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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:

A robust model selection framework for fault detection and system health monitoring with limited failure examples: Heterogeneous data fusion and formal sensitivity bounds
Roberto Rocchetta, Qi Gao, Dimitrios Mavroeidis, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 114, pp. 105140-105140
Open Access | Times Cited: 13

Showing 13 citing articles:

Self-Supervised Learning for data scarcity in a fatigue damage prognostic problem
Anass Akrim, Christian Gogu, Rob Vingerhoeds, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105837-105837
Open Access | Times Cited: 24
Unlocking maintenance insights in industrial text through semantic search
Syed Meesam Raza Naqvi, Mohammad Ghufran, Christophe Varnier, et al.
Computers in Industry (2024) Vol. 157-158, pp. 104083-104083
Closed Access | Times Cited: 7
Time consideration in machine learning models for train comfort prediction using LSTM networks
Pablo Garrido Martínez–Llop, Juan de Dios Sanz Bobi, Manuel Olmedo Ortega
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106303-106303
Open Access | Times Cited: 13
Quantitative recommendation of fault diagnosis algorithms based on multi-order random graph convolution under case-learning paradigm
Chen Lü, Xinyu Zou, Lulu Sun, et al.
Advanced Engineering Informatics (2025) Vol. 64, pp. 103108-103108
Closed Access
Monitoring industrial control systems via spatio-temporal graph neural networks
Yue Wang, Hao Peng, Gang Wang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106144-106144
Closed Access | Times Cited: 10
Knowledge-informed FIR-based cross-category filtering framework for interpretable machinery fault diagnosis under small samples
Rui Liu, Xiaoxi Ding, Shenglan Liu, et al.
Reliability Engineering & System Safety (2024), pp. 110610-110610
Closed Access | Times Cited: 3
Joint state and fault estimation for nonlinear systems with missing measurements and random component faults under Round-Robin Protocol
Xiaoke Song, Lihong Rong, Beiyuan Li, et al.
International Journal of Electrical Power & Energy Systems (2023) Vol. 154, pp. 109437-109437
Open Access | Times Cited: 4
An Unsupervised Machine Learning Approach for Monitoring Data Fusion and Health Indicator Construction
Lin Huang, Xin Pan, Yajie Liu, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7239-7239
Open Access | Times Cited: 3
An Unsupervised Machine Learning Approach for Monitoring Data Fusion and Health Indicator Construction
Lin Huang, Xin Pan, Yajie Liu, et al.
(2023)
Open Access | Times Cited: 2
A rolling bearing fault diagnosis method based on a new data fusion mechanism and improved CNN
Tianzhuang Yu, Zhaohui Ren, Yongchao Zhang, et al.
Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability (2023) Vol. 238, Iss. 6, pp. 1156-1169
Closed Access | Times Cited: 2
Data-driven drift detection and diagnosis framework for predictive maintenance of heterogeneous production processes: Application to a multiple tapping process
Julien Chapelin, Alexandre Voisin, Bertrand Rose, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109552-109552
Open Access
An efficient optimal hybrid SVELM based monitoring and forecasting the engine operations for safety standards
S. Nandhini, S. Parthasarathy, S. Saravanan
Expert Systems with Applications (2023) Vol. 238, pp. 121679-121679
Closed Access | Times Cited: 1
An Information Fusion Based Incipient Fault Diagnosis Method for Railway Vehicle Door System
Keyi Zhou, Ningyun Lu, Bin Jiang, et al.
IEEE Transactions on Intelligent Vehicles (2023) Vol. 9, Iss. 1, pp. 1320-1332
Closed Access | Times Cited: 1
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