
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:
RUL prediction of rolling bearings across working conditions based on multi-scale convolutional parallel memory domain adaptation network
Jimeng Li, Weilin Mao, Bixin Yang, et al.
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109854-109854
Closed Access | Times Cited: 13
Jimeng Li, Weilin Mao, Bixin Yang, et al.
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109854-109854
Closed Access | Times Cited: 13
Showing 13 citing articles:
A neural network approach to predict the time-to-failure of atmospheric tanks exposed to external fire
Nicola Tamascelli, Giordano Emrys Scarponi, Md. Tanjin Amin, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 109974-109974
Open Access | Times Cited: 8
Nicola Tamascelli, Giordano Emrys Scarponi, Md. Tanjin Amin, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 109974-109974
Open Access | Times Cited: 8
Heterogeneous graph representation-driven multiplex aggregation graph neural network for remaining useful life prediction of bearings
Yongchang Xiao, Dongdong Liu, Lingli Cui, et al.
Mechanical Systems and Signal Processing (2024) Vol. 220, pp. 111679-111679
Closed Access | Times Cited: 7
Yongchang Xiao, Dongdong Liu, Lingli Cui, et al.
Mechanical Systems and Signal Processing (2024) Vol. 220, pp. 111679-111679
Closed Access | Times Cited: 7
Enhanced stochastic recurrent hybrid model for RUL Predictions via Semi-supervised learning
Yan‐Hui Lin, Liang Chang, Lu-Xin Guan
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110167-110167
Closed Access | Times Cited: 5
Yan‐Hui Lin, Liang Chang, Lu-Xin Guan
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110167-110167
Closed 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
Deqiang He, Jiayang Zhao, Zhenzhen Jin, et al.
Reliability Engineering & System Safety (2025), pp. 110978-110978
Closed Access
Transformer-based novel framework for remaining useful life prediction of lubricant in operational rolling bearings
Sung-Hyun Kim, Yun-Ho Seo, Junhong Park
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110377-110377
Closed Access | Times Cited: 4
Sung-Hyun Kim, Yun-Ho Seo, Junhong Park
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110377-110377
Closed Access | Times Cited: 4
Remaining useful life prediction of Nuclear Reactor Control Rod Drive Mechanism based on Dynamic Temporal Convolutional Network
Chen Wang, Yu Zhang, Lingxin Chen, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110580-110580
Closed Access | Times Cited: 4
Chen Wang, Yu Zhang, Lingxin Chen, et al.
Reliability Engineering & System Safety (2024) Vol. 253, pp. 110580-110580
Closed Access | Times Cited: 4
Data-driven predictive maintenance framework considering the multi-source information fusion and uncertainty in remaining useful life prediction
Qifa Xu, Zhiwei Wang, Cuixia Jiang, et al.
Knowledge-Based Systems (2024) Vol. 303, pp. 112408-112408
Closed Access | Times Cited: 3
Qifa Xu, Zhiwei Wang, Cuixia Jiang, et al.
Knowledge-Based Systems (2024) Vol. 303, pp. 112408-112408
Closed Access | Times Cited: 3
Multi-graph attention fusion graph neural network for remaining useful life prediction of rolling bearings
Yongchang Xiao, Lingli Cui, Dongdong Liu
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 106125-106125
Closed Access | Times Cited: 1
Yongchang Xiao, Lingli Cui, Dongdong Liu
Measurement Science and Technology (2024) Vol. 35, Iss. 10, pp. 106125-106125
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
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 RUL-Centric Data Augmentation Method for Predicting the Remaining Useful Life of Bearings
Miao He, Zhonghua Li, Fangchao Hu
Machines (2024) Vol. 12, Iss. 11, pp. 766-766
Open Access | Times Cited: 1
Miao He, Zhonghua Li, Fangchao Hu
Machines (2024) Vol. 12, Iss. 11, pp. 766-766
Open Access | Times Cited: 1
A Bearing Fault Diagnosis Method in Scenarios of Imbalanced Samples and Insufficient Labeled Samples
Xiaohan Cheng, Yuxin Lu, Zhihao Liang, et al.
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8582-8582
Open Access
Xiaohan Cheng, Yuxin Lu, Zhihao Liang, et al.
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8582-8582
Open Access
Rüzgâr Türbini Yüksek Hızlı Şaft Rulmanının Sağlık Durumu Aşamalarının Derin Öğrenme İle Sınıflandırılması
Gonca Öcalan, İbrahim Türkoğlu
Journal of Polytechnic (2024)
Open Access
Gonca Öcalan, İbrahim Türkoğlu
Journal of Polytechnic (2024)
Open 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
Raúl Llasag Rosero, Catarina Silva, Bernardete Ribeiro, et al.
Reliability Engineering & System Safety (2024), pp. 110751-110751
Open Access