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:

Attention-based Gate Recurrent Unit for remaining useful life prediction in prognostics
Ruiguan Lin, Huawei Wang, Minglan Xiong, et al.
Applied Soft Computing (2023) Vol. 143, pp. 110419-110419
Closed Access | Times Cited: 24

Showing 24 citing articles:

Channel attention & temporal attention based temporal convolutional network: A dual attention framework for remaining useful life prediction of the aircraft engines
Lin Lin, Jin‐Lei Wu, Song Fu, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102372-102372
Closed Access | Times Cited: 35

DVGTformer: A dual-view graph Transformer to fuse multi-sensor signals for remaining useful life prediction
Lei Wang, Hongrui Cao, Zhi‐Sheng Ye, et al.
Mechanical Systems and Signal Processing (2023) Vol. 207, pp. 110935-110935
Closed Access | Times Cited: 15

A Bayesian adversarial probsparse Transformer model for long-term remaining useful life prediction
Yongbo Cheng, Junheng Qv, Ke Feng, et al.
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110188-110188
Closed Access | Times Cited: 6

Remaining useful life prediction model of cross-domain rolling bearing via dynamic hybrid domain adaptation and attention contrastive learning
Xingchi Lu, Xuejian Yao, Quan Jiang, et al.
Computers in Industry (2024) Vol. 164, pp. 104172-104172
Closed Access | Times Cited: 5

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

A Deep-Learning Method for Remaining Useful Life Prediction of Power Machinery via Dual-Attention Mechanism
Fan Wang, Aihua Liu, Chunyang Qu, et al.
Sensors (2025) Vol. 25, Iss. 2, pp. 497-497
Open 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

Black-box adversarial examples via frequency distortion against fault diagnosis systems
Sangho Lee, Hoki Kim, Woojin Lee, et al.
Applied Soft Computing (2025), pp. 112828-112828
Closed Access

Remaining useful life prediction based on graph feature attention networks with missing multi-sensor features
Yu Wang, Shangjing Peng, Wang Hong, et al.
Reliability Engineering & System Safety (2025), pp. 110902-110902
Closed Access

FD-LLM: Large language model for fault diagnosis of complex equipment
Lin Lin, Sihao Zhang, Fu Song, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103208-103208
Closed Access

Remaining useful life prediction of rolling bearing based on anomaly correction
Yanfeng Li, Wenyan Zhao, Zhijian Wang, et al.
Nondestructive Testing And Evaluation (2025), pp. 1-19
Closed Access

Remaining Useful Life Prediction of Rolling Bearing Based on Multi-Domain Mixed Features and Temporal Convolutional Networks
Xiangang Cao, Fuqiang Zhang, Jiangbin Zhao, et al.
Applied Sciences (2024) Vol. 14, Iss. 6, pp. 2354-2354
Open Access | Times Cited: 4

Global and local information integrated network for remaining useful life prediction
Zian Chen, Xiaohang Jin, Ziqian Kong, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106956-106956
Closed Access | Times Cited: 8

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

An unsupervised subdomain adversarial network for remaining useful life estimation under various conditions
Zhenfei Wen, Yi Lyu, Aiguo Chen
Quality and Reliability Engineering International (2023) Vol. 40, Iss. 4, pp. 1652-1671
Closed Access | Times Cited: 5

MMoE-GAT: A Multi-Gate Mixture-of-Experts Boosted Graph Attention Network for Aircraft Engine Remaining Useful Life Prediction
Lu Liu, Xiao Song, Bingli Sun, et al.
Communications in computer and information science (2023), pp. 451-465
Closed Access | Times Cited: 2

DRLSTM-DA: a novel aeroengine remaining useful life prediction method based on deep optimization of multiple sensors information
Shiwei Suo, Song Fu, Lin Lin, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 095112-095112
Open Access

A Rolling Bearing Performance Degradation Evaluation Method Based on Statistical Correlation Superposition
Jiesong Li, Tao Liu, Xing Wu
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access

Temporal online self-learning stochastic configuration networks: A study on strip deviation prediction
Han Gao, Yumei Qin, Hao Yuan, et al.
Information Sciences (2024), pp. 121446-121446
Closed Access

Prediction of geometrically nonlinear behavior for the strength optimization of composite laminates using attention-based Seq2Seq model
Yuechen Hu, Kuan Fan, Yun Zhang, et al.
Computer Methods in Applied Mechanics and Engineering (2024) Vol. 432, pp. 117399-117399
Closed Access

Improved multiple penalty mechanism based loss function for more realistic aeroengine RUL advanced prediction
Chaojing Lin, Yunxiao Chen, Mingliang Bai, et al.
Reliability Engineering & System Safety (2024), pp. 110666-110666
Closed Access

A novel remaining useful life prediction method under multiple operating conditions based on attention mechanism and deep learning
Jie Wang, Lu Zhong, Jia Zhou, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 103083-103083
Closed Access

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