfer learning with active querying for intelligent cross-machine fault prognosis under limited data
Rong Zhu, Weiwen Peng, Dong Wang, et al.
Mechanical Systems and Signal Processing (2022) Vol. 183, pp. 109628-109628
Closed Access | Times Cited: 81

Showing 26-50 of 81 citing articles:

Digital twin-assisted interpretable transfer learning: A novel wavelet-based framework for intelligent fault diagnostics from simulated domain to real industrial domain
Sheng Li, Qiubo Jiang, Yadong Xu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102681-102681
Closed Access | Times Cited: 5
Prediction of Equipment Remaining Useful Life Based on Graph Learning and Spatiotemporal Knowledge Graph
Changhao Men, Yu Han, Cheng‐Geng Huang
Quality and Reliability Engineering International (2025)
Closed Access
Status diagnosis and feature tracing of the natural gas pipeline weld based on improved random forest model
Lin Wang, Zhihao Mao, Heng Xuan, et al.
International Journal of Pressure Vessels and Piping (2022) Vol. 200, pp. 104821-104821
Closed Access | Times Cited: 23
Cross-conditions capacity estimation of lithium-ion battery with constrained adversarial domain adaptation
Jiabei He, Lifeng Wu
Energy (2023) Vol. 277, pp. 127559-127559
Closed Access | Times Cited: 15
Triplet adversarial Learning-driven graph architecture search network augmented with Probsparse-attention mechanism for fault diagnosis under Few-shot & Domain-shift
Yuanhong Chang, Jinglong Chen, Weiguang Zheng, et al.
Mechanical Systems and Signal Processing (2023) Vol. 199, pp. 110462-110462
Closed Access | Times Cited: 13
A Review of Remaining Useful Life Prediction Approaches for Mechanical Equipment
Yangyang Zhang, Liqing Fang, Ziyuan Qi, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 24, pp. 29991-30006
Closed Access | Times Cited: 13
A dual‐channel transferable RUL prediction method integrated with Bayesian deep learning and domain adaptation for rolling bearings
Junyu Guo, Zhiyuan Wang, Yulai Yang, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 5, pp. 2348-2366
Closed Access | Times Cited: 4
Research on Fault Prediction Method of Elevator Door System Based on Transfer Learning
Jun Pan, Changxu Shao, Yuefang Dai, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2135-2135
Open Access | Times Cited: 4
Personalized Federated Transfer Learning for Cycle-Life Prediction of Lithium-Ion Batteries in Heterogeneous Clients With Data Privacy Protection
Cheng‐Geng Huang, He Li, Weiwen Peng, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 22, pp. 36895-36906
Closed Access | Times Cited: 4
An Improved Cross-Machine Transfer Strategy Based on Multi-Source Domain Knowledge for Abnormal Sample Recognition
Zhenhao Yan, Bingqiang Zhou, Zenggui Gao, et al.
Reliability Engineering & System Safety (2025), pp. 110848-110848
Closed Access
A survey on few-shot learning for remaining useful life prediction
Renpeng Mo, Han Zhou, Hongpeng Yin, et al.
Reliability Engineering & System Safety (2025), pp. 110850-110850
Closed Access
Protecting the interests of owners of intelligent fault diagnosis models: A style relationship-preserving privacy protection method
Xilin Yang, Xianfeng Yuan, Xinxin Yao, et al.
Expert Systems with Applications (2025), pp. 126730-126730
Closed Access
Contribution to estimating the level of bearing degradation using a Multi-Branch Hidden Markov Model approach
I Gede Neil Prajamukti Wardhana, Amal Gouiaa-Mtibaa, Pascal Vrignat, et al.
Computers in Industry (2025) Vol. 167, pp. 104254-104254
Closed Access
Unlocking the power of knowledge for few-shot fault diagnosis: A review from a knowledge perspective
Pei Ling Lai, Fan Zhang, Tianrui Li, et al.
Information Sciences (2025), pp. 121996-121996
Closed Access
Reliable sparse identification of nonlinear continuous structural dynamics via subspace-based feature transformation and Bayesian priors
Yusheng Wang, Hui Qian, Yinhang Ma, et al.
Nonlinear Dynamics (2025)
Closed Access
Decision-level machinery fault prognosis using N-BEATS-based degradation feature prediction and reconstruction
Xiaobing Ma, Bingxin Yan, Han Wang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 198, pp. 110435-110435
Closed Access | Times Cited: 11
Bearing fault diagnosis using Gradual Conditional Domain Adversarial Network
Chu‐ge Wu, Duo Zhao, Te Han, et al.
Applied Soft Computing (2024) Vol. 158, pp. 111580-111580
Closed Access | Times Cited: 3
A multi-model data-fusion based deep transfer learning for improved remaining useful life estimation for IIOT based systems
Sourajit Behera, Rajiv Misra
Engineering Applications of Artificial Intelligence (2022) Vol. 119, pp. 105712-105712
Closed Access | Times Cited: 17
On the data quality and imbalance in machine learning-based design and manufacturing—A systematic review
Yaoyao Fiona Zhao, Jiarui Xie, Lijun Sun
Engineering (2024)
Open Access | Times Cited: 3
Robust Multiple-Fault Diagnosis of PMSM Drives Under Variant Operations and Noisy Conditions
Mahmoud S. Mahmoud, Huynh Van Khang, Jagath Sri Lal Senanyaka, et al.
IEEE Open Journal of the Industrial Electronics Society (2023) Vol. 4, pp. 762-772
Open Access | Times Cited: 8
Temporal convolutional approach with residual multi-head attention mechanism for remaining useful life of manufacturing tools
Baosu Guo, Zhaohui Qiao, Hao Dong, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 128, pp. 107538-107538
Closed Access | Times Cited: 7
Discriminant Analysis-Guided Alignment Network for Multimachine Fault Collaborative Learning and Diagnosis
Kai Zhong, Jiaming Zhang, Y. M. Xu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 2
Application of a data-driven approach for maximum fatigue damage prediction of an unbonded flexible riser
Tianjiao Dai, J Zhang, Chao Ren, et al.
Ocean Engineering (2024) Vol. 306, pp. 118053-118053
Open Access | Times Cited: 2
Physics-informed probabilistic deep network with interpretable mechanism for trustworthy mechanical fault diagnosis
Zifei Xu, Kaicheng Zhao, Jin Wang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102806-102806
Open Access | Times Cited: 2
A New Incremental Learning for Bearing Fault Diagnosis Under Noisy Conditions Using Classification and Feature-Level Information
Jun Zhu, Yuanfan Wang, Cheng‐Geng Huang, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 73, pp. 1-14
Closed Access | Times Cited: 6

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