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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:

Fault Diagnosis of High-Speed Train Bogie Based on the Improved-CEEMDAN and 1-D CNN Algorithms
Deqing Huang, Shupan Li, Na Qin, et al.
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-11
Closed Access | Times Cited: 90

Showing 1-25 of 90 citing articles:

Rolling Element Fault Diagnosis Based on VMD and Sensitivity MCKD
Hongjiang Cui, Ying Guan, Huayue Chen
IEEE Access (2021) Vol. 9, pp. 120297-120308
Open Access | Times Cited: 135
The Fault Diagnosis of a Switch Machine Based on Deep Random Forest Fusion
Yuan Cao, Yuanshu Ji, Yongkui Sun, et al.
IEEE Intelligent Transportation Systems Magazine (2022) Vol. 15, Iss. 1, pp. 437-452
Closed Access | Times Cited: 85
Research on Virtual Coupled Train Control Method Based on GPC & VAPF
Yuan Cao, Yaran Yang, Lianchuan Ma, et al.
Chinese Journal of Electronics (2022) Vol. 31, Iss. 5, pp. 897-905
Open Access | Times Cited: 75
Deep Learning Techniques in Intelligent Fault Diagnosis and Prognosis for Industrial Systems: A Review
Shaohua Qiu, Xiaopeng Cui, Zuowei Ping, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1305-1305
Open Access | Times Cited: 65
Optimized Forecasting Model to Improve the Accuracy of Very Short-Term Wind Power Prediction
Md. Alamgir Hossain, Evan Gray, Junwei Lu, et al.
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 10, pp. 10145-10159
Open Access | Times Cited: 43
Dconformer: A denoising convolutional transformer with joint learning strategy for intelligent diagnosis of bearing faults
Sheng Li, Jinchen Ji, Yadong Xu, et al.
Mechanical Systems and Signal Processing (2024) Vol. 210, pp. 111142-111142
Closed Access | Times Cited: 30
A nearly end-to-end deep learning approach to fault diagnosis of wind turbine gearboxes under nonstationary conditions
Liangwei Zhang, Qi Fan, Jing Lin, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 119, pp. 105735-105735
Closed Access | Times Cited: 65
A fault diagnosis method based on one-dimensional data enhancement and convolutional neural network
Yunyao Long, Wuneng Zhou, Yong Luo
Measurement (2021) Vol. 180, pp. 109532-109532
Closed Access | Times Cited: 55
Multisource Domain Feature Adaptation Network for Bearing Fault Diagnosis Under Time-Varying Working Conditions
Rui Wang, Weiguo Huang, Jun Wang, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-10
Closed Access | Times Cited: 49
Fault Diagnosis of Rotating Machinery Based on 1D–2D Joint Convolution Neural Network
Wenliao Du, Pengjie Hu, Hongchao Wang, et al.
IEEE Transactions on Industrial Electronics (2022) Vol. 70, Iss. 5, pp. 5277-5285
Closed Access | Times Cited: 42
Restricted Sparse Networks for Rolling Bearing Fault Diagnosis
Huaxiang Pu, Ke Zhang, Yiyao An
IEEE Transactions on Industrial Informatics (2023) Vol. 19, Iss. 11, pp. 11139-11149
Closed Access | Times Cited: 28
A graph-guided collaborative convolutional neural network for fault diagnosis of electromechanical systems
Yadong Xu, Jinchen Ji, Qing Ni, et al.
Mechanical Systems and Signal Processing (2023) Vol. 200, pp. 110609-110609
Closed Access | Times Cited: 28
Automatic Railroad Track Components Inspection Using Hybrid Deep Learning Framework
Yunpeng Wu, Ping Chen, Yong Qin, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-15
Closed Access | Times Cited: 23
A fault diagnosis method with AT-ICNN based on a hybrid attention mechanism and improved convolutional layers
Xueyi Li, Shuquan Xiao, Feibin Zhang, et al.
Applied Acoustics (2024) Vol. 225, pp. 110191-110191
Closed Access | Times Cited: 7
Open-Circuit Fault Diagnosis of NPC Inverter Based on Improved 1-D CNN Network
Weibo Yuan, Zhigang Li, Yigang He, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 33
AttGGCN Model: A Novel Multi-Sensor Fault Diagnosis Method for High-Speed Train Bogie
Jie Man, Honghui Dong, Limin Jia, et al.
IEEE Transactions on Intelligent Transportation Systems (2022) Vol. 23, Iss. 10, pp. 19511-19522
Closed Access | Times Cited: 32
A novel series arc fault detection method for photovoltaic system based on multi-input neural network
Xiaoqi Chen, Wei Gao, Hong Cui, et al.
International Journal of Electrical Power & Energy Systems (2022) Vol. 140, pp. 108018-108018
Closed Access | Times Cited: 29
Twins transformer: Cross-attention based two-branch transformer network for rotating bearing fault diagnosis
Jie Li, Yu Bao, Wenxin Liu, et al.
Measurement (2023) Vol. 223, pp. 113687-113687
Closed Access | Times Cited: 19
Vibration-Based Fault Diagnosis for Railway Point Machines Using VMD and Multiscale Fluctuation-Based Dispersion Entropy
Yongkui Sun, Yuan Cao, Peng Li, et al.
Chinese Journal of Electronics (2024) Vol. 33, Iss. 3, pp. 803-813
Closed Access | Times Cited: 7
A Unified Label Noise-Tolerant Framework of Deep Learning-Based Fault Diagnosis via a Bounded Neural Network
Sudao He, Wai Kei Ao, Yi‐Qing Ni
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-15
Closed Access | Times Cited: 5
Roles of Vibration-Based Machine Learning Algorithms in Railway Vehicle Monitoring for Track Condition Assessment: A Review
Agustinus Winarno, Rienetta Ichmawati Delia Sandhy, Nurhazimah Nazmi, et al.
Journal of Vibration Engineering & Technologies (2025) Vol. 13, Iss. 4
Closed Access
The Variational Kernel-Based 1-D Convolutional Neural Network for Machinery Fault Diagnosis
Zhenling Mo, Zijun Zhang, Kwok‐Leung Tsui
IEEE Transactions on Instrumentation and Measurement (2021) Vol. 70, pp. 1-10
Closed Access | Times Cited: 32
An Adaptive Multisensor Fault Diagnosis Method for High-Speed Train Bogie
Jie Man, Honghui Dong, Limin Jia, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 24, Iss. 6, pp. 6292-6306
Closed Access | Times Cited: 15
Entropy Feature Fusion-Based Diagnosis for Railway Point Machines Using Vibration Signals Based on Kernel Principal Component Analysis and Support Vector Machine
Yongkui Sun, Yuan Cao, Peng Li, et al.
IEEE Intelligent Transportation Systems Magazine (2023) Vol. 15, Iss. 6, pp. 96-108
Closed Access | Times Cited: 14
Fault Diagnosis of Multi-Railway High-Speed Train Bogies by Improved Federated Learning
Na Qin, Jiahao Du, Yiming Zhang, et al.
IEEE Transactions on Vehicular Technology (2023) Vol. 72, Iss. 6, pp. 7184-7194
Closed Access | Times Cited: 13
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