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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 1-25 of 81 citing articles:

Multi-hop graph pooling adversarial network for cross-domain remaining useful life prediction: A distributed federated learning perspective
Jiusi Zhang, Jilun Tian, Pengfei Yan, et al.
Reliability Engineering & System Safety (2024) Vol. 244, pp. 109950-109950
Closed Access | Times Cited: 51
A knowledge dynamic matching unit-guided multi-source domain adaptation network with attention mechanism for rolling bearing fault diagnosis
Zhenghong Wu, Hongkai Jiang, Hongxuan Zhu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 189, pp. 110098-110098
Closed Access | Times Cited: 50
Deep causal factorization network: A novel domain generalization method for cross-machine bearing fault diagnosis
Sixiang Jia, Yongbo Li, Xinyue Wang, et al.
Mechanical Systems and Signal Processing (2023) Vol. 192, pp. 110228-110228
Closed Access | Times Cited: 49
Digital twin-assisted enhanced meta-transfer learning for rolling bearing fault diagnosis
Leiming Ma, Bin Jiang, Lingfei Xiao, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110490-110490
Closed Access | Times Cited: 43
Machine learning for battery systems applications: Progress, challenges, and opportunities
Zahra Nozarijouybari, Hosam K. Fathy
Journal of Power Sources (2024) Vol. 601, pp. 234272-234272
Closed Access | Times Cited: 27
Small data challenges for intelligent prognostics and health management: a review
Chuanjiang Li, Shaobo Li, Yixiong Feng, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 8
Open Access | Times Cited: 23
A new multi-source information domain adaption network based on domain attributes and features transfer for cross-domain fault diagnosis
Yue Yu, Hamid Reza Karimi, Peiming Shi, et al.
Mechanical Systems and Signal Processing (2024) Vol. 211, pp. 111194-111194
Open Access | Times Cited: 20
The LPST-Net: A new deep interval health monitoring and prediction framework for bearing-rotor systems under complex operating conditions
Tongguang Yang, Guanchen Li, Kaitai Li, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102558-102558
Closed Access | Times Cited: 16
A CNN‐BiLSTM‐Bootstrap integrated method for remaining useful life prediction of rolling bearings
Junyu Guo, Jiang Wang, Zhiyuan Wang, et al.
Quality and Reliability Engineering International (2023) Vol. 39, Iss. 5, pp. 1796-1813
Closed Access | Times Cited: 35
A hybrid intelligent rolling bearing fault diagnosis method combining WKN-BiLSTM and attention mechanism
Jiang Wang, Junyu Guo, Lin Wang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 8, pp. 085106-085106
Closed Access | Times Cited: 29
IDSN: A one-stage interpretable and differentiable STFT domain adaptation network for traction motor of high-speed trains cross-machine diagnosis
Chao He, Hongmei Shi, Jianbo Li
Mechanical Systems and Signal Processing (2023) Vol. 205, pp. 110846-110846
Closed Access | Times Cited: 27
Enhanced residual convolutional domain adaptation network with CBAM for RUL prediction of cross-machine rolling bearing
Xingchi Lu, Quan Jiang, Yehu Shen, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 109976-109976
Closed Access | Times Cited: 12
Prognostics and health management for predictive maintenance: A review
Chao Huang, Siqi Bu, Hiu Hung Lee, et al.
Journal of Manufacturing Systems (2024) Vol. 75, pp. 78-101
Closed Access | Times Cited: 12
Transfer learning-based deep learning models for proton exchange membrane fuel remaining useful life prediction
Getnet Awoke Kebede, Shih‐Che Lo, Fu‐Kwun Wang, et al.
Fuel (2024) Vol. 367, pp. 131461-131461
Closed Access | Times Cited: 10
Multivariate Risk Assessment for Offshore Jacket Platforms by Gaidai Reliability Method
Oleg Gaidai, Yu Cao, Yan Zhu, et al.
Journal of Marine Science and Application (2024)
Closed Access | Times Cited: 9
Degradation path approximation for remaining useful life estimation
Linchuan Fan, Wen‐Yi Lin, Xiaolong Chen, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102422-102422
Closed Access | Times Cited: 8
Conditional feature disentanglement learning for anomaly detection in machines operating under time-varying conditions
Haoxuan Zhou, Zihao Lei, Enrico Zio, et al.
Mechanical Systems and Signal Processing (2023) Vol. 191, pp. 110139-110139
Closed Access | Times Cited: 21
System-Level Performance Degradation Prediction for Power Converters Based on SSA–Elman NN and Empirical Knowledge
Ying Zeng, Tudi Huang, Tingyu Zhang, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 1240-1250
Closed Access | Times Cited: 21
Tensor representation-based transferability analytics and selective transfer learning of prognostic knowledge for remaining useful life prediction across machines
Wentao Mao, Wen Zhang, Ke Feng, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109695-109695
Closed Access | Times Cited: 19
Integrating active learning and semi-supervised learning for improved data-driven HVAC fault diagnosis performance
Cheng Fan, Qiuting Wu, Yang Zhao, et al.
Applied Energy (2023) Vol. 356, pp. 122356-122356
Closed Access | Times Cited: 19
Bearing Fault Diagnosis Under Multisensor Fusion Based on Modal Analysis and Graph Attention Network
Ziran Meng, Jun Zhu, Shancheng Cao, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-10
Closed Access | Times Cited: 16
Bayesian Fusion of Degradation and Failure Time Data for Reliability Assessment of Industrial Equipment Considering Individual Differences
Guo‐Zhong Fu, Xian Zhang, Wei Li, et al.
Processes (2024) Vol. 12, Iss. 2, pp. 268-268
Open Access | Times Cited: 6
A critical review on system architecture, techniques, trends and challenges in intelligent predictive maintenance
Suraj Gupta, Akhilesh Kumar, J. Maiti
Safety Science (2024) Vol. 177, pp. 106590-106590
Closed Access | Times Cited: 6
Multivariate risk assessment for offshore structures by Gaidai risk evaluation method under an accumulation of fatigue damage, utilizing novel deconvolution scheme
Peijiang Qin, Oleg Gaidai, Jinlu Sheng, et al.
Structures (2024) Vol. 70, pp. 107691-107691
Closed Access | Times Cited: 6
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
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