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:

Fusing logic rule-based hybrid variable graph neural network approaches to fault diagnosis of industrial processes
Yin Min, Jince Li, Yilin Shi, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121753-121753
Closed Access | Times Cited: 13

Showing 13 citing articles:

A pruned-optimized weighted graph convolutional network for axial flow pump fault diagnosis with hydrophone signals
Xin Zhang, Li Jiang, Lei Wang, et al.
Advanced Engineering Informatics (2024) Vol. 60, pp. 102365-102365
Closed Access | Times Cited: 18

A roadmap to fault diagnosis of industrial machines via machine learning: A brief review
Govind Vashishtha, Sumika Chauhan, Mert Sehri, et al.
Measurement (2024) Vol. 242, pp. 116216-116216
Closed Access | Times Cited: 10

AdaMetaSRE: An adaptive meta semi-supervised relation extraction model for aircraft fault maintenance
Xiangzhen Meng, Xiaopeng Jiao, Jiahui Li, et al.
Expert Systems with Applications (2025), pp. 126520-126520
Closed Access

Fault Diagnosis in Chemical Reactors with Data-Driven Methods
Pu Du, Nabil Abdel Jabbar, Benjamin A. Wilhite, et al.
Industrial & Engineering Chemistry Research (2025)
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

A novel interpretable semi-supervised graph learning model for intelligent fault diagnosis of hydraulic pumps
Ying Li, Lijie Zhang, Siyuan Liu, et al.
Knowledge-Based Systems (2024) Vol. 305, pp. 112598-112598
Closed Access | Times Cited: 2

Novel approach for industrial process anomaly detection based on process mining
Yilin Shi, Ning Zhang, Xiaolu Song, et al.
Journal of Process Control (2024) Vol. 136, pp. 103165-103165
Closed Access | Times Cited: 1

Sample-evaluation-enhanced machine learning approach for fault diagnosis of hybrid systems
Youqing Wang, Yin Min, Hui Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-13
Closed Access | Times Cited: 1

An adaptive imbalance robust graph embedding broad learning system fault diagnosis for imbalanced batch processes data
Kai Liu, Xiaoqiang Zhao, Yongyong Hui
Process Safety and Environmental Protection (2024)
Closed Access | Times Cited: 1

Erosion Depth Prediction of Chloride Ions Under Stray Current Using FEM Based CNNs
Yu Li, Yishuang Zhang, Gang Liu, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 085602-085602
Open Access

SCML-GNN: A Graph Neural Network Model Leveraging Sensor Causality and Meta-Learning for Mechanical Fault Classification
Ziyi Xiao, Yueyang Wang, Gang Tan, et al.
International Journal of Pattern Recognition and Artificial Intelligence (2024) Vol. 38, Iss. 15
Closed Access

Casual Inference-Enabled Graph Neural Networks for Generalized Fault Diagnosis in Industrial IoT System
Zhao Zhang, Qi Li, Shenbo Liu, et al.
Information Sciences (2024), pp. 121719-121719
Closed Access

Hierarchical spiking neural network auditory feature based dry-type transformer fault diagnosis using convolutional neural network
Hangyu Zhao, Yong Yang, Houguang Liu, et al.
Measurement Science and Technology (2023) Vol. 35, Iss. 3, pp. 036104-036104
Closed Access | Times Cited: 1

Interpretable Fault Diagnosis for Industrial Processes Based on Multi-Task Meta-Feature Learning
Min Yin, Xin Ma, Yunqi Liu, et al.
(2023), pp. 549-553
Closed Access

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