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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:

Uncertainty-aware deep learning for reliable health monitoring in safety-critical energy systems
Yuantao Yao, Te Han, Jie Yu, et al.
Energy (2024) Vol. 291, pp. 130419-130419
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Unlocking the black box: an in-depth review on interpretability, explainability, and reliability in deep learning
Emrullah Şahin, Naciye Nur Arslan, Durmuş Özdemir
Neural Computing and Applications (2024)
Closed Access | Times Cited: 10
Unsupervised Bayesian change-point detection approach for reliable prognostics and health management of complex mechanical systems
Rui Wu, Chao Liu, Dongxiang Jiang
Reliability Engineering & System Safety (2024) Vol. 245, pp. 110037-110037
Closed Access | Times Cited: 9
MNHP-GAE: A Novel Manipulator Intelligent Health State Diagnosis Method in Highly Imbalanced Scenarios
Bo Zhao, Qiqiang Wu, Ke Zhao, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 24073-24082
Closed Access | Times Cited: 9
Time series modeling and forecasting with feature decomposition and interaction for prognostics and health management in nuclear power plant
Hai-Bo Yu, Ling Chang, Minghan Yang, et al.
Energy (2025), pp. 135784-135784
Closed Access | Times Cited: 1
Source-free domain adaptation for transferable remaining useful life prediction of machine considering source data absence
Yudong Cao, Jichao Zhuang, Qiuhua Miao, et al.
Reliability Engineering & System Safety (2024) Vol. 246, pp. 110079-110079
Closed Access | Times Cited: 6
A novel meta-transfer learning approach via convolutional multi-head self-attention network for few-shot fault diagnosis
Lanjun Wan, Le Huang, Jiaen Ning, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 112113-112113
Closed Access | Times Cited: 6
Trustworthy Bayesian Deep Learning Framework for Uncertainty Quantification and Confidence Calibration: Application in Machinery Fault Diagnosis
Hao Li, Jinyang Jiao, Zongyang Liu, et al.
Reliability Engineering & System Safety (2024) Vol. 255, pp. 110657-110657
Closed Access | Times Cited: 4
Robust Clustering and Anomaly Detection of User Electricity Consumption Behavior Based on Correntropy
Teng Zhang, Xusheng Qian, Yu Zhou, et al.
IET Generation Transmission & Distribution (2025) Vol. 19, Iss. 1
Open Access
Dynamic fusion LSTM-Transformer for prediction in energy harvesting from human motions
Ying Gong, Yongzheng Wang, Yijin Xie, et al.
Energy (2025), pp. 136192-136192
Closed Access
Intelligent multi-severity nuclear accident identification under transferable operation conditions
Song Xu, Yuantao Yao, Nuo Yong, et al.
Annals of Nuclear Energy (2024) Vol. 201, pp. 110416-110416
Closed Access | Times Cited: 3
Stochastic Embedding Domain Generalization Network for Rotating Machinery Fault Diagnosis under Unseen Operating Conditions
Zuqiang Su, Weilong Jiang, Zhue Xiong, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 11, pp. 17846-17855
Closed Access | Times Cited: 3
BAKER: Bayesian Kernel Uncertainty in Domain-Specific Document Modelling
Ubaid Azam, Imran Razzak, Shelly Vishwakarma, et al.
(2025), pp. 382-391
Closed Access
A Particle Swarm Optimization-Based Ensemble Broad Learning System for Intelligent Fault Diagnosis in Safety-Critical Energy Systems with High-Dimensional Small Samples
Jiasheng Yan, Yang Sui, Tao Dai
Mathematics (2025) Vol. 13, Iss. 5, pp. 797-797
Open Access
Adaptive signal regime for identifying transient shifts: A novel approach toward fault diagnosis in wind turbine systems
Peng Chen, Y. Wu, Shuai Fan, et al.
Ocean Engineering (2025) Vol. 325, pp. 120798-120798
Closed Access
Multi‐Channel Deep Pulse‐Coupled Net: A Novel Bearing Fault Diagnosis Framework
Yanxi Wu, Yalin Yang, Zhuoran Yang, et al.
IET Image Processing (2025) Vol. 19, Iss. 1
Open Access
Towards trustworthy civil aviation hazards identification: An uncertainty-aware deep learning framework
Zhaoguo Hou, Huawei Wang, Minglan Xiong, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103280-103280
Closed Access
Nuclear Power Systems Unsupervised Anomaly Localization Considering Spatiotemporal Information and Influence Mechanism between Devices
Haotong Wang, Jianxin Shi, Chaojing Lin, et al.
Energy (2025), pp. 136204-136204
Closed Access
Unsupervised clustering research of nuclear power plants under unlabeled unknown fault diagnosis scenario
Shiqi Zhou, Meng Lin, He Zhang, et al.
Energy (2025) Vol. 326, pp. 136357-136357
Closed Access
Advancing non-destructive weld assessment using autoencoder-based feature extraction
Taha Etem
Nondestructive Testing And Evaluation (2025), pp. 1-21
Closed Access
Deep learning with local spatiotemporal structure preserving for soft sensor development of complex industrial processes
Xiao Wang, Xiaomei Qi, Yong Zhang
Applied Soft Computing (2024) Vol. 164, pp. 111974-111974
Closed Access | Times Cited: 3
Adaptive Attention-Driven Few-Shot Learning for Robust Fault Diagnosis
Zhe Wang, Yi Ding, Te Han, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 16, pp. 26034-26043
Closed Access | Times Cited: 3
Online Knowledge Distillation for Machine Health Prognosis Considering Edge Deployment
Yudong Cao, Qing Ni, Minping Jia, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 16, pp. 27828-27839
Closed Access | Times Cited: 2
Enhancing resilience in complex energy systems through real-time anomaly detection: a systematic literature review
Ali Aghazadeh Ardebili, Oussama Hasidi, Ahmed Bendaouia, et al.
Energy Informatics (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 2
Challenges for AI in Healthcare Systems
Markus Bertl, Yngve Lamo, Martin Leucker, et al.
Lecture notes in computer science (2024), pp. 165-186
Open Access | Times Cited: 2
A novel dynamic machine learning-based eXplainable fusion monitoring: Application to industrial and chemical processes
Husnain Ali, Rizwan Safdar, Yuanqiang Zhou, et al.
Machine Learning Science and Technology (2024) Vol. 6, Iss. 1, pp. 015005-015005
Open Access | Times Cited: 2
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