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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 Turbofan Engines Using CNN-LSTM-SAM Approach
Jie Li, Yuanjie Jia, Mingbo Niu, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 9, pp. 10241-10251
Closed Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Prediction of the temperature of diesel engine oil in railroad locomotives using compressed information-based data fusion method with attention-enhanced CNN-LSTM
Xin Wang, Xiang Liu, Yun Bai
Applied Energy (2024) Vol. 367, pp. 123357-123357
Closed Access | Times Cited: 11
A multiple conditions dual inputs attention network remaining useful life prediction method
Chengying Zhao, Huaitao Shi, Xianzhen Huang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108160-108160
Closed Access | Times Cited: 8
Remaining Useful Life Prediction for Bearing Based on Coupled Diffusion Process and Temporal Attention
Yixiang Lu, D. S. Tang, De Zhu, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-10
Closed Access | Times Cited: 6
A comprehensive survey of machine remaining useful life prediction approaches based on pattern recognition: taxonomy and challenges
Jianghong Zhou, Jiahong Yang, Quan Qian, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 062001-062001
Closed Access | Times Cited: 6
A Two-Stage Attention-Based Hierarchical Transformer for Turbofan Engine Remaining Useful Life Prediction
Zhengyang Fan, Wanru Li, Kuo‐Chu Chang
Sensors (2024) Vol. 24, Iss. 3, pp. 824-824
Open Access | Times Cited: 5
A Deep Parallel Spatiotemporal Network based on Feature Cross-fusion for Remaining Useful Life Prediction of Aero Engine
Chenchen Wu, Jialong He, Guofa Li, et al.
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-13
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
A dual-path architecture based on time series decomposition and degradation correction for remaining useful life prediction of aero-engine
Chenchen Wu, Jialong He, Liang Wang, et al.
Computers & Industrial Engineering (2025), pp. 110964-110964
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
Adaptive Feature Utilization With Separate Gating Mechanism and Global Temporal Convolutional Network for Remaining Useful Life Prediction
Pengcheng Xia, Yixiang Huang, Chengjin Qin, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 18, pp. 21408-21420
Closed Access | Times Cited: 13
Turbofan Engine Health Prediction Model Based on ESO-BP Neural Network
Xiaoli Zhang, Nuo Xu, Wei Dai, et al.
Applied Sciences (2024) Vol. 14, Iss. 5, pp. 1996-1996
Open Access | Times Cited: 4
Remaining useful life prediction under variable operating conditions via multisource adversarial domain adaptation networks
Junrong Du, Lei Song, Xuanang Gui, et al.
Applied Soft Computing (2024) Vol. 161, pp. 111717-111717
Closed Access | Times Cited: 4
Remaining useful life estimation of bearing via temporal convolutional networks enhanced by a gated convolutional unit
Yujie Qin, Fanfan Gan, Baizhan Xia, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108308-108308
Closed Access | Times Cited: 3
Advances and limitations in machine learning approaches applied to remaining useful life predictions: a critical review
Xianpeng Qiao, Veronica Lestari Jauw, Lim Chin Seong, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 133, Iss. 9-10, pp. 4059-4076
Closed Access | Times Cited: 3
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
Assistive Force Cycle Prediction Method for Lower Limb Exoskeleton Based on Independent Attitude Processing Sensor
Lei Sun, Hao Wang, Rundong Lu
IEEE Sensors Journal (2024) Vol. 24, Iss. 7, pp. 9562-9572
Closed Access | Times Cited: 2
A novel approach based on spatio-temporal attention and multi-scale modeling for mechanical failure prediction
Weimin Zhai, Weiming Fu, Jiahu Qin, et al.
Control Engineering Practice (2024) Vol. 147, pp. 105938-105938
Closed Access | Times Cited: 2
Method for Remaining Useful Life Prediction of Turbofan Engines Combining Adam Optimization-Based Self-Attention Mechanism with Temporal Convolutional Networks
Hairui Wang, Dongjun Li, Ya Li, et al.
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7723-7723
Open Access | Times Cited: 2
HFTL-KD: A new heterogeneous federated transfer learning approach for degradation trajectory prediction in large-scale decentralized systems
Shixiang Lü, Zhi-Wei Gao, Yuanhong Liu
Control Engineering Practice (2024) Vol. 153, pp. 106098-106098
Closed Access | Times Cited: 2
Predicting the Remaining Useful Life of Turbofan Engines Using Fractional Lévy Stable Motion with Long-Range Dependence
Deyu Qi, Zijiang Zhu, Fengmin Yao, et al.
Fractal and Fractional (2024) Vol. 8, Iss. 1, pp. 55-55
Open Access | Times Cited: 1
Characterisation of contactor degradation states based on improved variational modal decomposition and optimised similarity metrics with combined weights
Shuxin Liu, Yankai Li, Chaojian Xing, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 15, pp. 24275-24287
Closed Access | Times Cited: 1
Advanced RUL Estimation for Lithium-Ion Batteries: Integrating Attention-Based LSTM with Mutual Learning-enhanced Artificial Bee Colony Optimization
Yi-Jun Xu
Journal of The Institution of Engineers (India) Series B (2024)
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
Multiscale Feature Extension Enhanced Deep Global–Local Attention Network for Remaining Useful Life Prediction
Rourou Li, Yimin Jiang, Tangbin Xia, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 20, pp. 25557-25571
Closed Access | Times Cited: 4
Aero-engine remaining useful life prediction based on a long-term channel self-attention network
Xuezhen Liu, Yongyi Chen, Hongjie Ni, et al.
Signal Image and Video Processing (2023) Vol. 18, Iss. 1, pp. 637-645
Closed Access | Times Cited: 3
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