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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:

Diagnosis of brake friction faults in high-speed trains based on 1DCNN and GraphSAGE under data imbalance
Min Zhang, Xianjun Li, Zaiyu Xiang, et al.
Measurement (2022) Vol. 207, pp. 112378-112378
Closed Access | Times Cited: 12

Showing 12 citing articles:

Multi-scale neighborhood query graph convolutional network for multi-defect location in CFRP laminates
Bo Yang, Wenlong Xu, Fengyang Bi, et al.
Computers in Industry (2023) Vol. 153, pp. 104015-104015
Closed Access | Times Cited: 16
Spatial-temporal graph feature learning driven by time–frequency similarity assessment for robust fault diagnosis of rotating machinery
Lei Wang, Fuchen Xie, Xin Zhang, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102711-102711
Closed Access | Times Cited: 6
A cross-domain state monitoring method for high-speed train brake pads based on data generation under small sample conditions
Min Zhang, Ruohui Hu, Jiliang Mo, et al.
Measurement (2024) Vol. 226, pp. 114074-114074
Closed Access | Times Cited: 5
Brake Fault Diagnosis Using a Voting Ensemble of Machine Learning Classifiers
Sivagurunathan Viswanathan, Naveen Venkatesh Sridharan, R. Jegadeeshwaran, et al.
Results in Engineering (2024) Vol. 23, pp. 102857-102857
Open Access | Times Cited: 5
Mapping of friction, wear and particle emissions from high-speed train brakes
Yezhe Lyu, Qixiang Zhang, Leonie Tanzeglock, et al.
Wear (2025), pp. 206027-206027
Open Access
Graph-Guided Higher-Order Attention Network for Industrial Rotating Machinery Intelligent Fault Diagnosis
Yilixiati Abudurexiti, Guangjie Han, Li Liu, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 20, Iss. 2, pp. 1113-1123
Closed Access | Times Cited: 9
Unsupervised Transfer Learning Method via Cycle-Flow Adversarial Networks for Transient Fault Detection under Various Operation Conditions
Xiaoyue Yang, Long Chen, Qidong Feng, et al.
Sensors (2024) Vol. 24, Iss. 15, pp. 4839-4839
Open Access | Times Cited: 1
GraphSAGE with contrastive encoder for efficient fault diagnosis in industrial IoT systems
Joonho Seon, Seongwoo Lee, Young Ghyu Sun, et al.
ICT Express (2023) Vol. 9, Iss. 6, pp. 1226-1232
Open Access | Times Cited: 2
Air Brake System Fault Diagnosis Method Based on Optimized SVM
Xiang Peng, Xiaoping Ma, Xiyuan Chen, et al.
Lecture notes in electrical engineering (2024), pp. 458-467
Closed Access
Application of the selected multicriterial programming method in the management of rail vehicle bogies in order to extend the servicle life of brake discs
Armando Miguel Rilo Cañás, Agnieszka Bartkowiak, Wojciech Sawczuk
Diagnostyka (2024) Vol. 25, Iss. 3, pp. 1-9
Open Access
Damage identification for UAV composite propeller blades based on transmissibility probabilistic distance and attention bidirectional temporal convolutional network
Ran Gu, Shufeng Zhang, Jialing Zhu, et al.
Measurement (2024), pp. 115751-115751
Closed Access
Dynamic graph neural network-based computational paradigm for video summarization
R Deepa, T. Sree Sharmila, R. Niruban
Multimedia Tools and Applications (2023) Vol. 83, Iss. 17, pp. 51227-51250
Closed Access | Times Cited: 1
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