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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 1-25 of 164 citing articles:

Intelligent fault identification of hydraulic pump using deep adaptive normalized CNN and synchrosqueezed wavelet transform
Shengnan Tang, Yong Zhu, Shouqi Yuan
Reliability Engineering & System Safety (2022) Vol. 224, pp. 108560-108560
Closed Access | Times Cited: 110
Deep transfer learning based on Bi-LSTM and attention for remaining useful life prediction of rolling bearing
Shaojiang Dong, Jiafeng Xiao, Xiaolin Hu, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108914-108914
Closed Access | Times Cited: 85
A gated graph convolutional network with multi-sensor signals for remaining useful life prediction
Lei Wang, Hongrui Cao, Hao Xu, et al.
Knowledge-Based Systems (2022) Vol. 252, pp. 109340-109340
Closed Access | Times Cited: 76
Aero-engine remaining useful life prediction method with self-adaptive multimodal data fusion and cluster-ensemble transfer regression
Jiaxian Chen, Dongpeng Li, Ruyi Huang, et al.
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109151-109151
Closed Access | Times Cited: 53
A parallel GRU with dual-stage attention mechanism model integrating uncertainty quantification for probabilistic RUL prediction of wind turbine bearings
Lixiao Cao, Hongyu Zhang, Zong Meng, et al.
Reliability Engineering & System Safety (2023) Vol. 235, pp. 109197-109197
Closed Access | Times Cited: 52
A reliability evaluation model of rolling bearings based on WKN-BiGRU and Wiener process
Le Dai, Junyu Guo, Jia-Lun Wan, et al.
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108646-108646
Closed Access | Times Cited: 51
A two-stage integrated method for early prediction of remaining useful life of lithium-ion batteries
Guijun Ma, Zidong Wang, Weibo Liu, et al.
Knowledge-Based Systems (2022) Vol. 259, pp. 110012-110012
Open Access | Times Cited: 46
Remaining useful life estimation for two-phase nonlinear degradation processes
Changhua Hu, Yuanxing Xing, Dangbo Du, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108945-108945
Closed Access | Times Cited: 38
Data-driven prognostics based on time-frequency analysis and symbolic recurrent neural network for fuel cells under dynamic load
Chu Wang, Manfeng Dou, Zhongliang Li, et al.
Reliability Engineering & System Safety (2023) Vol. 233, pp. 109123-109123
Open Access | Times Cited: 38
Research on rolling bearing virtual-real fusion life prediction with digital twin
Wentao Zhao, Chao Zhang, Bin Fan, et al.
Mechanical Systems and Signal Processing (2023) Vol. 198, pp. 110434-110434
Open Access | Times Cited: 35
Multitask learning of health state assessment and remaining useful life prediction for sensor-equipped machines
Jianhai Yan, Zhen He, Shuguang He
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109141-109141
Closed Access | Times Cited: 34
Estimating the State of Health for Lithium-ion Batteries: A Particle Swarm Optimization-Assisted Deep Domain Adaptation Approach
Guijun Ma, Zidong Wang, Weibo Liu, et al.
IEEE/CAA Journal of Automatica Sinica (2023) Vol. 10, Iss. 7, pp. 1530-1543
Closed Access | Times Cited: 31
A comparison study of centralized and decentralized federated learning approaches utilizing the transformer architecture for estimating remaining useful life
Sayaka Kamei, Sharareh Taghipour
Reliability Engineering & System Safety (2023) Vol. 233, pp. 109130-109130
Closed Access | Times Cited: 30
Health evaluation of axial piston pumps based on density weighted support vector data description
Qun Chao, Yuechen Shao, Chengliang Liu, et al.
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109354-109354
Closed Access | Times Cited: 30
Remaining Useful Life Prediction of Bearings Based on Convolution Attention Mechanism and Temporal Convolution Network
Haitao Wang, Jie Yang, Ruihua Wang, et al.
IEEE Access (2023) Vol. 11, pp. 24407-24419
Open Access | Times Cited: 29
Remaining Useful Life Prediction of Aircraft Turbofan Engine Based on Random Forest Feature Selection and Multi-Layer Perceptron
Hairui Wang, Dongwen Li, Dongjun Li, et al.
Applied Sciences (2023) Vol. 13, Iss. 12, pp. 7186-7186
Open Access | Times Cited: 25
Production quality prediction of multistage manufacturing systems using multi-task joint deep learning
Pei Wang, Hai Qu, Qianle Zhang, et al.
Journal of Manufacturing Systems (2023) Vol. 70, pp. 48-68
Closed Access | Times Cited: 23
PAOLTransformer: Pruning-adaptive optimal lightweight Transformer model for aero-engine remaining useful life prediction
Xin Zhang, Jiankai Sun, Jiaxu Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 240, pp. 109605-109605
Closed Access | Times Cited: 22
Physics-inspired multimodal machine learning for adaptive correlation fusion based rotating machinery fault diagnosis
Dingyi Sun, Yongbo Li, Zheng Liu, et al.
Information Fusion (2024) Vol. 108, pp. 102394-102394
Closed Access | Times Cited: 12
Data-driven method embedded physical knowledge for entire lifecycle degradation monitoring in aircraft engines
Dasheng Xiao, Zhifu Lin, Aiyang Yu, et al.
Reliability Engineering & System Safety (2024) Vol. 247, pp. 110100-110100
Closed Access | Times Cited: 10
A novel transformer-based DL model enhanced by position-sensitive attention and gated hierarchical LSTM for aero-engine RUL prediction
Xinping Chen
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8
MST-GAT: A multi-perspective spatial-temporal graph attention network for multi-sensor equipment remaining useful life prediction
Liang Zhou, Huawei Wang
Information Fusion (2024) Vol. 110, pp. 102462-102462
Closed Access | Times Cited: 8
Prediction of gas concentration evolution with evolutionary attention-based temporal graph convolutional network
Lei Cheng, Li Li, Sai Li, et al.
Expert Systems with Applications (2022) Vol. 200, pp. 116944-116944
Closed Access | Times Cited: 34
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
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