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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:

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: 307

Showing 1-25 of 307 citing articles:

A comprehensive review on convolutional neural network in machine fault diagnosis
Jinyang Jiao, Ming Zhao, Jing Lin, et al.
Neurocomputing (2020) Vol. 417, pp. 36-63
Open Access | Times Cited: 403
Recurrent convolutional neural network: A new framework for remaining useful life prediction of machinery
Biao Wang, Yaguo Lei, Tao Yan, et al.
Neurocomputing (2019) Vol. 379, pp. 117-129
Closed Access | Times Cited: 233
A novel temporal convolutional network with residual self-attention mechanism for remaining useful life prediction of rolling bearings
Yudong Cao, Yifei Ding, Minping Jia, et al.
Reliability Engineering & System Safety (2021) Vol. 215, pp. 107813-107813
Closed Access | Times Cited: 233
A multi-stage semi-supervised learning approach for intelligent fault diagnosis of rolling bearing using data augmentation and metric learning
Kun Yu, Tian Ran Lin, Hui Ma, et al.
Mechanical Systems and Signal Processing (2020) Vol. 146, pp. 107043-107043
Closed Access | Times Cited: 230
An improved similarity-based prognostic algorithm for RUL estimation using an RNN autoencoder scheme
Wennian Yu, Il Yong Kim, Chris Mechefske
Reliability Engineering & System Safety (2020) Vol. 199, pp. 106926-106926
Closed Access | Times Cited: 216
Multiscale Convolutional Attention Network for Predicting Remaining Useful Life of Machinery
Biao Wang, Yaguo Lei, Naipeng Li, et al.
IEEE Transactions on Industrial Electronics (2020) Vol. 68, Iss. 8, pp. 7496-7504
Closed Access | Times Cited: 196
Transferable convolutional neural network based remaining useful life prediction of bearing under multiple failure behaviors
Han Cheng, Xianguang Kong, Gaige Chen, et al.
Measurement (2020) Vol. 168, pp. 108286-108286
Closed Access | Times Cited: 166
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
Remaining useful life prediction of roller bearings based on improved 1D-CNN and simple recurrent unit
Dechen Yao, Boyang Li, Hengchang Liu, et al.
Measurement (2021) Vol. 175, pp. 109166-109166
Closed Access | Times Cited: 115
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
Transfer learning algorithms for bearing remaining useful life prediction: A comprehensive review from an industrial application perspective
Jiaxian Chen, Ruyi Huang, Zhuyun Chen, et al.
Mechanical Systems and Signal Processing (2023) Vol. 193, pp. 110239-110239
Closed Access | Times Cited: 101
Alarm-based predictive maintenance scheduling for aircraft engines with imperfect Remaining Useful Life prognostics
Ingeborg de Pater, Arthur Reijns, Mihaela Mitici
Reliability Engineering & System Safety (2022) Vol. 221, pp. 108341-108341
Open Access | Times Cited: 88
Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial
Venkat Pavan Nemani, Luca Biggio, Xun Huan, et al.
Mechanical Systems and Signal Processing (2023) Vol. 205, pp. 110796-110796
Open Access | Times Cited: 75
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
Dynamic predictive maintenance for multiple components using data-driven probabilistic RUL prognostics: The case of turbofan engines
Mihaela Mitici, Ingeborg de Pater, Anne Barros, et al.
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109199-109199
Open Access | Times Cited: 57
A difference attention ResNet-LSTM network for epileptic seizure detection using EEG signal
Xuanjie Qiu, Fang Yan, Haihong Liu
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104652-104652
Closed Access | Times Cited: 56
A new convolutional dual-channel Transformer network with time window concatenation for remaining useful life prediction of rolling bearings
Li Jiang, Tianao Zhang, Lei Wei, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 101966-101966
Closed Access | Times Cited: 54
A Feature Extraction Method Using VMD and Improved Envelope Spectrum Entropy for Rolling Bearing Fault Diagnosis
Yang Yang, Hui Liu, Lijin Han, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 4, pp. 3848-3858
Closed Access | Times Cited: 51
A new supervised multi-head self-attention autoencoder for health indicator construction and similarity-based machinery RUL prediction
Yi Qin, Jiahong Yang, Jianghong Zhou, et al.
Advanced Engineering Informatics (2023) Vol. 56, pp. 101973-101973
Closed Access | Times Cited: 51
Condition monitoring of wind turbines with the implementation of spatio-temporal graph neural network
Jiayang Liu, Xiaosun Wang, Fuqi Xie, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 121, pp. 106000-106000
Closed Access | Times Cited: 45
A hybrid method for cutting tool RUL prediction based on CNN and multistage Wiener process using small sample data
Xiangyu Zhang, Bowen Shi, Bowen Feng, et al.
Measurement (2023) Vol. 213, pp. 112739-112739
Closed Access | Times Cited: 41
Prediction of bearing remaining useful life based on DACN-ConvLSTM model
Guopeng Zhu, Zening Zhu, Ling Xiang, et al.
Measurement (2023) Vol. 211, pp. 112600-112600
Closed Access | Times Cited: 40
Temporal multi-resolution hypergraph attention network for remaining useful life prediction of rolling bearings
Jinxin Wu, Deqiang He, Jiayi Li, et al.
Reliability Engineering & System Safety (2024) Vol. 247, pp. 110143-110143
Closed Access | Times Cited: 29
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
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