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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:

Multi-input CNN based vibro-acoustic fusion for accurate fault diagnosis of induction motor
Anurag Choudhary, Rismaya Kumar Mishra, Shahab Fatima, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 120, pp. 105872-105872
Closed Access | Times Cited: 90

Showing 26-50 of 90 citing articles:

Real-time bearing fault classification of induction motor using enhanced inception ResNet-V2
Karan Kumar K, Srihari Mandava
Applied Artificial Intelligence (2024) Vol. 38, Iss. 1
Open Access | Times Cited: 3
Intelligent fault diagnosis for unbalanced battery data using adversarial domain expansion and enhanced stochastic configuration networks
Sizhe Liu, XU De-zhi, Yujian Ye, et al.
Information Sciences (2024) Vol. 687, pp. 121399-121399
Closed Access | Times Cited: 3
Rotor Bar Fault Diagnosis in Indirect Field–Oriented Control-Fed Induction Motor Drive Using Hilbert Transform, Discrete Wavelet Transform, and Energy Eigenvalue Computation
Senthil Kumar R, V. Indragandhi, Belqasem Aljafari, et al.
Machines (2023) Vol. 11, Iss. 7, pp. 711-711
Open Access | Times Cited: 9
Vibration-Based Wear Condition Estimation of Journal Bearings Using Convolutional Autoencoders
Cihan Ateş, Tobias Höfchen, Mario Witt, et al.
Sensors (2023) Vol. 23, Iss. 22, pp. 9212-9212
Open Access | Times Cited: 9
A Novel Small-Sample Dense Teacher Assistant Knowledge Distillation Method for Bearing Fault Diagnosis
Hongyu Zhong, Samson S. Yu, Hieu Trinh, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 20, pp. 24279-24291
Closed Access | Times Cited: 8
Three-Phase Asynchronous Motor Fault Diagnosis Using Attention Mechanism and Hybrid CNN-MLP By Multi-Sensor Information
Yi Zhou, Qianming Shang, Cong Guan
IEEE Access (2023) Vol. 11, pp. 98402-98414
Open Access | Times Cited: 7
AFcIHNet: Attention feature-constrained network for single image information hiding
Xingwang Jia, Huamei Xin, Lingchen Gu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 107105-107105
Closed Access | Times Cited: 7
A lightweight dynamic dual-damped wavelet-based convolutional neural network for interpretable bearing fault diagnosis
Lijuan Zhao, Yongfang Mao, Yi Qin
Measurement Science and Technology (2024) Vol. 35, Iss. 8, pp. 086115-086115
Open Access | Times Cited: 2
Mechanical and electrical faults detection in induction motor across multiple sensors with CNN-LSTM deep learning model
Merve ERTARĞIN, Özal Yıldırım, Ahmet Orhan
Electrical Engineering (2024)
Closed Access | Times Cited: 2
Data-Driven Feature Extraction-Transformer: A Hybrid Fault Diagnosis Scheme Utilizing Acoustic Emission Signals
Chenggong Ma, Jiuyang Gao, Zhenggang Wang, et al.
Processes (2024) Vol. 12, Iss. 10, pp. 2094-2094
Open Access | Times Cited: 2
A CNN-Based Methodology for Identifying Mechanical Faults in Induction Motors Using Thermography
Omar Trejo-Chavez, Irving A. Cruz‐Albarran, Emmanuel Resendiz‐Ochoa, et al.
Machines (2023) Vol. 11, Iss. 7, pp. 752-752
Open Access | Times Cited: 6
A rolling bearing fault diagnosis method based on a convolutional neural network with frequency attention mechanism
Hui Zhou, Runda Liu, Yaxin Li, et al.
Structural Health Monitoring (2023) Vol. 23, Iss. 4, pp. 2475-2495
Open Access | Times Cited: 6
A novel multi-scale competitive network for fault diagnosis in rotating machinery
Zhiwu Huang, Xinlong Zhao
Engineering Applications of Artificial Intelligence (2023) Vol. 128, pp. 107441-107441
Closed Access | Times Cited: 6
Health Status Recognition Method for Rotating Machinery Based on Multi-Scale Hybrid Features and Improved Convolutional Neural Networks
Xiangang Cao, Xingyu Guo, Yong Duan, et al.
Sensors (2023) Vol. 23, Iss. 12, pp. 5688-5688
Open Access | Times Cited: 5
Duplex adversarial domain discriminative network for cross-domain partial transfer fault diagnosis
Fuqiang Liu, Wenlong Deng, Chaoqun Duan, et al.
Knowledge-Based Systems (2023) Vol. 279, pp. 110960-110960
Closed Access | Times Cited: 5
The combination model of CNN and GCN for machine fault diagnosis
Qianqian Zhang, Caiyun Hao, Zhongwei Lv, et al.
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0292381-e0292381
Open Access | Times Cited: 5
A New Cross-Domain Motor Fault Diagnosis Method Based on Bimodal Inputs
Qianming Shang, Tianyao Jin, Mingsheng Chen
Journal of Marine Science and Engineering (2024) Vol. 12, Iss. 8, pp. 1304-1304
Open Access | Times Cited: 1
DACA: A domain adaptive fault diagnosis approach with class-aware based on cross-domain extreme imbalance data
Y. G. Li, Ying Zhu, Yang Yu, et al.
Expert Systems with Applications (2024) Vol. 256, pp. 124944-124944
Closed Access | Times Cited: 1
Classifying Healthy and Defective Fruits with a Multi-Input Architecture and CNN Models
Luis Chuquimarca, Boris X. Vintimilla, Sergio A. Velastín
(2024), pp. 1-7
Open Access | Times Cited: 1
Semi-supervised Convolutional Generative Adversarial Networks for Dynamic Fault Classification with Manifold Regularization
Junhua Zheng, Jian Wang, Lingjian Ye, et al.
Process Safety and Environmental Protection (2024)
Closed Access | Times Cited: 1
A novel deep convolutional neural network and its application to fault diagnosis of the squirrel-cage asynchronous motor under noisy environment
L Chen, Yidan Ma, Haiquan Wang, et al.
Measurement Science and Technology (2023) Vol. 34, Iss. 11, pp. 115113-115113
Closed Access | Times Cited: 4
A GTI&Ada-Act LMCNN Method for Intelligent Fault Diagnosis of Motor Rotor-Bearing Unit Under Variable Conditions
Hongwei Fan, Zhongfu Ren, Xiangang Cao, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-14
Closed Access | Times Cited: 1
A deep learning approach for health monitoring in rotating machineries using vibrations and thermal features
Pauline Ong, Anelka John Koshy, Kee Huong Lai, et al.
Decision Analytics Journal (2024) Vol. 10, pp. 100399-100399
Open Access | Times Cited: 1
Rolling mill fault diagnosis under limited datasets
Junjie He, Peiming Shi, Xuefang Xu, et al.
Knowledge-Based Systems (2024) Vol. 291, pp. 111579-111579
Closed Access | Times Cited: 1
Fault Diagnosis of Spur Gearbox by Image Classification Using Deep CNN
Mahendra Singh Raghav, Shivdayal Patel
(2024), pp. 201-206
Closed Access | Times Cited: 1

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