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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:

Research on diagnosis algorithm of mechanical equipment brake friction fault based on MCNN-SVM
Xunjie Zhang, Min Zhang, Zaiyu Xiang, et al.
Measurement (2021) Vol. 186, pp. 110065-110065
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

A Novel Fault Diagnosis Method of Rolling Bearing Based on Integrated Vision Transformer Model
Xinyu Tang, Zengbing Xu, Zhigang Wang
Sensors (2022) Vol. 22, Iss. 10, pp. 3878-3878
Open Access | Times Cited: 53
Brake uneven wear of high-speed train intelligent monitoring using an ensemble model based on multi-sensor feature fusion and deep learning
Min Zhang, Xunjie Zhang, Jiliang Mo, et al.
Engineering Failure Analysis (2022) Vol. 137, pp. 106219-106219
Closed Access | Times Cited: 27
Health state assessment method for complex system based on multiexpert joint belief rule base
Shaohong Li, Mingyuan Liu, Ning Ma, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
An Intelligent Onboard Condition Monitoring Method of Wheelset Bearings under Time-varying Speed
Xia He, Jianming Ding, Tianyu Shi, et al.
IEEE Transactions on Instrumentation and Measurement (2025) Vol. 74, pp. 1-15
Closed Access
Interpretable hierarchical belief rule base expert system for complex system modeling
You Cao, Shuaiwen Tang, Ruiqiao Yao, et al.
Measurement (2023) Vol. 226, pp. 114033-114033
Closed Access | Times Cited: 15
Monitoring the deterioration state of braking friction performance of high-speed train under imbalanced data
Min Zhang, Wenxin Xu, Jiliang Mo, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 109939-109939
Closed Access
Research on a Modified Hybrid-Driven Fault Diagnosis Approach for Vfdr Sensor Faults
Meng Tang, Zongyu Zhang, Xiaohu Zhu, et al.
(2025)
Closed Access
State identification of floating reactor control Rod drive mechanism based on similar state signal reconstruction and multiple convolutional neural networks
Zhilong Liu, Qinchao Wang, Tongxi Li, et al.
Measurement (2025), pp. 117359-117359
Closed Access
Temporal convolution-based sorting feature repeat-explore network combining with multi-band information for remaining useful life estimation of equipment
Yuanhong Chang, Jinglong Chen, Yulang Liu, et al.
Knowledge-Based Systems (2022) Vol. 249, pp. 108958-108958
Closed Access | Times Cited: 18
Deep subdomain generalisation network for health monitoring of high-speed train brake pads
Ruohui Hu, Min Zhang, Xiangyin Meng, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 113, pp. 104896-104896
Closed Access | Times Cited: 14
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
A comprehensive review of mechanical fault diagnosis methods based on convolutional neural network
Junjian Hou, Xikang Lu, Yudong Zhong, et al.
Journal of Vibroengineering (2023) Vol. 26, Iss. 1, pp. 44-65
Open Access | Times Cited: 4
Brake Disc Deformation Detection Using Intuitive Feature Extraction and Machine Learning
Tamás Dózsa, Péter Őri, Mátyás Márton Szabari, et al.
Machines (2024) Vol. 12, Iss. 4, pp. 214-214
Open Access | Times Cited: 1
A novel intelligent fault diagnosis method for commercial vehicle pneumatic braking system
Shidian Ma, Xuan Zhou, Haobin Jiang, et al.
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering (2024)
Closed Access | Times Cited: 1
A Mechanical Fault Identification Method for On-Load Tap Changers Based on Hybrid Time—Frequency Graphs of Vibration Signals and DSCNN-SVM with Small Sample Sizes
Yanhui Shi, Yanjun Ruan, Liangchuang Li, et al.
Vibration (2024) Vol. 7, Iss. 4, pp. 970-986
Open Access | Times Cited: 1
Leakage Fault Diagnosis of Lifting and Lowering Hydraulic System of Wing-Assisted Ships Based on WPT-SVM
Ranqi Ma, Haoyang Zhao, Kai Wang, et al.
Journal of Marine Science and Engineering (2022) Vol. 11, Iss. 1, pp. 27-27
Open Access | Times Cited: 7
Machine Learning Use-Cases in C-ITS Applications
Norman Bereczki, Vilmos Simon
Híradástechnika/Infocommunications journal (2023) Vol. 15, Iss. 1, pp. 26-43
Open Access | Times Cited: 4
CASVM: An Efficient Deep Learning Image Classification Method Combined with SVM
Shuqiu Tan, Jiahao Pan, Jianxun Zhang, et al.
Applied Sciences (2022) Vol. 12, Iss. 22, pp. 11690-11690
Open Access | Times Cited: 7
Reliable Fault Diagnosis of Rolling Bearing Based on Ensemble Modified Deep Metric Learning
Zengbing Xu, Xiaojuan Li, Jinxia Wang, et al.
Shock and Vibration (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 6
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
Braking Friction Coefficient Prediction Using PSO–GRU Algorithm Based on Braking Dynamometer Testing
Shuwen Wang, Yang Yu, Shuangxia Liu, et al.
Lubricants (2024) Vol. 12, Iss. 6, pp. 195-195
Open Access
Assessing Frictional Performance of Heavy Brake Pad Compounds Through Manta Ray Foraging Optimized Ensemble Tree Approach

Nanotechnology Perceptions (2024) Vol. 20, Iss. S2
Open Access
Exploring recursive properties and dynamical complexity in scalar time-series using threshold-free recursive analysis approach
Guodong Sun, Haisheng Wang, Yuting Wang, et al.
AIP Advances (2024) Vol. 14, Iss. 7
Open Access
A Lightweight and Efficient Multimodal Feature Fusion Network for Bearing Fault Diagnosis in Industrial Applications
Chaoquan Mo, Ke Huang, Wenhan Li, et al.
Sensors (2024) Vol. 24, Iss. 22, pp. 7139-7139
Open Access
Research on Tower Mechanical Fault Classification Method Based on Multiclass Central Segmentation Hyperplane Support Vector Machine Improvement Algorithm
Shunjie Han, Heran Wang, Xueyan Hu, et al.
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1331-1331
Open Access | Times Cited: 1
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