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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 lifetime prediction via deep domain adaptation
Paulo Roberto de Oliveira da Costa, Alp Akçay, Yingqian Zhang, et al.
Reliability Engineering & System Safety (2019) Vol. 195, pp. 106682-106682
Open Access | Times Cited: 264

Showing 1-25 of 264 citing articles:

Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry
Andreas Theissler, Judith Pérez-Velázquez, Marcel Kettelgerdes, et al.
Reliability Engineering & System Safety (2021) Vol. 215, pp. 107864-107864
Open Access | Times Cited: 300
Fusing physics-based and deep learning models for prognostics
Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, et al.
Reliability Engineering & System Safety (2021) Vol. 217, pp. 107961-107961
Open Access | Times Cited: 246
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: 204
A comprehensive review of digital twin — part 1: modeling and twinning enabling technologies
Adam Thelen, Xiaoge Zhang, Olga Fink, et al.
Structural and Multidisciplinary Optimization (2022) Vol. 65, Iss. 12
Open Access | Times Cited: 182
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
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
Transfer learning for remaining useful life prediction of multi-conditions bearings based on bidirectional-GRU network
Yudong Cao, Minping Jia, Peng Ding, et al.
Measurement (2021) Vol. 178, pp. 109287-109287
Closed Access | Times Cited: 142
Transfer learning using deep representation regularization in remaining useful life prediction across operating conditions
Zhang We, Xiang Li, Hui Ma, et al.
Reliability Engineering & System Safety (2021) Vol. 211, pp. 107556-107556
Closed Access | Times Cited: 130
A variational local weighted deep sub-domain adaptation network for remaining useful life prediction facing cross-domain condition
Jiusi Zhang, Xiang Li, Jilun Tian, et al.
Reliability Engineering & System Safety (2022) Vol. 231, pp. 108986-108986
Closed Access | Times Cited: 111
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
Remaining Useful Life Prediction With Partial Sensor Malfunctions Using Deep Adversarial Networks
Xiang Li, Yixiao Xu, Naipeng Li, et al.
IEEE/CAA Journal of Automatica Sinica (2022) Vol. 10, Iss. 1, pp. 121-134
Closed Access | Times Cited: 96
Bayesian transfer learning with active querying for intelligent cross-machine fault prognosis under limited data
Rong Zhu, Weiwen Peng, Dong Wang, et al.
Mechanical Systems and Signal Processing (2022) Vol. 183, pp. 109628-109628
Closed Access | Times Cited: 81
Intelligent fault diagnosis of rotating machinery using a multi-source domain adaptation network with adversarial discrepancy matching
Shaowei Liu, Hongkai Jiang, Zhenghong Wu, et al.
Reliability Engineering & System Safety (2022) Vol. 231, pp. 109036-109036
Closed Access | Times Cited: 75
A survey of transfer learning for machinery diagnostics and prognostics
Siya Yao, Qi Kang, MengChu Zhou, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 4, pp. 2871-2922
Closed Access | Times Cited: 74
A Novel Transfer Learning Approach in Remaining Useful Life Prediction for Incomplete Dataset
Shahin Siahpour, Xiang Li, Jay Lee
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 72
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
Transfer Learning for Remaining Useful Life Prediction Across Operating Conditions Based on Multisource Domain Adaptation
Yifei Ding, Peng Ding, Xiaoli Zhao, et al.
IEEE/ASME Transactions on Mechatronics (2022) Vol. 27, Iss. 5, pp. 4143-4152
Closed Access | Times Cited: 67
Cross-domain augmentation diagnosis: An adversarial domain-augmented generalization method for fault diagnosis under unseen working conditions
Qi Li, Liang Chen, Lin Kong, et al.
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109171-109171
Open Access | Times Cited: 65
Partial Domain Adaptation in Remaining Useful Life Prediction With Incomplete Target Data
Xiang Li, Zhang We, Xu Li, et al.
IEEE/ASME Transactions on Mechatronics (2023) Vol. 29, Iss. 3, pp. 1903-1913
Closed Access | Times Cited: 64
Fault diagnosis in rotating machines based on transfer learning: Literature review
Iqbal Misbah, C.K.M. Lee, K. L. Keung
Knowledge-Based Systems (2023) Vol. 283, pp. 111158-111158
Closed Access | Times Cited: 57
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
Multi-hop graph pooling adversarial network for cross-domain remaining useful life prediction: A distributed federated learning perspective
Jiusi Zhang, Jilun Tian, Pengfei Yan, et al.
Reliability Engineering & System Safety (2024) Vol. 244, pp. 109950-109950
Closed Access | Times Cited: 51
A hybrid deep transfer learning strategy for short term cross-building energy prediction
Xi Fang, Guangcai Gong, Guannan Li, et al.
Energy (2020) Vol. 215, pp. 119208-119208
Closed Access | Times Cited: 128
Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction
Mohamed Ragab, Zhenghua Chen, Min Wu, et al.
IEEE Transactions on Industrial Informatics (2020) Vol. 17, Iss. 8, pp. 5239-5249
Open Access | Times Cited: 121
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