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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 Robust Dual Unscented Particle Filter Method for Remaining Useful Life Prediction of Rolling Bearings
Lingli Cui, Wenjie Li, Dongdong Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-9
Closed Access | Times Cited: 16

Showing 16 citing articles:

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
A novel adaptive generalized domain data fusion-driven kernel sparse representation classification method for intelligent bearing fault diagnosis
Lingli Cui, Zhichao Jiang, Dongdong Liu, et al.
Expert Systems with Applications (2024) Vol. 247, pp. 123225-123225
Closed Access | Times Cited: 26
Rotating machinery fault classification based on one-dimensional residual network with attention mechanism and bidirectional gated recurrent unit
Zhilin Dong, Dezun Zhao, Lingli Cui
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086001-086001
Closed Access | Times Cited: 13
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
An Adaptive Sparse Graph Learning Method Based on Digital Twin Dictionary for Remaining Useful Life Prediction of Rolling Element Bearings
Lingli Cui, Xin Wang, Dongdong Liu, et al.
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 9, pp. 10892-10900
Closed Access | Times Cited: 4
Digital Twin-Driven Graph Convolutional Memory Network for Defect Evolution Assessment of Rolling Bearings
Yongchang Xiao, Lingli Cui, Dongdong Liu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access | Times Cited: 2
Sparse Graph Structure Fusion Convolutional Network for Machinery Remaining Useful Life Prediction
Lingli Cui, Qiang Shen, Yongchang Xiao, et al.
Reliability Engineering & System Safety (2024), pp. 110592-110592
Closed Access | Times Cited: 2
Bearings fault diagnosis under variable speed conditions by hypothesis-based FRFT technique
Lingli Cui, Wei Fan, Xinyuan Zhao, et al.
Engineering Research Express (2024) Vol. 6, Iss. 2, pp. 025508-025508
Open 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
Patch ModernTCN-Mixer: a dual-task temporal convolutional network framework for hybrid implementation of first prediction time detection and remaining useful life prognosis
Dechen Yao, Bo Tang, Jianwei Yang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 11, pp. 116011-116011
Closed Access | Times Cited: 1
IESFSIOgram: A novel adaptive method for optimal demodulation band determination in bearing fault diagnosis
Wenhao Sun, Xinyuan Zhao, Dongdong Liu, et al.
Measurement (2024), pp. 116554-116554
Closed Access | Times Cited: 1
Hybrid Method for Remaining Useful Life Prediction of Power IGBT Modules in High-Speed Trains
Hengzhi Liu, Hesheng Zhang, Yicong Tang
IEEE Transactions on Power Electronics (2024) Vol. 39, Iss. 11, pp. 15101-15117
Closed Access
A Comprehensive Review of Remaining Useful Life Estimation Approaches for Rotating Machinery
Shahil Kumar, Krish Kumar Raj, Maurizio Cirrincione, et al.
Energies (2024) Vol. 17, Iss. 22, pp. 5538-5538
Open Access
Fault Diagnosis of Rolling Bearing Using Convolutional Denoising Autoencoder and Siamese Neural Network With Small Sample
Xufeng Zhao, Ying Chen, Mengshu Yang, et al.
IEEE Internet of Things Journal (2024) Vol. 12, Iss. 5, pp. 5233-5244
Closed Access
A Novel Quantitative Diagnosis Method for Rolling Bearing Faults Based on Digital Twin Model
Lingli Cui, Wenjie Li, Xin Wang, et al.
ISA Transactions (2024) Vol. 157, pp. 381-391
Closed Access
An Integrated Dual-scale Similarity-based Method for Bearing Remaining Useful Life Prediction
Wenjie Li, Dongdong Liu, Xin Wang, et al.
Reliability Engineering & System Safety (2024), pp. 110787-110787
Closed Access
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