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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:

Application of Multi-Dimension Input Convolutional Neural Network in Fault Diagnosis of Rolling Bearings
Tao Zan, Hui Wang, Min Wang, et al.
Applied Sciences (2019) Vol. 9, Iss. 13, pp. 2690-2690
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

A systematic review of rolling bearing fault diagnoses based on deep learning and transfer learning: Taxonomy, overview, application, open challenges, weaknesses and recommendations
Mohammed Hakim, Abdoulhdi A. Borhana Omran, Ali Najah Ahmed, et al.
Ain Shams Engineering Journal (2022) Vol. 14, Iss. 4, pp. 101945-101945
Open Access | Times Cited: 129
Challenges and Opportunities of AI-Enabled Monitoring, Diagnosis & Prognosis: A Review
Zhibin Zhao, Jingyao Wu, Tianfu Li, et al.
Chinese Journal of Mechanical Engineering (2021) Vol. 34, Iss. 1
Open Access | Times Cited: 98
Intelligent fault diagnostic system for rotating machinery based on IoT with cloud computing and artificial intelligence techniques: a review
Manisha Maurya, Isham Panigrahi, Dipti Dash, et al.
Soft Computing (2023) Vol. 28, Iss. 1, pp. 477-494
Closed Access | Times Cited: 33
Review of research on signal decomposition and fault diagnosis of rolling bearing based on vibration signal
Junning Li, Luo Wen-guang, Mengsha Bai
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 092001-092001
Closed Access | Times Cited: 9
Deep Learning for Infant Cry Recognition
Yun-Chia Liang, Iven Wijaya, Ming‐Tao Yang, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 10, pp. 6311-6311
Open Access | Times Cited: 30
Statistical Process Control with Intelligence Based on the Deep Learning Model
Tao Zan, Zhihao Liu, Zifeng Su, et al.
Applied Sciences (2019) Vol. 10, Iss. 1, pp. 308-308
Open Access | Times Cited: 49
Bearing Fault Diagnosis Based on Shallow Multi-Scale Convolutional Neural Network with Attention
Tengda Huang, Sheng Fu, Haonan Feng, et al.
Energies (2019) Vol. 12, Iss. 20, pp. 3937-3937
Open Access | Times Cited: 37
Multi-Step Short-Term Wind Speed Prediction Using a Residual Dilated Causal Convolutional Network with Nonlinear Attention
Shivam Kumar, Jong-Chyuan Tzou, Shang-Chen Wu
Energies (2020) Vol. 13, Iss. 7, pp. 1772-1772
Open Access | Times Cited: 33
2D CNN-Based Multi-Output Diagnosis for Compound Bearing Faults under Variable Rotational Speeds
Minhtuan Pham, Jong-Myon Kim, Cheol Hong Kim
Machines (2021) Vol. 9, Iss. 9, pp. 199-199
Open Access | Times Cited: 31
A Bearing Fault Diagnosis Method Using Multi-Branch Deep Neural Network
Van‐Cuong Nguyen, Duy-Tang Hoang, Xuan-Toa Tran, et al.
Machines (2021) Vol. 9, Iss. 12, pp. 345-345
Open Access | Times Cited: 28
Fault diagnosis of a rolling bearing based on the wavelet packet transform and a deep residual network with lightweight multi-branch structure
Shoucong Xiong, Hongdi Zhou, Shuai He, et al.
Measurement Science and Technology (2021) Vol. 32, Iss. 8, pp. 085106-085106
Closed Access | Times Cited: 27
Deep Transfer Learning for Bearing Fault Diagnosis using CWT Time–Frequency Images and Convolutional Neural Networks
Said Djaballah, Kamel Meftah, Khaled Khelil, et al.
Journal of Failure Analysis and Prevention (2023) Vol. 23, Iss. 3, pp. 1046-1058
Closed Access | Times Cited: 12
Wavelet-Prototypical Network Based on Fusion of Time and Frequency Domain for Fault Diagnosis
Yu Wang, Lei Chen, Yang Liu, et al.
Sensors (2021) Vol. 21, Iss. 4, pp. 1483-1483
Open Access | Times Cited: 26
ERDeR: The Combination of Statistical Shrinkage Methods and Ensemble Approaches to Improve the Performance of Deep Regression
Zari Farhadi, Mohammad‐Reza Feizi‐Derakhshi, Hossein Bevrani, et al.
IEEE Access (2024) Vol. 12, pp. 33361-33383
Open Access | Times Cited: 3
Wise-local response convolutional neural network based on Naïve Bayes theorem for rotating machinery fault classification
Anas H. Aljemely, Jianping Xuan, Long Xu, et al.
Applied Intelligence (2021) Vol. 51, Iss. 10, pp. 6932-6950
Closed Access | Times Cited: 18
Bearing Fault Diagnosis under Varying Work Conditions Based on Synchrosqueezing Transform, Random Projection, and Convolutional Neural Networks
Boubker Najdi, Mohammed Benbrahim, Mohammed Nabil Kabbaj
International Journal of Prognostics and Health Management (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 2
A novel methodology for fault size estimation of ball bearings using stator current signal
Chen Wang, Min Wang, Bin Yang, et al.
Measurement (2020) Vol. 171, pp. 108723-108723
Closed Access | Times Cited: 16
Constructing a Reliable Health Indicator for Bearings Using Convolutional Autoencoder and Continuous Wavelet Transform
Mohammadreza Kaji, J. Parvizian, Hans Wernher van de Venn
Applied Sciences (2020) Vol. 10, Iss. 24, pp. 8948-8948
Open Access | Times Cited: 15
Baby Crying Sound Classification using Convolutional Neural Network
Naufal Fikri Muhammad, Raimi Dewan, Jaysuman Pusppanathan, et al.
Journal of Human Centered Technology (2024) Vol. 3, Iss. 1, pp. 67-74
Open Access | Times Cited: 1
Technical Diagnostics of Industrial Robots Using Vibration Signals: Case Study on Detecting Base Unfastening
D. V. Fedorova, Vladimír Tlach, Ivan Kuric, et al.
Applied Sciences (2024) Vol. 15, Iss. 1, pp. 270-270
Open Access | Times Cited: 1
A New Defect Diagnosis Method for Wire Rope Based on CNN-Transformer and Transfer Learning
Mingyuan Wang, Jishun Li, Yujun Xue
Applied Sciences (2023) Vol. 13, Iss. 12, pp. 7069-7069
Open Access | Times Cited: 3
Fault Diagnosis of Rotating Machine
Grzegorz Królczyk, Zhixiong Li, Jose A. Antonino‐Daviu
Applied Sciences (2020) Vol. 10, Iss. 6, pp. 1961-1961
Open Access | Times Cited: 8
Transforming Simulated Data into Experimental Data Using Deep Learning for Vibration-Based Structural Health Monitoring
Abhijeet Kumar, Anirban Guha, Sauvik Banerjee
(2023)
Open Access | Times Cited: 2
A Novel End-To-End Feature Selection and Diagnosis Method for Rotating Machinery
Gang Wang, Yang Zhao, Jiasi Zhang, et al.
Sensors (2021) Vol. 21, Iss. 6, pp. 2056-2056
Open Access | Times Cited: 5
Attention Mechanism Feature Fusion for Bearing Fault Diagnosis in Noise Environment
Guangxu Fu, Kai Mao, Guo‐Hua Zhang, et al.
(2024), pp. 420-425
Closed Access
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