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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 life prediction combined dynamic model with transfer learning under insufficient degradation data
Han Cheng, Xianguang Kong, Qibin Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 236, pp. 109292-109292
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Intelligent fault diagnosis of bearings under small samples: A mechanism-data fusion approach
Kun Xu, Xianguang Kong, Qibin Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107063-107063
Closed Access | Times Cited: 29
Physics-informed unsupervised domain adaptation framework for cross-machine bearing fault diagnosis
Ning Jia, Weiguo Huang, Chuancang Ding, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102774-102774
Closed Access | Times Cited: 10
Multi-feature spaces cross adaption transfer learning-based bearings piece-wise remaining useful life prediction under unseen degradation data
Zejian Li, De-Jun Cheng, Han-Bing Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102413-102413
Closed Access | Times Cited: 9
Performance degradation assessment of rolling bearing cage failure based on enhanced CycleGAN
Caizi Fan, Pengfei Wang, Hui Ma, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124697-124697
Closed Access | Times Cited: 8
Pre-training enhanced unsupervised contrastive domain adaptation for industrial equipment remaining useful life prediction
Haodong Li, Peng Cao, X. Wang, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102517-102517
Closed Access | Times Cited: 7
Artificial intelligence-based data-driven prognostics in industry: A survey
Mohamed A. El-Brawany, Dina A. Ibrahim, Hamdy K. Elminir, et al.
Computers & Industrial Engineering (2023) Vol. 184, pp. 109605-109605
Closed Access | Times Cited: 21
Towards trustworthy remaining useful life prediction through multi-source information fusion and a novel LSTM-DAU model
Rui Bai, Khandaker Noman, Yu Yang, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 110047-110047
Closed Access | Times Cited: 7
A temporal partial domain adaptation network for transferable prognostics across working conditions with insufficient data
Yuhui Xu, Tangbin Xia, Yimin Jiang, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110273-110273
Closed Access | Times Cited: 5
Dual-drive RUL Prediction of Gear Transmission Systems based on Dynamic Model and Unsupervised Domain Adaption under Zero Sample
Yaoyao Han, Xiaoxi Ding, Fengshou Gu, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110442-110442
Closed Access | Times Cited: 5
A survey on few-shot learning for remaining useful life prediction
Renpeng Mo, Han Zhou, Hongpeng Yin, et al.
Reliability Engineering & System Safety (2025), pp. 110850-110850
Closed Access
Digital twin-driven operational CycleGAN-based multiple virtual-physical mappings for remaining useful life prediction under limited life cycle data
Quanning Xu, Zihao Lei, Gu Shu-Long, et al.
Journal of Advanced Research (2025)
Open Access
Data augmentation based on diffusion probabilistic model for remaining useful life estimation of aero-engines
Wei Wang, Honghao Song, Shubin Si, et al.
Reliability Engineering & System Safety (2024) Vol. 252, pp. 110394-110394
Closed Access | Times Cited: 4
Physics-informed Gaussian Process Probabilistic Modeling with Multi-source Data for Prognostics of Degradation Processes
Chen Jiang, Teng Zhong, Hyunhee Choi, et al.
Reliability Engineering & System Safety (2025), pp. 110893-110893
Closed Access
Few-shot reliability evaluation of tribopairs degradation based on active learning supported generative adversarial network
Zhonghai Ma, Yiwen Sun, Fanglong Yin, et al.
Engineering Failure Analysis (2024) Vol. 165, pp. 108772-108772
Closed Access | Times Cited: 3
A Condition Monitoring Method of Hydraulic Gear Pumps Based on Multilevel Mechanism-Data Fusion
Linlin Ren, Hongbo Ma, Wen Zhou, et al.
International Journal of Aerospace Engineering (2024) Vol. 2024, pp. 1-27
Open Access | Times Cited: 1
Advancements in Bearing Remaining Useful Life Prediction Methods: A Comprehensive Review
Liuyang Song, Tianjiao Lin, Jin Ye, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 092003-092003
Closed Access | Times Cited: 1
Sinkhorn Divergence-based Contrast Domain Adaptation for Remaining Useful Life Prediction of Rolling Bearings under Multiple Operating Conditions
Yan Han, Ailin Hu, Qingqing Huang, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110557-110557
Closed Access | Times Cited: 1
A novel two-stage method via adversarial strategy for remaining useful life prediction of bearings under variable conditions
Yang Liu, Guanghui Zhou, Shujian Zhao, et al.
Reliability Engineering & System Safety (2024), pp. 110602-110602
Closed Access | Times Cited: 1
A multi-period-sequential-index combination method for short-term prediction of small sample data
Hongyan Jiang, Feng Cheng, Wu Cong, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109767-109767
Closed Access | Times Cited: 2
Predictive Analytics in IoT and CPS: Enhancing Industrial Machinery Reliability through Sensor Data-Driven Remaining Useful Life Estimation
Emrullah Gultekin, Mehmet S. Aktaş
2021 IEEE International Conference on Big Data (Big Data) (2023)
Closed Access | Times Cited: 2
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
The STAP-Net: A new health perception and prediction framework for bearing-rotor systems under special working conditions
Tongguang Yang, Dazhong Wu, Shizheng Qiu, et al.
Reliability Engineering & System Safety (2024) Vol. 254, pp. 110633-110633
Closed Access
Turbofan Engine Remaining Useful Life Prediction Based on Sample Efficient Transfer Learning and Leveraging Large Language Model
Y.S. Chen, Cheng Liu
(2024)
Closed Access
Label synchronization strategies for hybrid federated learning
Raúl Llasag Rosero, Catarina Silva, Bernardete Ribeiro, et al.
Reliability Engineering & System Safety (2024), pp. 110751-110751
Open Access
An Integrated Dual-scale Similarity-based Method for Bearing Remaining Useful Life Prediction
Wenjie Li, Dongdong Liu, Xin Wang, et al.
Reliability Engineering & System Safety (2024), pp. 110787-110787
Closed Access
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