Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice
Enrico Zio
Reliability Engineering & System Safety (2021) Vol. 218, pp. 108119-108119
Open Access | Times Cited: 372

Showing 26-50 of 372 citing articles:

An uncertainty-informed framework for trustworthy fault diagnosis in safety-critical applications
Taotao Zhou, Laibin Zhang, Te Han, et al.
Reliability Engineering & System Safety (2022) Vol. 229, pp. 108865-108865
Open Access | Times Cited: 41
Physics-Informed Deep Neural Network for Bearing Prognosis with Multisensory Signals
Xuefeng Chen, Meng Ma, Zhibin Zhao, et al.
Journal of Dynamics Monitoring and Diagnostics (2022), pp. 200-207
Open Access | Times Cited: 41
Remaining useful life estimation for two-phase nonlinear degradation processes
Changhua Hu, Yuanxing Xing, Dangbo Du, et al.
Reliability Engineering & System Safety (2022) Vol. 230, pp. 108945-108945
Closed Access | Times Cited: 38
Data-driven prognostics based on time-frequency analysis and symbolic recurrent neural network for fuel cells under dynamic load
Chu Wang, Manfeng Dou, Zhongliang Li, et al.
Reliability Engineering & System Safety (2023) Vol. 233, pp. 109123-109123
Open Access | Times Cited: 38
Data augmentation strategy for power inverter fault diagnosis based on wasserstein distance and auxiliary classification generative adversarial network
Quan Sun, Fei Peng, Xianghai Yu, et al.
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109360-109360
Closed Access | Times Cited: 35
Physics-informed machine learning in prognostics and health management: State of the art and challenges
Weikun Deng, Khanh T.P. Nguyen, Kamal Medjaher, et al.
Applied Mathematical Modelling (2023) Vol. 124, pp. 325-352
Open Access | Times Cited: 35
One-stage self-supervised momentum contrastive learning network for open-set cross-domain fault diagnosis
Weicheng Wang, Chao Li, Aimin Li, et al.
Knowledge-Based Systems (2023) Vol. 275, pp. 110692-110692
Closed Access | Times Cited: 34
ChatGPT-like large-scale foundation models for prognostics and health management: A survey and roadmaps
Yan‐Fu Li, Huan Wang, Muxia Sun
Reliability Engineering & System Safety (2023) Vol. 243, pp. 109850-109850
Open Access | Times Cited: 34
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
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
Geometric deep learning for online prediction of cascading failures in power grids
Anna Varbella, Blazhe Gjorgiev, Giovanni Sansavini
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109341-109341
Open Access | Times Cited: 31
A comparison study of centralized and decentralized federated learning approaches utilizing the transformer architecture for estimating remaining useful life
Sayaka Kamei, Sharareh Taghipour
Reliability Engineering & System Safety (2023) Vol. 233, pp. 109130-109130
Closed Access | Times Cited: 30
Reinforcement learning-based distant supervision relation extraction for fault diagnosis knowledge graph construction under industry 4.0
Chong Chen, Tao Wang, Yu Zheng, et al.
Advanced Engineering Informatics (2023) Vol. 55, pp. 101900-101900
Open Access | Times Cited: 30
A comprehensive survey of sparse regularization: Fundamental, state-of-the-art methodologies and applications on fault diagnosis
Qing Li
Expert Systems with Applications (2023) Vol. 229, pp. 120517-120517
Open Access | Times Cited: 30
Adaptive transfer learning for multimode process monitoring and unsupervised anomaly detection in steam turbines
Zhen Chen, Di Zhou, Enrico Zio, et al.
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109162-109162
Closed Access | Times Cited: 27
A concise self-adapting deep learning network for machine remaining useful life prediction
Sheng Xiang, Yi Qin, Jun Luo, et al.
Mechanical Systems and Signal Processing (2023) Vol. 191, pp. 110187-110187
Closed Access | Times Cited: 27
Feature-level SMOTE: Augmenting fault samples in learnable feature space for imbalanced fault diagnosis of gas turbines
Dan Liu, Shisheng Zhong, Lin Lin, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 122023-122023
Closed Access | Times Cited: 25
A contrastive learning framework enhanced by unlabeled samples for remaining useful life prediction
Ziqian Kong, Xiaohang Jin, Zhengguo Xu, et al.
Reliability Engineering & System Safety (2023) Vol. 234, pp. 109163-109163
Closed Access | Times Cited: 21
A systematic method of remaining useful life estimation based on physics-informed graph neural networks with multisensor data
Yuxuan He, Huai Su, Enrico Zio, et al.
Reliability Engineering & System Safety (2023) Vol. 237, pp. 109333-109333
Closed Access | Times Cited: 21
RUL prediction for two-phase degrading systems considering physical damage observations
Xiao Cai, Naipeng Li, Min Xie
Reliability Engineering & System Safety (2024) Vol. 244, pp. 109926-109926
Closed Access | Times Cited: 14
Prognostics and health management for predictive maintenance: A review
Chao Huang, Siqi Bu, Hiu Hung Lee, et al.
Journal of Manufacturing Systems (2024) Vol. 75, pp. 78-101
Closed Access | Times Cited: 12
A hybrid approach based on deep neural network and double exponential model for remaining useful life prediction
Junyuan Liang, Hui Liu, Ning‐Cong Xiao
Expert Systems with Applications (2024) Vol. 249, pp. 123563-123563
Closed Access | Times Cited: 11
Anomaly diagnosis of connected autonomous vehicles: A survey
Yukun Fang, Haigen Min, Xia Wu, et al.
Information Fusion (2024) Vol. 105, pp. 102223-102223
Closed Access | Times Cited: 10
Accelerated degradation testing for lifetime analysis considering random effects and the influence of stress and measurement errors
Yang Li, Haifeng Gao, Hongtian Chen, et al.
Reliability Engineering & System Safety (2024) Vol. 247, pp. 110101-110101
Closed Access | Times Cited: 10
A nonparametric degradation modeling method for remaining useful life prediction with fragment data
Naipeng Li, Mingyang Wang, Yaguo Lei, et al.
Reliability Engineering & System Safety (2024) Vol. 249, pp. 110224-110224
Closed Access | Times Cited: 10

Scroll to top