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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:

Aircraft Engine Run-to-Failure Dataset under Real Flight Conditions for Prognostics and Diagnostics
Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, et al.
Data (2021) Vol. 6, Iss. 1, pp. 5-5
Open Access | Times Cited: 177

Showing 1-25 of 177 citing articles:

Fusing physics-based and deep learning models for prognostics
Manuel Arias Chao, Chetan S. Kulkarni, Kai Goebel, et al.
Reliability Engineering & System Safety (2021) Vol. 217, pp. 107961-107961
Open Access | Times Cited: 246
Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial
Venkat Pavan Nemani, Luca Biggio, Xun Huan, et al.
Mechanical Systems and Signal Processing (2023) Vol. 205, pp. 110796-110796
Open Access | Times Cited: 75
A survey of transfer learning for machinery diagnostics and prognostics
Siya Yao, Qi Kang, MengChu Zhou, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 4, pp. 2871-2922
Closed Access | Times Cited: 74
Spatial correlation and temporal attention-based LSTM for remaining useful life prediction of turbofan engine
Huixin Tian, Linzheng Yang, Bingtian Ju
Measurement (2023) Vol. 214, pp. 112816-112816
Closed Access | Times Cited: 61
Aero-engine remaining useful life prediction method with self-adaptive multimodal data fusion and cluster-ensemble transfer regression
Jiaxian Chen, Dongpeng Li, Ruyi Huang, et al.
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109151-109151
Closed Access | Times Cited: 53
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: 35
PHMD: An easy data access tool for prognosis and health management datasets
David Solís-Martín, Juan Galán-Páez, Joaquín Borrego‐Díaz
SoftwareX (2025) Vol. 29, pp. 102039-102039
Closed Access | Times Cited: 1
A hierarchical scheme for remaining useful life prediction with long short-term memory networks
Tao Song, Chao Liu, Rui Wu, et al.
Neurocomputing (2022) Vol. 487, pp. 22-33
Closed Access | Times Cited: 62
Developing health indicators and RUL prognostics for systems with few failure instances and varying operating conditions using a LSTM autoencoder
Ingeborg de Pater, Mihaela Mitici
Engineering Applications of Artificial Intelligence (2022) Vol. 117, pp. 105582-105582
Open Access | Times Cited: 60
Controlled physics-informed data generation for deep learning-based remaining useful life prediction under unseen operation conditions
Jiawei Xiong, Olga Fink, Jian Zhou, et al.
Mechanical Systems and Signal Processing (2023) Vol. 197, pp. 110359-110359
Open Access | Times Cited: 32
Continual learning for predictive maintenance: Overview and challenges
Julio Hurtado, Dario Salvati, Rudy Semola, et al.
Intelligent Systems with Applications (2023) Vol. 19, pp. 200251-200251
Open Access | Times Cited: 32
Bayesian gated-transformer model for risk-aware prediction of aero-engine remaining useful life
Feifan Xiang, Yiming Zhang, Shuyou Zhang, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121859-121859
Closed Access | Times Cited: 29
Aero-engine prognosis strategy based on multi-scale feature fusion and multi-task parallel learning
Liang Zhou, Huawei Wang, Shanshan Xu
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109182-109182
Closed Access | Times Cited: 27
DLformer: A Dynamic Length Transformer-Based Network for Efficient Feature Representation in Remaining Useful Life Prediction
Lei Ren, Haiteng Wang, Gao Huang
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 5, pp. 5942-5952
Closed Access | Times Cited: 24
Domain adaptation via alignment of operation profile for Remaining Useful Lifetime prediction
Ismail Nejjar, Fabian Geissmann, Mengjie Zhao, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109718-109718
Open Access | Times Cited: 22
Digital twins for aircraft maintenance and operation: A systematic literature review and an IoT-enabled modular architecture
Giovanni Marco Bisanti, Luca Mainetti, Teodoro Montanaro, et al.
Internet of Things (2023) Vol. 24, pp. 100991-100991
Open Access | Times Cited: 22
Least squares smoothed k-nearest neighbors online prediction of the remaining useful life of a NASA turbofan
Luca Viale, Alessandro Paolo Daga, Alessandro Fasana, et al.
Mechanical Systems and Signal Processing (2023) Vol. 190, pp. 110154-110154
Closed Access | Times Cited: 21
Enhancing non-stationary feature learning for remaining useful life prediction of aero-engine under multiple operating conditions
Hao Liu, Youchao Sun, Wenhao Ding, et al.
Measurement (2024) Vol. 227, pp. 114242-114242
Closed Access | Times Cited: 8
Label synchronization for Hybrid Federated Learning in manufacturing and predictive maintenance
Raúl Llasag Rosero, Catarina Silva, Bernardete Ribeiro, et al.
Journal of Intelligent Manufacturing (2024)
Open Access | Times Cited: 8
State-of-the-art review and synthesis: A requirement-based roadmap for standardized predictive maintenance automation using digital twin technologies
Sizhe Ma, Katherine A. Flanigan, Mario Bergés
Advanced Engineering Informatics (2024) Vol. 62, pp. 102800-102800
Open Access | Times Cited: 8
Joint learning strategy of multi-scale multi-task convolutional neural network for aero-engine prognosis
Liang Zhou, Huawei Wang, Shanshan Xu
Applied Soft Computing (2024) Vol. 160, pp. 111726-111726
Closed Access | Times Cited: 7
Addressing Class-Imbalanced Learning in Real-Time Aero-Engine Gas-Path Fault Diagnosis via Feature Filtering and Mapping
Zengbu Liao, Keyi Zhan, Hang Zhao, et al.
Reliability Engineering & System Safety (2024) Vol. 249, pp. 110189-110189
Closed Access | Times Cited: 7
Real-time model calibration with deep reinforcement learning
Yuan Tian, Manuel Arias Chao, Chetan S. Kulkarni, et al.
Mechanical Systems and Signal Processing (2021) Vol. 165, pp. 108284-108284
Open Access | Times Cited: 40
Domain Adaptive Remaining Useful Life Prediction With Transformer
Xinyao Li, Jingjing Li, Lin Zuo, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-13
Closed Access | Times Cited: 28
Deep learning framework for gas turbine performance digital twin and degradation prognostics from airline operator perspective
Jianzhong Sun, Zichen Yan, Han Ying, et al.
Reliability Engineering & System Safety (2023) Vol. 238, pp. 109404-109404
Closed Access | Times Cited: 20
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