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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:

Data-driven remaining useful life prediction via multiple sensor signals and deep long short-term memory neural network
Jun Wu, Kui Hu, Yiwei Cheng, et al.
ISA Transactions (2019) Vol. 97, pp. 241-250
Closed Access | Times Cited: 276

Showing 1-25 of 276 citing articles:

Intelligent fault diagnosis of rotating machinery based on continuous wavelet transform-local binary convolutional neural network
Yiwei Cheng, Manxi Lin, Jun Wu, et al.
Knowledge-Based Systems (2021) Vol. 216, pp. 106796-106796
Closed Access | Times Cited: 245
Deep learning for prognostics and health management: State of the art, challenges, and opportunities
Behnoush Rezaeianjouybari, Yi Shang
Measurement (2020) Vol. 163, pp. 107929-107929
Closed Access | Times Cited: 231
Aircraft Engine Run-to-Failure Dataset under Real Flight Conditions for Prognostics and Diagnostics
Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, et al.
Data (2021) Vol. 6, Iss. 1, pp. 5-5
Open Access | Times Cited: 177
Remaining Useful Life prediction and challenges: A literature review on the use of Machine Learning Methods
Carlos Ferreira, Gil Gonçalves
Journal of Manufacturing Systems (2022) Vol. 63, pp. 550-562
Open Access | Times Cited: 163
Aircraft engine remaining useful life estimation via a double attention-based data-driven architecture
Lu Liu, Xiao Song, Zhetao Zhou
Reliability Engineering & System Safety (2022) Vol. 221, pp. 108330-108330
Closed Access | Times Cited: 157
Multi-scale integrated deep self-attention network for predicting remaining useful life of aero-engine
Ke Zhao, Zhen Jia, Feng Jia, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105860-105860
Closed Access | Times Cited: 128
Developing an online data-driven approach for prognostics and health management of lithium-ion batteries
Sahar Khaleghi, Md Sazzad Hosen, Danial Karimi, et al.
Applied Energy (2021) Vol. 308, pp. 118348-118348
Closed Access | Times Cited: 119
A convolutional neural network based degradation indicator construction and health prognosis using bidirectional long short-term memory network for rolling bearings
Yiwei Cheng, Kui Hu, Jun Wu, et al.
Advanced Engineering Informatics (2021) Vol. 48, pp. 101247-101247
Closed Access | Times Cited: 114
Application of recurrent neural network to mechanical fault diagnosis: a review
Junjun Zhu, Quan Jiang, Yehu Shen, et al.
Journal of Mechanical Science and Technology (2022) Vol. 36, Iss. 2, pp. 527-542
Closed Access | Times Cited: 105
Bearing remaining useful life prediction with convolutional long short-term memory fusion networks
Shaoke Wan, Xiaohu Li, Yanfei Zhang, et al.
Reliability Engineering & System Safety (2022) Vol. 224, pp. 108528-108528
Closed Access | Times Cited: 68
Remaining useful life prediction of aero-engine enabled by fusing knowledge and deep learning models
Yuanfu Li, Yao Chen, Zhenchao Hu, et al.
Reliability Engineering & System Safety (2022) Vol. 229, pp. 108869-108869
Closed Access | Times Cited: 68
Deep Learning Techniques in Intelligent Fault Diagnosis and Prognosis for Industrial Systems: A Review
Shaohua Qiu, Xiaopeng Cui, Zuowei Ping, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1305-1305
Open Access | Times Cited: 65
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
Machine Fault Detection Using a Hybrid CNN-LSTM Attention-Based Model
Andressa Borré, Laio Oriel Seman, Eduardo Camponogara, et al.
Sensors (2023) Vol. 23, Iss. 9, pp. 4512-4512
Open Access | Times Cited: 49
Research progress and application of deep learning in remaining useful life, state of health and battery thermal management of lithium batteries
Wenbin He, Zongze Li, Ting Liu, et al.
Journal of Energy Storage (2023) Vol. 70, pp. 107868-107868
Closed Access | Times Cited: 42
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
Remaining Useful Life Prognosis Based on Ensemble Long Short-Term Memory Neural Network
Yiwei Cheng, Jun Wu, Haiping Zhu, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 70, pp. 1-12
Closed Access | Times Cited: 109
A BiGRU Autoencoder Remaining Useful Life Prediction Scheme With Attention Mechanism and Skip Connection
Yuhang Duan, Honghui Li, Mengqi He, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 9, pp. 10905-10914
Closed Access | Times Cited: 99
Combining empirical mode decomposition and deep recurrent neural networks for predictive maintenance of lithium-ion battery
James C. Chen, Tzu‐Li Chen, Weijun Liu, et al.
Advanced Engineering Informatics (2021) Vol. 50, pp. 101405-101405
Closed Access | Times Cited: 99
Temporal convolutional network with soft thresholding and attention mechanism for machinery prognostics
Yiwei Wang, Lei Deng, Lianyu Zheng, et al.
Journal of Manufacturing Systems (2021) Vol. 60, pp. 512-526
Closed Access | Times Cited: 97
Intelligent Fault Diagnosis via Semisupervised Generative Adversarial Nets and Wavelet Transform
Pengfei Liang, Chao Deng, Jun Wu, et al.
IEEE Transactions on Instrumentation and Measurement (2019) Vol. 69, Iss. 7, pp. 4659-4671
Closed Access | Times Cited: 88
Remaining useful life prediction based on denoising technique and deep neural network for lithium-ion capacitors
Hao Yang, Penglei Wang, Yabin An, et al.
eTransportation (2020) Vol. 5, pp. 100078-100078
Closed Access | Times Cited: 88
LSTM networks based on attention ordered neurons for gear remaining life prediction
Sheng Xiang, Yi Qin, Caichao Zhu, et al.
ISA Transactions (2020) Vol. 106, pp. 343-354
Closed Access | Times Cited: 84
A Genetic Algorithm Optimized RNN-LSTM Model for Remaining Useful Life Prediction of Turbofan Engine
Kwok Tai Chui, Brij B. Gupta, Pandian Vasant
Electronics (2021) Vol. 10, Iss. 3, pp. 285-285
Open Access | Times Cited: 83
Remaining Useful Life (RUL) Prediction of Equipment in Production Lines Using Artificial Neural Networks
Ziqiu Kang, Cagatay Catal, Bedir Teki̇nerdoğan
Sensors (2021) Vol. 21, Iss. 3, pp. 932-932
Open Access | Times Cited: 81
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