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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:

Variational encoding approach for interpretable assessment of remaining useful life estimation
Nahuel Costa, Luciano Sánchez
Reliability Engineering & System Safety (2022) Vol. 222, pp. 108353-108353
Open Access | Times Cited: 79

Showing 1-25 of 79 citing articles:

A variational local weighted deep sub-domain adaptation network for remaining useful life prediction facing cross-domain condition
Jiusi Zhang, Xiang Li, Jilun Tian, et al.
Reliability Engineering & System Safety (2022) Vol. 231, pp. 108986-108986
Closed Access | Times Cited: 111
Bayesian deep-learning for RUL prediction: An active learning perspective
Rong Zhu, Yuan Chen, Weiwen Peng, et al.
Reliability Engineering & System Safety (2022) Vol. 228, pp. 108758-108758
Closed Access | Times Cited: 84
A Parallel Hybrid Neural Network With Integration of Spatial and Temporal Features for Remaining Useful Life Prediction in Prognostics
Jiusi Zhang, Jilun Tian, Minglei Li, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-12
Closed Access | Times Cited: 78
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
Explainable Predictive Maintenance: A Survey of Current Methods, Challenges and Opportunities
Logan Cummins, Alexander Sommers, Somayeh Bakhtiari Ramezani, et al.
IEEE Access (2024) Vol. 12, pp. 57574-57602
Open Access | Times Cited: 15
Transformer-based hierarchical latent space VAE for interpretable remaining useful life prediction
Tao Jing, Pai Zheng, Liqiao Xia, et al.
Advanced Engineering Informatics (2022) Vol. 54, pp. 101781-101781
Closed Access | Times Cited: 44
Automatic multi-differential deep learning and its application to machine remaining useful life prediction
Sheng Xiang, Yi Qin, Fuqiang Liu, et al.
Reliability Engineering & System Safety (2022) Vol. 223, pp. 108531-108531
Closed Access | Times Cited: 41
Multitask learning of health state assessment and remaining useful life prediction for sensor-equipped machines
Jianhai Yan, Zhen He, Shuguang He
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109141-109141
Closed Access | Times Cited: 34
An Overview of the State of the Art in Aircraft Prognostic and Health Management Strategies
Mojtaba Kordestani, Marcos E. Orchard, K. Khorasani, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-15
Closed Access | Times Cited: 33
Adaptive deep learning-based remaining useful life prediction framework for systems with multiple failure patterns
Jiawei Xiong, Jian Zhou, Yizhong Ma, et al.
Reliability Engineering & System Safety (2023) Vol. 235, pp. 109244-109244
Closed 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
Attention-based Gate Recurrent Unit for remaining useful life prediction in prognostics
Ruiguan Lin, Huawei Wang, Minglan Xiong, et al.
Applied Soft Computing (2023) Vol. 143, pp. 110419-110419
Closed Access | Times Cited: 24
Single gated RNN with differential weighted information storage mechanism and its application to machine RUL prediction
Sheng Xiang, Penghua Li, Huang Yi, et al.
Reliability Engineering & System Safety (2023) Vol. 242, pp. 109741-109741
Closed Access | Times Cited: 23
PAOLTransformer: Pruning-adaptive optimal lightweight Transformer model for aero-engine remaining useful life prediction
Xin Zhang, Jiankai Sun, Jiaxu Wang, et al.
Reliability Engineering & System Safety (2023) Vol. 240, pp. 109605-109605
Closed Access | Times Cited: 22
Contrastive BiLSTM-enabled Health Representation Learning for Remaining Useful Life Prediction
Qixiang Zhu, Zheng Zhou, Yasong Li, et al.
Reliability Engineering & System Safety (2024) Vol. 249, pp. 110210-110210
Closed Access | Times Cited: 11
Data-driven method embedded physical knowledge for entire lifecycle degradation monitoring in aircraft engines
Dasheng Xiao, Zhifu Lin, Aiyang Yu, et al.
Reliability Engineering & System Safety (2024) Vol. 247, pp. 110100-110100
Closed Access | Times Cited: 10
A dual path hybrid neural network framework for remaining useful life prediction of aero‐engine
Xinhua Lu, Haobo Pan, Lingxiao Zhang, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 4, pp. 1795-1810
Closed Access | Times Cited: 7
An unsupervised structural health monitoring framework based on Variational Autoencoders and Hidden Markov Models
Eduardo Moraes Coraça, Janito Vaqueiro Ferreira, Eurípedes Guilherme de Oliveira Nóbrega
Reliability Engineering & System Safety (2022) Vol. 231, pp. 109025-109025
Closed Access | Times Cited: 29
Research of artificial intelligence operations for wind turbines considering anomaly detection, root cause analysis, and incremental training
Chen Zhang, Di Hu, Tao Yang
Reliability Engineering & System Safety (2023) Vol. 241, pp. 109634-109634
Closed Access | Times Cited: 19
Attention-augmented recalibrated and compensatory network for machine remaining useful life prediction
Zhifu Huang, Yang Yang, Yawei Hu, et al.
Reliability Engineering & System Safety (2023) Vol. 235, pp. 109247-109247
Closed Access | Times Cited: 17
A Bayesian adversarial probsparse Transformer model for long-term remaining useful life prediction
Yongbo Cheng, Junheng Qv, Ke Feng, et al.
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110188-110188
Closed Access | Times Cited: 7
High-fidelity multiphysics model of a permanent magnet synchronous motor for fault data generation
Hyunseung Lee, Seho Son, Dayeon Jeong, et al.
Journal of Sound and Vibration (2024) Vol. 589, pp. 118573-118573
Closed Access | Times Cited: 5
Digital twin model of a permanent magnet synchronous motor via a multiphysics-informed deep operator network
Seho Son, Hyunseung Lee, Dayeon Jeong, et al.
Mechanical Systems and Signal Processing (2025) Vol. 229, pp. 112561-112561
Closed Access
State-space recurrent neural networks for predictive analytics and latent state estimation
Ramin Moghaddass, Cheng-Bang Chen
Applied Soft Computing (2025), pp. 113017-113017
Closed Access
Intelligent Fault Diagnosis of an Aircraft Fuel System Using Machine Learning—A Literature Review
Jiajin Li, Stephen P. King, Ian Jennions
Machines (2023) Vol. 11, Iss. 4, pp. 481-481
Open Access | Times Cited: 15
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