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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:

Tensor representation-based transferability analytics and selective transfer learning of prognostic knowledge for remaining useful life prediction across machines
Wentao Mao, Wen Zhang, Ke Feng, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109695-109695
Closed Access | Times Cited: 19

Showing 19 citing articles:

Adaptive weighted generative adversarial network with attention mechanism: A transfer data augmentation method for tool wear prediction
Jianliang He, Yadong Xu, Yi Pan, et al.
Mechanical Systems and Signal Processing (2024) Vol. 212, pp. 111288-111288
Closed Access | Times Cited: 10
Transfer Learning for Prognostics and Health Management: Advances, Challenges, and Opportunities
Ruqiang Yan, Weihua Li, Siliang Lu, et al.
Journal of Dynamics Monitoring and Diagnostics (2024)
Open Access | Times Cited: 5
DCAGGCN: A novel method for remaining useful life prediction of bearings
Deqiang He, Jiayang Zhao, Zhenzhen Jin, et al.
Reliability Engineering & System Safety (2025), pp. 110978-110978
Closed Access
Variational autoencoder based on knowledge sharing and correlation weighting for process-quality concurrent fault detection
Ziyuan Wang, Chengzhu Wang, Yonggang Li
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108051-108051
Closed Access | Times Cited: 4
Research on Fault Prediction Method of Elevator Door System Based on Transfer Learning
Jun Pan, Changxu Shao, Yuefang Dai, et al.
Sensors (2024) Vol. 24, Iss. 7, pp. 2135-2135
Open Access | Times Cited: 4
Remaining useful life prediction across operating conditions based on deep subdomain adaptation network considering the weighted multi-source domain
Chenchen Wu, Jialong He, Wanghao Shen, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112291-112291
Closed Access | Times Cited: 4
TSMixer- and Transfer Learning-Based Highly Reliable Prediction with Short-Term Time Series Data in Small-Scale Solar Power Generation Systems
Younjeong Lee, Jongpil Jeong
Energies (2025) Vol. 18, Iss. 4, pp. 765-765
Open Access
Health assessment and health trend prediction of wind turbine bearing based on BO-BiLSTM model
Zhenen Li, Yujie Xue
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A deep learning-based dynamic deformable adaptive framework for locating the root region of the dynamic flames
Hongkang Tao, Guhong Wang, Jiansheng Liu, et al.
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0301839-e0301839
Open Access | Times Cited: 1
Random convolution layer: an auxiliary method to improve fault diagnosis performance
Zhiqian Zhao, Runchao Zhao, Yinghou Jiao
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 1
Domain generalization for rotating machinery real-time remaining useful life prediction via multi-domain orthogonal degradation feature exploration
Jie Shang, Danyang Xu, Haobo Qiu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 223, pp. 111924-111924
Closed Access | Times Cited: 1
Partial transfer learning method based on MDWCAN for rolling bearing fault diagnosis under noisy conditions
H Wang, Yibin Li, Mingshun Jiang, et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science (2024) Vol. 238, Iss. 16, pp. 8561-8575
Closed Access
A novel cross-domain adaption network based on Se-Sk-DenseNet for remaining useful life prediction of rolling bearings under different working conditions
Baosu Guo, Hang Li, Hao Dong, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 7, pp. 076114-076114
Open Access
An intelligent construction model in whole process for shield tunnelling
Dechun Lu, Yihan Liu, Fanchao Kong, et al.
Research Square (Research Square) (2024)
Open Access
A Novel Few-Shot Deep Transfer Learning Method for Anomaly Detection: Deep Domain-Adversarial Contrastive Network With Time-Frequency Transferability Analytics
Jianing Wu, Wentao Mao, Yanna Zhang, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 17, pp. 28809-28823
Closed Access
Deep transfer learning in machinery remaining useful life prediction: A systematic review
Gaige Chen, Xianguang Kong, Han Cheng, et al.
Measurement Science and Technology (2024) Vol. 36, Iss. 1, pp. 012005-012005
Closed Access
A heterogeneous transfer learning method for fault prediction of railway track circuit
Lan Na, Baigen Cai, Chongzhen Zhang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 140, pp. 109740-109740
Closed Access
Forecasting Human Core and Skin Temperatures: A Long-Term Series Approach
Xinge Han, Jiansong Wu, Zhuqiang Hu, et al.
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 12, pp. 197-197
Open Access
A feature separation transfer network with contrastive metric for remaining useful life prediction under different working conditions
Yi Lyu, Zaichen Shen, Ningxu Zhou, et al.
Reliability Engineering & System Safety (2024), pp. 110790-110790
Closed Access
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