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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:

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

Showing 1-25 of 41 citing articles:

The amplitude modulation bispectrum: A weak modulation features extracting method for bearing fault diagnosis
Miaorui Yang, Kun Zhang, Zhipeng Sheng, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110241-110241
Closed Access | Times Cited: 22
Prediction of bearing remaining useful life based on a two-stage updated digital twin
Deqiang He, Jiayang Zhao, Zhenzhen Jin, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103123-103123
Closed Access | Times Cited: 4
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
Digital Twin Models: Functions, Challenges, and Industry Applications
Rakiba Rayhana, Ling Bai, Gaozhi Xiao, et al.
IEEE Journal of Radio Frequency Identification (2024) Vol. 8, pp. 282-321
Closed Access | Times Cited: 6
A novel weighted sparse classification framework with extended discriminative dictionary for data-driven bearing fault diagnosis
Lingli Cui, Zhichao Jiang, Dongdong Liu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 222, pp. 111777-111777
Closed Access | Times Cited: 6
A digital twin system for centrifugal pump fault diagnosis driven by transfer learning based on graph convolutional neural networks
Zifeng Xu, Zhe Wang, Chaojia Gao, et al.
Computers in Industry (2024) Vol. 163, pp. 104155-104155
Closed Access | Times Cited: 6
A two-stage remaining useful life prediction method based on adaptive feature metric and graph spatiotemporal attention rule learning
Shaoyang Liu, Jingfeng Wei, Guofa Li, et al.
Reliability Engineering & System Safety (2025), pp. 110802-110802
Closed Access
Stage-Based Remaining Useful Life Prediction for Bearings Using GNN and Correlation-Driven Feature Extraction
Guang-Bin Huang, Wenping Lei, Xinmin Dong, et al.
Machines (2025) Vol. 13, Iss. 1, pp. 43-43
Open Access
Dynamic Model-driven Dictionary Learning-inspired Domain Adaptation Strategy for Cross-domain Bearing Fault Diagnosis
Zhengyu Du, Dongdong Liu, Lingli Cui
Reliability Engineering & System Safety (2025), pp. 110905-110905
Closed Access
An overlapping group sparse variation method for enhancing time–frequency modulation bispectrum characteristics and its applications in bearing fault diagnosis
Xue Zou, Kun Zhang, Tongtong Liu, et al.
Measurement (2025), pp. 117066-117066
Closed Access
Enhanced deep learning framework for accurate near-failure RUL prediction of bearings in varying operating conditions
Anil Kumar, Chander Parkash, Pradeep Kundu, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103231-103231
Closed Access
DCAGGCN: A novel method for remaining useful life prediction of bearings
Deqiang He, Jiayang Zhao, Zhenzhen Jin, et al.
Reliability Engineering & System Safety (2025), pp. 110978-110978
Closed Access
Residual Life Prediction of Rolling Bearings Driven by Digital Twins
Jiayi Fan, Lijuan Zhao, Minghao Li
Symmetry (2025) Vol. 17, Iss. 3, pp. 406-406
Open Access
Rolling bearing remaining useful life prediction using deep learning based on high-quality representation
Chenyang Wang, Wanlu Jiang, Lei Shi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Adaptive digital twin integration with multilevel inverter control for energy efficient smart rehabilitation systems
Sara Mahmoudi Rashid, Amir Rikhtehgar Ghiasi
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Dual graph driven-consistent representation learning method for semi-supervised fault diagnosis of rotating machinery
Zhichao Jiang, Dongdong Liu, Huaqing Wang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103274-103274
Closed Access
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
UBO-EREX: Uncertainty Bayesian-Optimized Extreme Recurrent EXpansion for Degradation Assessment of Wind Turbine Bearings
Tarek Berghout, Mohamed Benbouzid
Electronics (2024) Vol. 13, Iss. 12, pp. 2419-2419
Open Access | Times Cited: 4
A physics-based sample generation method for few-shot bearing condition monitoring
Zepeng Ma, Lei Fu, Fang Xu, et al.
Knowledge-Based Systems (2025), pp. 112952-112952
Closed Access
RUL Prediction of Rolling Bearings Based on Fruit Fly Optimization Algorithm Optimized CNN-LSTM Neural Network
Jiaping Shen, Haiting Zhou, Muda Jin, et al.
Lubricants (2025) Vol. 13, Iss. 2, pp. 81-81
Open Access
SIGTN: A Novel Structural Infomax Graph Transfer Networks for Rotating Machinery Fault Diagnosis in Cross-Condition and Cross-Equipment Scenarios
Kongliang Zhang, Hongkun Li, Shunxin Cao, et al.
Reliability Engineering & System Safety (2025), pp. 110898-110898
Closed Access
A survey on graph neural networks for remaining useful life prediction: Methodologies, evaluation and future trends
Yucheng Wang, Min Wu, Dongwei Li, et al.
Mechanical Systems and Signal Processing (2025) Vol. 229, pp. 112449-112449
Closed Access
Research on Digital Twin Modeling and Fault Diagnosis Methods for Rolling Bearings
Jiayi Fan, Lijuan Zhao, Minghao Li
Sensors (2025) Vol. 25, Iss. 7, pp. 2023-2023
Open Access
Attention guided partial domain adaptation for interpretable transfer diagnosis of rotating machinery
Gang Wang, Dongdong Liu, Jiawei Xiang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102708-102708
Closed Access | Times Cited: 3
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