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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:

Channel attention & temporal attention based temporal convolutional network: A dual attention framework for remaining useful life prediction of the aircraft engines
Lin Lin, Jin‐Lei Wu, Song Fu, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102372-102372
Closed Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

An aircraft engine remaining useful life prediction method based on predictive vector angle minimization and feature fusion gate improved transformer model
Zhihao Zhou, Zhenhua Long, Rui-Dong Wang, et al.
Journal of Manufacturing Systems (2024) Vol. 76, pp. 567-584
Closed Access | Times Cited: 8
FD-LLM: Large language model for fault diagnosis of complex equipment
Lin Lin, Sihao Zhang, Fu Song, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103208-103208
Closed Access | Times Cited: 1
Towards unified aleatory and epistemic uncertainty quantification for machinery health prognostic through sequential heteroscedastic Gaussian process regression
Tao Liang, Fuli Wang, Shu Wang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102719-102719
Closed Access | Times Cited: 5
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: 5
Prediction of Remaining Useful Life of Aero-engines Based on CNN-LSTM-Attention
Sizhe Deng, Jian Zhou
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 4
A self-supervised masked spatial distribution learning method for predicting machinery remaining useful life with missing data reconstruction
Ben Niu, Yi Xiao, Qinge Xiao, et al.
Advanced Engineering Informatics (2025) Vol. 64, pp. 102938-102938
Closed Access
Multi-stage degradation feature with dynamic feedback mechanism for remaining useful life prediction
Chaoge Wang, Jiechen Sun, Xiangyi Meng, et al.
Nondestructive Testing And Evaluation (2025), pp. 1-34
Closed Access
Helicopter Turboshaft Engines’ Neural Network System for Monitoring Sensor Failures
Serhii Vladov, Łukasz Ścisło, Nina Szczepanik-Ścisło, et al.
Sensors (2025) Vol. 25, Iss. 4, pp. 990-990
Open Access
Remaining useful life prediction based on graph feature attention networks with missing multi-sensor features
Yu Wang, Shangjing Peng, Wang Hong, et al.
Reliability Engineering & System Safety (2025), pp. 110902-110902
Closed Access
A dual-path architecture based on time series decomposition and degradation correction for remaining useful life prediction of aero-engine
Chenchen Wu, Jialong He, Liang Wang, et al.
Computers & Industrial Engineering (2025), pp. 110964-110964
Closed Access
Information guided attention network for bearing remaining useful life prediction adaptive to working conditions and fault modes
Lei Wang, Hongrui Cao, Xuefeng Chen
Engineering Applications of Artificial Intelligence (2025) Vol. 147, pp. 110197-110197
Closed Access
Predicting the performance status of aero-engines using a spatio-temporal decoupled digital twin modeling method
Dasheng Xiao, S. Song, Hong Xiao, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103218-103218
Closed Access
Cross-domain remaining useful life prediction for rolling bearings based on wavelet decomposition and dynamic calibrated domain adaptive networks
Yazhou Zhang, Xiaoqiang Zhao, Zhenrui Peng, et al.
Measurement (2025), pp. 117278-117278
Closed Access
A nonlinear dynamic ensemble remaining useful life prediction method considering multi-source data uncertainty
Pengwei Jiang, Weibo Ren, Zhongxin Chen, et al.
Mechanical Systems and Signal Processing (2025) Vol. 230, pp. 112607-112607
Closed Access
A new perspective on non-ferrous metal price forecasting: An interpretable two-stage ensemble learning-based interval-valued forecasting system
Wendong Yang, Hao Zhang, Jianzhou Wang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103267-103267
Closed Access
Novel formulations and metaheuristic algorithms for predictive maintenance of aircraft engines with remaining useful life prediction
Lubing Wang, Xufeng Zhao, Hoang Giang Pham
Reliability Engineering & System Safety (2025), pp. 111064-111064
Closed Access
Leveraging large self-supervised time-series models for transferable diagnosis in cross-aircraft type Bleed Air System
Yilin Wang, Pingchong Lei, Xuyang Wang, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103275-103275
Closed Access
Operating condition feature representation-based Fourier graph network for civil aircraft state estimation
Hao Liu, Youchao Sun, Xiaoyu Wang, et al.
Reliability Engineering & System Safety (2025), pp. 111085-111085
Closed Access
A dual path neural network based on spatial correlation and feature weighting for predicting remaining useful life of aero-engine
Mi Zhou, Wanlin Liu, Bayi Cheng
Engineering Applications of Artificial Intelligence (2025) Vol. 151, pp. 110700-110700
Closed Access
Attention-Based Multi-Modal Learning for Aircraft Engine Fan Fault Diagnosis
Jingjing Zhu, Shaosen Liang, Zhaokai Ma, et al.
Aerospace Science and Technology (2025), pp. 110194-110194
Closed Access
A Soft Actor-Critic Reinforcement Learning-Based Method for Remaining Useful Life Prediction
Shi‐Jin Ding, Lei Meng, Jie Shang, et al.
Reliability Engineering & System Safety (2025), pp. 111121-111121
Closed Access
Multichannel Attention-Based TCN-GRU Network for Remaining Useful Life Prediction of Aero-Engines
Jiabao Zou, Ping Lin
Energies (2025) Vol. 18, Iss. 8, pp. 1899-1899
Open Access
A dynamic spatio-temporal graph neural network with global and local perception for remaining useful life prediction
Qiang Zhang, Jun Liu, Kaixuan Xie, et al.
Expert Systems with Applications (2025), pp. 127707-127707
Closed Access
An adaptive multi-scale spatial-temporal graph attention ensemble network with physical guidance for remaining useful life prediction of multi-sensor equipment
Liang Zhou, Huawei Wang, Shanshan Xu
Reliability Engineering & System Safety (2025), pp. 111152-111152
Closed Access
A degradation modeling method based on artificial neural network supported Tweedie exponential dispersion process
Zhongze He, Shaoping Wang, Di Liu
Advanced Engineering Informatics (2025) Vol. 65, pp. 103376-103376
Closed Access
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