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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 estimation using long short-term memory deep learning
Che-Sheng Hsu, Jehn‐Ruey Jiang
2018 IEEE International Conference on Applied System Invention (ICASI) (2018), pp. 58-61
Closed Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

A Review on Soft Sensors for Monitoring, Control, and Optimization of Industrial Processes
Yuchen Jiang, Shen Yin, Jingwei Dong, et al.
IEEE Sensors Journal (2020) Vol. 21, Iss. 11, pp. 12868-12881
Closed Access | Times Cited: 433
Deep separable convolutional network for remaining useful life prediction of machinery
Biao Wang, Yaguo Lei, Naipeng Li, et al.
Mechanical Systems and Signal Processing (2019) Vol. 134, pp. 106330-106330
Closed Access | Times Cited: 311
A multimodal and hybrid deep neural network model for Remaining Useful Life estimation
Ali Al-Dulaimi, Soheil Zabihi, Amir Asif, et al.
Computers in Industry (2019) Vol. 108, pp. 186-196
Closed Access | Times Cited: 231
An ensemble framework based on convolutional bi-directional LSTM with multiple time windows for remaining useful life estimation
Tangbin Xia, Ya Song, Yu Zheng, et al.
Computers in Industry (2019) Vol. 115, pp. 103182-103182
Closed Access | Times Cited: 207
Hierarchical attention graph convolutional network to fuse multi-sensor signals for remaining useful life prediction
Tianfu Li, Zhibin Zhao, Chuang Sun, et al.
Reliability Engineering & System Safety (2021) Vol. 215, pp. 107878-107878
Closed Access | Times Cited: 150
Artificial intelligence in prognostics and health management of engineering systems
Sunday Ochella, Mahmood Shafiee, Fateme Dinmohammadi
Engineering Applications of Artificial Intelligence (2021) Vol. 108, pp. 104552-104552
Open Access | Times Cited: 94
Data-driven prognosis method using hybrid deep recurrent neural network
Min Xia, Xi Zheng, Muhammad Imran, et al.
Applied Soft Computing (2020) Vol. 93, pp. 106351-106351
Open Access | Times Cited: 89
Long Short-Term Memory Networks Based Automatic Feature Extraction for Photovoltaic Array Fault Diagnosis
Albert Yaw Appiah, Zhang Xing-hua, Ben Beklisi Kwame Ayawli, et al.
IEEE Access (2019) Vol. 7, pp. 30089-30101
Open Access | Times Cited: 88
Time Series Multiple Channel Convolutional Neural Network with Attention-Based Long Short-Term Memory for Predicting Bearing Remaining Useful Life
Jehn‐Ruey Jiang, Juei-En Lee, Yi-Ming Zeng
Sensors (2019) Vol. 20, Iss. 1, pp. 166-166
Open Access | Times Cited: 88
Transfer learning enabled convolutional neural networks for estimating health state of cutting tools
Mohamed Marei, Shirine El Zaatari, Weidong Li
Robotics and Computer-Integrated Manufacturing (2021) Vol. 71, pp. 102145-102145
Open Access | Times Cited: 87
LSTM-based multi-layer self-attention method for remaining useful life estimation of mechanical systems
Jun Xia, Yunwen Feng, Cheng Lu, et al.
Engineering Failure Analysis (2021) Vol. 125, pp. 105385-105385
Closed Access | Times Cited: 85
Transformer-based hierarchical latent space VAE for interpretable remaining useful life prediction
Jing Tao, Pai Zheng, Liqiao Xia, et al.
Advanced Engineering Informatics (2022) Vol. 54, pp. 101781-101781
Closed Access | Times Cited: 47
Predicting remaining useful life of a machine based on embedded attention parallel networks
Xiong Zhang, Yunfei Guo, Hong Shangguan, et al.
Mechanical Systems and Signal Processing (2023) Vol. 192, pp. 110221-110221
Closed Access | Times Cited: 27
Remaining Useful Life Estimation Using Long Short-Term Memory Neural Networks and Deep Fusion
Yang Zhang, Paul Hutchinson, Nicholas A J Lieven, et al.
IEEE Access (2020) Vol. 8, pp. 19033-19045
Open Access | Times Cited: 63
A Deep Domain Adaptative Network for Remaining Useful Life Prediction of Machines Under Different Working Conditions and Fault Modes
Mengqi Miao, Jianbo Yu
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-14
Closed Access | Times Cited: 50
A Remaining Useful Life Prognosis of Turbofan Engine Using Temporal and Spatial Feature Fusion
Cheng Peng, Yufeng Chen, Qing Chen, et al.
Sensors (2021) Vol. 21, Iss. 2, pp. 418-418
Open Access | Times Cited: 47
A dual path hybrid neural network framework for remaining useful life prediction of aero‐engine
Xinhua Lu, Haobo Pan, Lingxiao Zhang, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 4, pp. 1795-1810
Closed Access | Times Cited: 7
Railway turnout system RUL prediction based on feature fusion and genetic programming
Cong Chen, Tianhua Xu, Guang Wang, et al.
Measurement (2019) Vol. 151, pp. 107162-107162
Open Access | Times Cited: 50
Challenges of machine learning-based RUL prognosis: A review on NASA's C-MAPSS data set
Simon Vollert, Andreas Theissler
(2021), pp. 1-8
Closed Access | Times Cited: 38
A multi-head neural network with unsymmetrical constraints for remaining useful life prediction
Zhenyu Liu, Hui Liu, Weiqiang Jia, et al.
Advanced Engineering Informatics (2021) Vol. 50, pp. 101396-101396
Closed Access | Times Cited: 37
RUL Prediction Using a Fusion of Attention-Based Convolutional Variational AutoEncoder and Ensemble Learning Classifier
Ikram Remadna, Labib Sadek Terrissa, Zeina Al Masry, et al.
IEEE Transactions on Reliability (2022) Vol. 72, Iss. 1, pp. 106-124
Open Access | Times Cited: 28
A Novel Deep Learning-Based Encoder-Decoder Model for Remaining Useful Life Prediction
Hui Liu, Zhenyu Liu, Weiqiang Jia, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2019), pp. 1-8
Closed Access | Times Cited: 35
Deep Learning-Based Cloud–Edge Collaboration Framework for Remaining Useful Life Prediction of Machinery
Jing Tao, Xitian Tian, Hao Hu, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 10, pp. 7208-7218
Closed Access | Times Cited: 26
Remaining useful life prediction for ion etching machine cooling system using deep recurrent neural network-based approaches
Shimeng Wu, Yuchen Jiang, Hao Luo, et al.
Control Engineering Practice (2021) Vol. 109, pp. 104748-104748
Closed Access | Times Cited: 25
A Hybrid Deep Learning Framework for Intelligent Predictive Maintenance of Cyber-physical Systems
Maxim Shcherbakov, Sai Van Cuong
ACM Transactions on Cyber-Physical Systems (2022) Vol. 6, Iss. 2, pp. 1-22
Closed Access | Times Cited: 19
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