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 for remaining useful life prediction based on consensus self-organizing models
Yuantao Fan, Sławomir Nowaczyk, Thorsteinn Rögnvaldsson
Reliability Engineering & System Safety (2020) Vol. 203, pp. 107098-107098
Open Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

Forecasting: theory and practice
Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos, et al.
International Journal of Forecasting (2022) Vol. 38, Iss. 3, pp. 705-871
Open Access | Times Cited: 542

Health status assessment and remaining useful life prediction of aero-engine based on BiGRU and MMoE
Yong Zhang, Yuqi Xin, Zhi‐Wei Liu, et al.
Reliability Engineering & System Safety (2021) Vol. 220, pp. 108263-108263
Closed Access | Times Cited: 164

Recent advances and trends of predictive maintenance from data-driven machine prognostics perspective
Yuxin Wen, Md Fashiar Rahman, Honglun Xu, et al.
Measurement (2021) Vol. 187, pp. 110276-110276
Open Access | Times Cited: 145

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

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: 100

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 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: 70

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

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

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

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

Challenges and Opportunities of AI-Enabled Monitoring, Diagnosis & Prognosis: A Review
Zhibin Zhao, Jingyao Wu, Tianfu Li, et al.
Chinese Journal of Mechanical Engineering (2021) Vol. 34, Iss. 1
Open Access | Times Cited: 98

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

Deep residual LSTM with domain-invariance for remaining useful life prediction across domains
Song Fu, Yongjian Zhang, Lin Lin, et al.
Reliability Engineering & System Safety (2021) Vol. 216, pp. 108012-108012
Closed Access | Times Cited: 82

Data-Driven Remaining Useful Life Estimation for Milling Process: Sensors, Algorithms, Datasets, and Future Directions
Sameer Sayyad, Satish Kumar, Arunkumar Bongale, et al.
IEEE Access (2021) Vol. 9, pp. 110255-110286
Open Access | Times Cited: 77

A Survey on Data-Driven Predictive Maintenance for the Railway Industry
Narjes Davari, Bruno Veloso, Gustavo de Assis Costa, et al.
Sensors (2021) Vol. 21, Iss. 17, pp. 5739-5739
Open Access | Times Cited: 77

A Systematic Guide for Predicting Remaining Useful Life with Machine Learning
Tarek Berghout, Mohamed Benbouzid
Electronics (2022) Vol. 11, Iss. 7, pp. 1125-1125
Open Access | Times Cited: 51

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

Domain adaptation via alignment of operation profile for Remaining Useful Lifetime prediction
Ismail Nejjar, Fabian Geissmann, Mengjie Zhao, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109718-109718
Open Access | Times Cited: 22

Temporal convolution-based transferable cross-domain adaptation approach for remaining useful life estimation under variable failure behaviors
Jichao Zhuang, Minping Jia, Yifei Ding, et al.
Reliability Engineering & System Safety (2021) Vol. 216, pp. 107946-107946
Closed Access | Times Cited: 52

Deep Unsupervised Domain Adaptation with Time Series Sensor Data: A Survey
Yongjie Shi, Xianghua Ying, Jinfa Yang
Sensors (2022) Vol. 22, Iss. 15, pp. 5507-5507
Open Access | Times Cited: 32

Challenges of machine learning-based RUL prognosis: A review on NASA's C-MAPSS data set
Simon Vollert, Andreas Theissler
(2021), pp. 1-8
Closed Access | Times Cited: 38

A transferable neural network method for remaining useful life prediction
Rui He, Zhigang Tian, Ming J. Zuo
Mechanical Systems and Signal Processing (2022) Vol. 183, pp. 109608-109608
Closed Access | Times Cited: 27

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