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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 26-50 of 276 citing articles:

An integrated deep multiscale feature fusion network for aeroengine remaining useful life prediction with multisensor data
Xingqiu Li, Hongkai Jiang, Yuan Liu, et al.
Knowledge-Based Systems (2021) Vol. 235, pp. 107652-107652
Closed Access | Times Cited: 73
Prognostics and Health Management of Industrial Assets: Current Progress and Road Ahead
Luca Biggio, Iason Kastanis
Frontiers in Artificial Intelligence (2020) Vol. 3
Open Access | Times Cited: 69
Sensor data-driven structural damage detection based on deep convolutional neural networks and continuous wavelet transform
Zuoyi Chen, Yanzhi Wang, Jun Wu, et al.
Applied Intelligence (2021) Vol. 51, Iss. 8, pp. 5598-5609
Closed Access | Times Cited: 64
Autoencoder Quasi-Recurrent Neural Networks for Remaining Useful Life Prediction of Engineering Systems
Yiwei Cheng, Kui Hu, Jun Wu, et al.
IEEE/ASME Transactions on Mechatronics (2021) Vol. 27, Iss. 2, pp. 1081-1092
Closed Access | Times Cited: 63
Multiscale deep bidirectional gated recurrent neural networks based prognostic method for complex non-linear degradation systems
Sourajit Behera, Rajiv Misra, Alberto Sillitti
Information Sciences (2021) Vol. 554, pp. 120-144
Closed Access | Times Cited: 56
Deep Bidirectional Recurrent Neural Networks Ensemble for Remaining Useful Life Prediction of Aircraft Engine
Kui Hu, Yiwei Cheng, Jun Wu, et al.
IEEE Transactions on Cybernetics (2021) Vol. 53, Iss. 4, pp. 2531-2543
Closed Access | Times Cited: 55
Trend attention fully convolutional network for remaining useful life estimation
Linchuan Fan, Yi Chai, Xiaolong Chen
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108590-108590
Closed Access | Times Cited: 53
Multi-dimensional recurrent neural network for remaining useful life prediction under variable operating conditions and multiple fault modes
Yiwei Cheng, Chao Wang, Jun Wu, et al.
Applied Soft Computing (2022) Vol. 118, pp. 108507-108507
Closed Access | Times Cited: 40
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
An attention-based temporal convolutional network method for predicting remaining useful life of aero-engine
Qiang Zhang, Qiong Liu, Ye Qin
Engineering Applications of Artificial Intelligence (2023) Vol. 127, pp. 107241-107241
Closed Access | Times Cited: 38
Remaining useful life prediction via a deep adaptive transformer framework enhanced by graph attention network
Pengfei Liang, Ying Li, Bin Wang, et al.
International Journal of Fatigue (2023) Vol. 174, pp. 107722-107722
Closed Access | Times Cited: 36
Towards machine-learning driven prognostics and health management of Li-ion batteries. A comprehensive review
Sahar Khaleghi, Md Sazzad Hosen, Joeri Van Mierlo, et al.
Renewable and Sustainable Energy Reviews (2023) Vol. 192, pp. 114224-114224
Closed Access | Times Cited: 34
Cocktail LSTM and Its Application Into Machine Remaining Useful Life Prediction
Sheng Xiang, Jianghong Zhou, Jun Luo, et al.
IEEE/ASME Transactions on Mechatronics (2023) Vol. 28, Iss. 5, pp. 2425-2436
Closed Access | Times Cited: 24
Attention-based Gate Recurrent Unit for remaining useful life prediction in prognostics
Ruiguan Lin, Huawei Wang, Minglan Xiong, et al.
Applied Soft Computing (2023) Vol. 143, pp. 110419-110419
Closed Access | Times Cited: 24
Res-HSA: Residual hybrid network with self-attention mechanism for RUL prediction of rotating machinery
Junjun Zhu, Quan Jiang, Yehu Shen, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106491-106491
Closed Access | Times Cited: 24
A wiener-based remaining useful life prediction method with multiple degradation patterns
Yuxiong Li, Xianzhen Huang, Tianhong Gao, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102066-102066
Closed Access | Times Cited: 24
Single gated RNN with differential weighted information storage mechanism and its application to machine RUL prediction
Sheng Xiang, Penghua Li, Huang Yi, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109741-109741
Closed Access | Times Cited: 23
A multimodal dynamic parameterized bilinear factorized framework for remaining useful life prediction under variational data
Yuan Wang, Yaguo Lei, Naipeng Li, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 110025-110025
Closed Access | Times Cited: 13
A regularized constrained two-stream convolution augmented Transformer for aircraft engine remaining useful life prediction
Jiangyan Zhu, Jun Ma, Jiande Wu
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108161-108161
Closed Access | Times Cited: 12
Adaptive Forecasting in Energy Consumption: A Bibliometric Analysis and Review
Manuel Jaramillo, Wilson Pavón, L.F. Jaramillo
Data (2024) Vol. 9, Iss. 1, pp. 13-13
Open Access | Times Cited: 10
Remaining useful life prediction techniques for electric valves based on convolution auto encoder and long short term memory
Hang Wang, Minjun Peng, Zhuang Miao, et al.
ISA Transactions (2020) Vol. 108, pp. 333-342
Closed Access | Times Cited: 65
A generalized cauchy method for remaining useful life prediction of wind turbine gearboxes
He Liu, Wanqing Song, Yuhui Niu, et al.
Mechanical Systems and Signal Processing (2020) Vol. 153, pp. 107471-107471
Closed Access | Times Cited: 62
Rolling Bearing Fault Diagnosis Based on Wavelet Packet Transform and Convolutional Neural Network
Guoqiang Li, Chao Deng, Jun Wu, et al.
Applied Sciences (2020) Vol. 10, Iss. 3, pp. 770-770
Open Access | Times Cited: 60
Reliability prediction of machinery with multiple degradation characteristics using double-Wiener process and Monte Carlo algorithm
Yiwei Cheng, Haiping Zhu, Kui Hu, et al.
Mechanical Systems and Signal Processing (2019) Vol. 134, pp. 106333-106333
Closed Access | Times Cited: 54
Deep long short-term memory based model for agricultural price forecasting
Ronit Jaiswal, Girish Kumar Jha, Rajeev Ranjan Kumar, et al.
Neural Computing and Applications (2021) Vol. 34, Iss. 6, pp. 4661-4676
Closed Access | Times Cited: 54

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