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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:

Remaining useful life prediction of bearings with attention-awared graph convolutional network
Yupeng Wei, Dazhong Wu
Advanced Engineering Informatics (2023) Vol. 58, pp. 102143-102143
Open Access | Times Cited: 21

Showing 21 citing articles:

Temporal multi-resolution hypergraph attention network for remaining useful life prediction of rolling bearings
Jinxin Wu, Deqiang He, Jiayi Li, et al.
Reliability Engineering & System Safety (2024) Vol. 247, pp. 110143-110143
Closed Access | Times Cited: 29
A novel method for predicting the remaining useful life of MOSFETs based on a linear multi-fractional Lévy stable motion driven by a GRU similarity transfer network
Shuai Lv, Shujie Liu, Hongkun Li, et al.
Reliability Engineering & System Safety (2025), pp. 110818-110818
Closed Access | Times Cited: 1
State of health and remaining useful life prediction of lithium-ion batteries with conditional graph convolutional network
Yupeng Wei, Dazhong Wu
Expert Systems with Applications (2023) Vol. 238, pp. 122041-122041
Open Access | Times Cited: 22
A bearing remaining life prediction method under variable operating conditions based on cross-transformer fusioning segmented data cleaning
Dongxiao Hou, Jiahui Chen, Rongcai Cheng, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 110021-110021
Closed Access | Times Cited: 6
Improved sand cat swarm optimization algorithm assisted GraphSAGE-GRU for remaining useful life of engine
Yongliang Yuan, Ruifang Li, Guohu Wang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open 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
Remaining useful life prediction using graph convolutional attention networks with temporal convolution-aware nested residual connections
Yupeng Wei, Dazhong Wu, Janis Terpenny
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109776-109776
Open Access | Times Cited: 13
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
Vibration signal analysis for rolling bearings faults diagnosis based on deep-shallow features fusion
Ahmed Chennana, Ahmed Chaouki Megherbi, Noureddine Bessous, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Multi-source information fusion for dynamic safety risk prediction of aerial building machine using spatial–temporal multi-graph convolution network
Jiaqi Wang, Yuqing Fan, Pan Xi, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103261-103261
Closed Access
Conditional variational transformer for bearing remaining useful life prediction
Yupeng Wei, Dazhong Wu
Advanced Engineering Informatics (2023) Vol. 59, pp. 102247-102247
Open Access | Times Cited: 11
Residual-based adversarial feature decoupling for remaining useful life prediction of aero-engines under variable operating conditions
Jingcheng Wen, Jiaxin Ren, Zhibin Zhao, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124538-124538
Closed Access | Times Cited: 2
Uncertainty graph convolution recurrent neural network for air quality forecasting
Dong Mei, Yue Sun, Yutao Jin, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102651-102651
Closed Access | Times Cited: 1
SA-MSIFF: Soft sensing the cement f-CaO content with a self-adaptive multisource information fusion framework in clinker burning process
Yuchen Zhao, Chunjie Yang, Yaoyao Bao, et al.
Journal of Process Control (2024) Vol. 141, pp. 103282-103282
Closed Access | Times Cited: 1
A generalized network with domain invariance and specificity representation for bearing remaining useful life prediction under unknown conditions
Qing Zheng, Pengtao Teng, Kai Zhang, et al.
Knowledge-Based Systems (2024), pp. 112915-112915
Closed Access | Times Cited: 1
Sheet resistance prediction of laser induced graphitic carbon with transformer encoder-enabled contrastive learning
Yupeng Wei, Gerd Grau, Dazhong Wu
Journal of Intelligent Manufacturing (2024)
Closed Access
Enhancing Lithium-Ion Battery Health Predictions by Hybrid-Grained Graph Modeling
Chuang Xing, Hangyu Liu, Zekun Zhang, et al.
Sensors (2024) Vol. 24, Iss. 13, pp. 4185-4185
Open Access
FCHG: Fuzzy Cognitive Hypergraph for interpretable fault detection
Dunwang Qin, Zhen Peng, Lifeng Wu
Expert Systems with Applications (2024) Vol. 255, pp. 124700-124700
Closed Access
A Deep Learning-Based Framework for Bearing RUL Prediction to Optimize Laser Shock Peening Remanufacturing
Yuchen Liang, Yuqi Wang, An‐Ping Li, et al.
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10493-10493
Open Access
Multi-graph attention temporal convolutional network-based radius prediction in three-roller bending of thin-walled parts
Liling Zuo, Jie Zhang, Y. F. Lyu, et al.
Advanced Engineering Informatics (2024) Vol. 63, pp. 102940-102940
Closed Access
Feature learning for bearing prognostics: A comprehensive review of machine/deep learning methods, challenges, and opportunities
Ahmed Ayman, Ahmed Onsy, Omneya Attallah, et al.
Measurement (2024), pp. 116589-116589
Open Access
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