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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:

A Novel Convolution Network Based on Temporal Attention Fusion Mechanism for Remaining Useful Life Prediction of Rolling Bearings
Zong Meng, Bo Xu, Lixiao Cao, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 4, pp. 3990-3999
Closed Access | Times Cited: 18

Showing 18 citing articles:

Adaptive thresholding and coordinate attention-based tree-inspired network for aero-engine bearing health monitoring under strong noise
Dezun Zhao, Wenbin Cai, Lingli Cui
Advanced Engineering Informatics (2024) Vol. 61, pp. 102559-102559
Closed Access | Times Cited: 46
Digital twin-driven graph domain adaptation neural network for remaining useful life prediction of rolling bearing
Lingli Cui, Yongchang Xiao, Dongdong Liu, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 109991-109991
Closed Access | Times Cited: 41
Dynamic weighted federated remaining useful life prediction approach for rotating machinery
Yi Qin, Jiahong Yang, Jianghong Zhou, et al.
Mechanical Systems and Signal Processing (2023) Vol. 202, pp. 110688-110688
Closed Access | Times Cited: 22
Prediction of Remaining Useful Life of Rolling Bearings Based on Multiscale Efficient Channel Attention CNN and Bidirectional GRU
Ping Ma, Guangfu Li, Hongli Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-13
Closed Access | Times Cited: 11
Heterogeneous graph representation-driven multiplex aggregation graph neural network for remaining useful life prediction of bearings
Yongchang Xiao, Dongdong Liu, Lingli Cui, et al.
Mechanical Systems and Signal Processing (2024) Vol. 220, pp. 111679-111679
Closed Access | Times Cited: 7
Remaining Useful Life Prediction for Bearing Based on Coupled Diffusion Process and Temporal Attention
Yixiang Lu, D. S. Tang, De Zhu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access | Times Cited: 6
Method for predicting remaining useful life of rolling bearings based on dynamic complexity characteristic entropy and quantum neural networks
Yang Liu, Yingchun Wang, Yudong Wang, et al.
Engineering Failure Analysis (2025), pp. 109315-109315
Closed Access
A novel cross-scenario transferable RUL prediction network with multisource domain meta transfer learning for wind turbine bearings
Lixiao Cao, Xue‐Ping Wang, Hongyu Zhang, et al.
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-9
Closed Access
Remaining useful life prediction of rolling bearing via composite multiscale permutation entropy and Elman neural network
Yongjian Sun, Zihan Wang
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108852-108852
Closed Access | Times Cited: 4
Improving predictive maintenance: Evaluating the impact of preprocessing and model complexity on the effectiveness of eXplainable Artificial Intelligence methods
M. Ndao, Genane Youness, Ndèye Niang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110144-110144
Open Access
A hybrid prognostic approach combined with deep bayesian transformer and enhanced particle filter for remaining useful life prediction of bearings
Xiaodan Chen, Ke Li, Shaofan Wang, et al.
Measurement (2025) Vol. 252, pp. 117184-117184
Closed Access
Remaining Useful Life Prediction of High-Dimensional Kernel Density Estimation With Adaptive Relative Density Window Width Considering Multisource Information Fusion
Shaomeng Wei, Xinran Liu, Hui Shi, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 5, pp. 6548-6563
Closed Access | Times Cited: 2
Data and Mechanism Modeling: Residual Life Start–End Determination for Systems With Stable Equilibrium State
Qian Xia, Jiguang Yue, Jichang Chen, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 1
A Hybrid Approach for Predicting the Remaining Useful Life of Bearings Based on the RReliefF Algorithm and Extreme Learning Machine
Senhui Wang, Xi Kang, Cheng Wang, et al.
Computer Modeling in Engineering & Sciences (2024) Vol. 140, Iss. 2, pp. 1405-1427
Open Access | Times Cited: 1
Remaining useful life prediction for rolling bearings based on adaptive aggregation of dynamic feature correlations
Sichao Sun, Jie Luo, A. B. Huang, et al.
Journal of Vibration and Control (2024)
Closed Access | Times Cited: 1
Multi-graph attention fusion graph neural network for remaining useful life prediction of rolling bearings
Yongchang Xiao, Lingli Cui, Dongdong Liu
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 106125-106125
Closed Access | Times Cited: 1
A Novel prediction of remaining useful life time of rolling bearings using Convolutional Neural network with Bidirectional Long Short Term Memory
R. Balamurugan, Dattatray G. Takale, M. Muzammil Parvez, et al.
Journal of Engineering Research (2024)
Open Access
Switching Unscented Kalman Filters with Unknown Transition Probabilities for Remaining Useful Life Prediction of Bearings
Xiaodan Chen, Ke Li, Shaofan Wang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 20, pp. 32577-32595
Closed Access
Contrastive Generative Replay Method of Remaining Useful Life Prediction for Rolling Bearings
Tiancheng Wang, Di Guo, Xi‐Ming Sun
IEEE Sensors Journal (2023) Vol. 23, Iss. 19, pp. 23893-23902
Closed Access | Times Cited: 1
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