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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:

Health status assessment and remaining useful life prediction of aero-engine based on BiGRU and MMoE
Yong Zhang, Yuqi Xin, Zhi‐Wei Liu, et al.
Reliability Engineering & System Safety (2021) Vol. 220, pp. 108263-108263
Closed Access | Times Cited: 164

Showing 26-50 of 164 citing articles:

Data Regeneration Based on Multiple Degradation Processes for Remaining Useful Life Estimation
Ningning Yang, Zhijian Wang, Wenan Cai, et al.
Reliability Engineering & System Safety (2022) Vol. 229, pp. 108867-108867
Closed Access | Times Cited: 31
Domain Adaptive Remaining Useful Life Prediction With Transformer
Xinyao Li, Jingjing Li, Lin Zuo, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-13
Closed Access | Times Cited: 28
Multi-source domain generalization for degradation monitoring of journal bearings under unseen conditions
Ning Ding, Hu-Lin Li, Xin Qi, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108966-108966
Closed Access | Times Cited: 27
Health indicators for remaining useful life prediction of complex systems based on long short-term memory network and improved particle filter
Yadong Zhang, Chao Zhang, Shaoping Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 241, pp. 109666-109666
Closed Access | Times Cited: 21
A novel contrastive adversarial network for minor-class data augmentation: Applications to pipeline fault diagnosis
Chuang Wang, Zidong Wang, Lifeng Ma, et al.
Knowledge-Based Systems (2023) Vol. 271, pp. 110516-110516
Closed Access | Times Cited: 20
Multi-task learning boosted predictions of the remaining useful life of aero-engines under scenarios of working-condition shift
Zhiyao Zhang, Xiaohong Chen, Enrico Zio, et al.
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109350-109350
Closed Access | Times Cited: 20
A Review of Remaining Useful Life Prediction for Energy Storage Components Based on Stochastic Filtering Methods
Liyuan Shao, Yong Zhang, Xiujuan Zheng, et al.
Energies (2023) Vol. 16, Iss. 3, pp. 1469-1469
Open Access | Times Cited: 18
Estimating remaining useful life of rotating machinery using relevance vector machine and deep learning network
Lele Li, Jiawang Xu, Juguang Li
Engineering Failure Analysis (2023) Vol. 146, pp. 107125-107125
Closed Access | Times Cited: 18
Dynamic spatial–temporal graph convolutional recurrent networks for traffic flow forecasting
Z.H. Xia, Yong Zhang, Jielong Yang, et al.
Expert Systems with Applications (2023) Vol. 240, pp. 122381-122381
Closed Access | Times Cited: 18
Attention-augmented recalibrated and compensatory network for machine remaining useful life prediction
Zhifu Huang, Yang Yang, Yawei Hu, et al.
Reliability Engineering & System Safety (2023) Vol. 235, pp. 109247-109247
Closed Access | Times Cited: 17
Time Series Prediction in Industry 4.0: A Comprehensive Review and Prospects for Future Advancements
Nataliia Kashpruk, C. Piskor-Ignatowicz, Jerzy Baranowski
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12374-12374
Open Access | Times Cited: 17
Integrated assessment of reliability and health status of multi-microgrids based on multiagent
Xing Yu Guo, Qiang Feng, Bo Sun, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 109978-109978
Closed Access | Times Cited: 7
Early Uncertainty Quantification Prediction of Lithium-Ion Battery Remaining Useful Life With Transformer Ensemble Model
Jijuan Hu, Lifeng Wu
IEEE Transactions on Transportation Electrification (2024) Vol. 10, Iss. 4, pp. 8618-8629
Closed Access | Times Cited: 6
Adaptive staged remaining useful life prediction of roller in a hot strip mill based on multi-scale LSTM with multi-head attention
Ting Zhu, Zhen Chen, Di Zhou, et al.
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110161-110161
Closed Access | Times Cited: 6
BEV feature exchange pyramid networks-based 3D object detection in small and distant situations: A decentralized federated learning framework
Rukai Lan, Yong Zhang, Linbo Xie, et al.
Neurocomputing (2024) Vol. 583, pp. 127476-127476
Closed Access | Times Cited: 5
HeMTAN: Hybrid task-adapted experts-based multi-task attention network for unseen compound fault decoupling diagnosis of rotating machinery
Jimeng Li, Wei Wang, Sai Zhong, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124189-124189
Closed Access | Times Cited: 5
Study of three-dimensional distribution of chloride in coral aggregate concrete: A CNN-BiGRU-attention data-intelligence model driven by beluga whale optimization algorithm
Daming Luo, Tianze Wang, Jie Han, et al.
Construction and Building Materials (2024) Vol. 458, pp. 139740-139740
Closed Access | Times Cited: 5
Engine Health Prediction Using Ensemble Deep Learning
K. Sruthi, R. Sandhiya, Geetha Priya E, et al.
SSRN Electronic Journal (2025)
Closed Access
A temporal-spatial encoder convolutional network model for multitasking prediction
Chengying Zhao, Huaitao Shi, Xianzhen Huang, et al.
Applied Intelligence (2025) Vol. 55, Iss. 5
Closed Access
Fusion-Based Dual-Task Architecture for Predicting the Remaining Useful Life of an Aeroengine
Xiao Zhong Du, Jiajie Chen, Jiqiang Wang, et al.
Journal of Aerospace Engineering (2025) Vol. 38, Iss. 3
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
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
RUL prediction of rolling bearings across working conditions based on multi-scale convolutional parallel memory domain adaptation network
Jimeng Li, Weilin Mao, Bixin Yang, et al.
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109854-109854
Closed Access | Times Cited: 13
Remaining useful life prediction of bearings using a trend memory attention-based GRU network
Jingwei Li, Sai Li, Yajun Fan, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 055001-055001
Open Access | Times Cited: 4
A lifetime prediction model based on two-path convolution with attention mechanism and bidirectional long short-term memory network
Xianbin Sun, Meiqi Dong, Lin Bai, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056120-056120
Closed Access | Times Cited: 4

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