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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:

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

Showing 1-25 of 130 citing articles:

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
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: 146
An AIS-based deep learning framework for regional ship behavior prediction
Brian C. Murray, Lokukaluge P. Perera
Reliability Engineering & System Safety (2021) Vol. 215, pp. 107819-107819
Open Access | Times Cited: 127
Blockchain-based decentralized federated transfer learning methodology for collaborative machinery fault diagnosis
Zhang We, Ziwei Wang, Xiang Li
Reliability Engineering & System Safety (2022) Vol. 229, pp. 108885-108885
Closed Access | Times Cited: 113
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
Data privacy preserving federated transfer learning in machinery fault diagnostics using prior distributions
Zhang We, Xiang Li
Structural Health Monitoring (2021) Vol. 21, Iss. 4, pp. 1329-1344
Closed Access | Times Cited: 104
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
Intelligent Machinery Fault Diagnosis With Event-Based Camera
Xiang Li, Shupeng Yu, Yaguo Lei, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 1, pp. 380-389
Closed Access | Times Cited: 95
Deep transfer learning based on Bi-LSTM and attention for remaining useful life prediction of rolling bearing
Shaojiang Dong, Jiafeng Xiao, Xiaolin Hu, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108914-108914
Closed Access | Times Cited: 85
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
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
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
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
Federated transfer learning in fault diagnosis under data privacy with target self-adaptation
Xu Li, Chi Zhang, Xiang Li, et al.
Journal of Manufacturing Systems (2023) Vol. 68, pp. 523-535
Closed Access | Times Cited: 48
Anomaly detection for industrial quality assurance: A comparative evaluation of unsupervised deep learning models
Justus Zipfel, Felix Verworner, Marco Fischer, et al.
Computers & Industrial Engineering (2023) Vol. 177, pp. 109045-109045
Open Access | Times Cited: 47
A reinforcement ensemble deep transfer learning network for rolling bearing fault diagnosis with Multi-source domains
Xingqiu Li, Hongkai Jiang, Min Xie, et al.
Advanced Engineering Informatics (2021) Vol. 51, pp. 101480-101480
Closed Access | Times Cited: 98
2MNet: Multi-sensor and multi-scale model toward accurate fault diagnosis of rolling bearing
Yang Guan, Zong Meng, Dengyun Sun, et al.
Reliability Engineering & System Safety (2021) Vol. 216, pp. 108017-108017
Closed Access | Times Cited: 96
Fault prediction of bearings based on LSTM and statistical process analysis
Junqiang Liu, Pan Chunlu, Lei Fan, et al.
Reliability Engineering & System Safety (2021) Vol. 214, pp. 107646-107646
Closed Access | Times Cited: 95
Health indicator for machine condition monitoring built in the latent space of a deep autoencoder
Ana González, Ignacio Díaz, Abel A. Cuadrado, et al.
Reliability Engineering & System Safety (2022) Vol. 224, pp. 108482-108482
Open Access | Times Cited: 65
The two-stage RUL prediction across operation conditions using deep transfer learning and insufficient degradation data
Han Cheng, Xianguang Kong, Qibin Wang, et al.
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108581-108581
Closed Access | Times Cited: 52
Self-Supervised Deep Domain-Adversarial Regression Adaptation for Online Remaining Useful Life Prediction of Rolling Bearing Under Unknown Working Condition
Wentao Mao, Jiaxian Chen, Jing Liu, et al.
IEEE Transactions on Industrial Informatics (2022) Vol. 19, Iss. 2, pp. 1227-1237
Closed Access | Times Cited: 52
Dynamic Model-Assisted Bearing Remaining Useful Life Prediction Using the Cross-Domain Transformer Network
Yongchao Zhang, Ke Feng, Jinchen Ji, et al.
IEEE/ASME Transactions on Mechatronics (2022) Vol. 28, Iss. 2, pp. 1070-1080
Closed Access | Times Cited: 49
Distance self-attention network method for remaining useful life estimation of aeroengine with parallel computing
Jun Xia, Yunwen Feng, Da Teng, et al.
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108636-108636
Closed Access | Times Cited: 46
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