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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:

Multi-task learning boosted predictions of the remaining useful life of aero-engines under scenarios of working-condition shift
Zhiyao Zhang, Xiaohong Chen, Enrico Zio, et al.
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109350-109350
Closed Access | Times Cited: 20

Showing 20 citing articles:

Enhanced residual convolutional domain adaptation network with CBAM for RUL prediction of cross-machine rolling bearing
Xingchi Lu, Quan Jiang, Yehu Shen, et al.
Reliability Engineering & System Safety (2024) Vol. 245, pp. 109976-109976
Closed Access | Times Cited: 12
Meta-learning with deep flow kernel network for few shot cross-domain remaining useful life prediction
Jing Yang, Xiaomin Wang
Reliability Engineering & System Safety (2024) Vol. 244, pp. 109928-109928
Closed Access | Times Cited: 10
A novel adaptive deep transfer learning method towards thermal error modeling of electric spindles under variable conditions
Xiaojuan Ma, Jiewu Leng, Zhuyun Chen, et al.
Journal of Manufacturing Systems (2024) Vol. 74, pp. 112-128
Closed Access | Times Cited: 9
Few-shot remaining useful life prediction based on Bayesian meta-learning with predictive uncertainty calibration
Liang Chang, Yan‐Hui Lin
Engineering Applications of Artificial Intelligence (2025) Vol. 142, pp. 109980-109980
Closed Access
Multi-task dual-level adversarial transfer learning boosted RUL estimation of CNC milling tools
Pei Wang, Jinrui Liu, Jingshuai Qi, et al.
Knowledge-Based Systems (2025), pp. 113152-113152
Closed Access
An Innovative Foundation Model for Bearing Prognostics and Health Management Through Pre-Trained Large Language Models
Wenxuan Wang, Dan Wang
(2025)
Closed Access
Effect of Nb on the microstructure and wear resistance of In625/(Nbx+SiC0.5) composite coatings by laser cladding
Hang Wang, Meiping Wu, Xiaojin Miao, et al.
Ceramics International (2023) Vol. 49, Iss. 23, pp. 38420-38431
Closed Access | Times Cited: 13
A NON-SELECTIVE METHOD OF FORMING A DATA BANK ON THE TECHNICAL CONDITION OF THE INTERNAL COMBUSTION ENGINE FUEL SYSTEM OF TECHNOLOGICAL MACHINES IN REAL TIME
Alexey Grigoryevich Arzhenovsky, N. S. Sevryugina, Alexey Sergeevich Apatenko
Tractors and Agricultural Machinery (2025)
Open Access
A MID-1DC+LRT Multi-Task Model for SOH Assessment and RUL Prediction of Mechanical Systems
Hai Yang, Xudong Yang, Dong Sun, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1368-1368
Open Access
Leveraging working-condition-related features for enhanced cross-domain remaining useful life prediction of aircraft engines
Zhiyao Zhang, Jia Cheng, Pengpeng Chen, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 4
Closed Access
A hybrid data-driven model for in-process monitoring of peripheral milling under the variable process parameters
Li Sun, Lei Yang, Guochao Li, et al.
Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture (2025)
Closed Access
Task-orientated probabilistic damage model with interdependent degradation behaviors for RUL prediction of traction converter systems
Jing Ping Liao, Tao Peng, Yansong Xu, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110302-110302
Closed Access | Times Cited: 3
Variational encoding based on factorized temporal-channel fusion and feature fusion for interpretable remaining useful life prediction
Yaning Chen, Dongsheng Liu, Xinyi Ding, et al.
Advanced Engineering Informatics (2023) Vol. 59, pp. 102316-102316
Closed Access | Times Cited: 9
Self-supervised domain adaptation for machinery remaining useful life prediction
Quy Le Xuan, Marco Munderloh, Jörn Östermann
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110296-110296
Open Access | Times Cited: 2
A Novel Remaining Useful Life Prediction Approach Combined eXtreme Gradient Boosting and Multi-Quantile Recurrent Neural Network
Yantao Yin, Jianyin Zhao, Xiao Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 44648-44658
Open Access | Times Cited: 1
A novel data augmentation strategy for aeroengine multitask prognosis based on degradation behavior extrapolation and diversity-usability trade-off
Xiao Yan Li, De Jun Cheng, Xi Feng Fang, et al.
Reliability Engineering & System Safety (2024) Vol. 249, pp. 110238-110238
Closed Access | Times Cited: 1
Novel Prognostic Methodology of Bootstrap Forest and Hyperbolic Tangent Boosted Neural Network for Aircraft System
Shuai Fu, Nicolas P. Avdelidis
Applied Sciences (2024) Vol. 14, Iss. 12, pp. 5057-5057
Open Access | Times Cited: 1
Aviation fuel pump health state assessment based on evidential reasoning and random forests
Bangcheng Zhang, Dianxin Chen, Wei Su, et al.
Electronics Letters (2024) Vol. 60, Iss. 9
Open Access
FPCA-SETCN: A Novel Deep Learning Framework for Remaining Useful Life Prediction
Junde Chen, Yuxin Wen, Xuxue Sun, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 19, pp. 30736-30748
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
Few-shot remaining useful life prognostics through auxiliary training with related dataset
Alaaeddine Chaoub, Alexandre Voisin, Christophe Cerisara, et al.
Neural Computing and Applications (2024)
Closed Access
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