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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 Bearings Based on Multi-Sensor Information Fusion and 2D Convolutional Neural Network
Jiaxing Wang, Dazhi Wang, Sihan Wang, et al.
IEEE Access (2021) Vol. 9, pp. 23717-23725
Open Access | Times Cited: 78

Showing 1-25 of 78 citing articles:

CNN parameter design based on fault signal analysis and its application in bearing fault diagnosis
Diwang Ruan, Jin Wang, Jianping Yan, et al.
Advanced Engineering Informatics (2023) Vol. 55, pp. 101877-101877
Open Access | Times Cited: 154
CFCNN: A novel convolutional fusion framework for collaborative fault identification of rotating machinery
Yadong Xu, Ke Feng, Xiaoan Yan, et al.
Information Fusion (2023) Vol. 95, pp. 1-16
Closed Access | Times Cited: 98
Few-Shot Cross-Domain Fault Diagnosis of Bearing Driven by Task-Supervised ANIL
Haidong Shao, Xiangdong Zhou, Jian Lin, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 13, pp. 22892-22902
Closed Access | Times Cited: 70
Improved Fault Classification for Predictive Maintenance in Industrial IoT Based on AutoML: A Case Study of Ball-Bearing Faults
Russul H. Hadi, Haider Najy Hady, Ahmed Mudheher Hasan, et al.
Processes (2023) Vol. 11, Iss. 5, pp. 1507-1507
Open Access | Times Cited: 51
A systematic review of data fusion techniques for optimized structural health monitoring
Sahar Hassani, Ulrike Dackermann, Mohsen Mousavi, et al.
Information Fusion (2023) Vol. 103, pp. 102136-102136
Open Access | Times Cited: 47
Digital Twin for Integration of Design-Manufacturing-Maintenance: An Overview
Fu Yang, Gang Zhu, Ming‐Liang Zhu, et al.
Chinese Journal of Mechanical Engineering (2022) Vol. 35, Iss. 1
Open Access | Times Cited: 51
Train bearing fault diagnosis based on multi-sensor data fusion and dual-scale residual network
Deqiang He, Zhenpeng Lao, Zhenzhen Jin, et al.
Nonlinear Dynamics (2023) Vol. 111, Iss. 16, pp. 14901-14924
Closed Access | Times Cited: 30
An Intelligent Method for Early Motor Bearing Fault Diagnosis Based on Wasserstein Distance Generative Adversarial Networks Meta Learning
Peien Luo, Zhonggang Yin, Dongsheng Yuan, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-11
Closed Access | Times Cited: 23
Explainable Predictive Maintenance of Rotating Machines Using LIME, SHAP, PDP, ICE
Shreyas Gawde, Shruti Patil, Satish Kumar, et al.
IEEE Access (2024) Vol. 12, pp. 29345-29361
Open Access | Times Cited: 13
Improved Fault Diagnosis Method for Permanent Magnet Synchronous Machine System Based on Lightweight Multi-Source Information Data Layer Fusion
Jun Hang, Gaopeng Qiu, Menglu Hao, et al.
IEEE Transactions on Power Electronics (2024) Vol. 39, Iss. 10, pp. 13808-13817
Closed Access | Times Cited: 12
Online Open-Circuit Fault Diagnosis for Neutral Point Clamped Inverter Based on an Improved Convolutional Neural Network and Sample Amplification Method Under Varying Operating Conditions
Haolan Shen, Xin Tang, Yifei Luo, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-12
Closed Access | Times Cited: 7
Multi-sensor signals multi-scale fusion method for fault detection of high-speed and high-power diesel engine under variable operating conditions
Jiaqi Liang, Zhiwei Mao, Fengchun Liu, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106912-106912
Closed Access | Times Cited: 21
Convolutional-neural-network-based multi-signals fault diagnosis of induction motor using single and multi-channels datasets
Manar Abdelmaksoud, Marwan Torki, Mohamed El-Habrouk, et al.
Alexandria Engineering Journal (2023) Vol. 73, pp. 231-248
Open Access | Times Cited: 19
A Multiple Attention Convolutional Neural Networks for Diesel Engine Fault Diagnosis
Xiao Yang, Fengrong Bi, Jiangang Cheng, et al.
Sensors (2024) Vol. 24, Iss. 9, pp. 2708-2708
Open Access | Times Cited: 5
A Survey of Industrial AIoT: Opportunities, Challenges, and Directions
Kamran Sattar Awaisi, Qiang Ye, Srinivas Sampalli
IEEE Access (2024) Vol. 12, pp. 96946-96996
Open Access | Times Cited: 5
The Disturbed Fault Diagnosis for Discrete‐Time Euler–Lagrange System With Multi‐Sensors Based on χ2$$ {\chi}^2 $$‐Detection
Qian Dong, Tianchi Tong, Wenying Yuan, et al.
International Journal of Robust and Nonlinear Control (2025)
Closed Access
An ensemble deep learning network based on 2D convolutional neural network and 1D LSTM with self-attention for bearing fault diagnosis
Liying Wang, Weiguo Zhao
Applied Soft Computing (2025), pp. 112889-112889
Closed Access
A Bearing Fault Classification Framework Based on Image Encoding Techniques and a Convolutional Neural Network under Different Operating Conditions
Rafia Nishat Toma, Farzin Piltan, Kichang Im, et al.
Sensors (2022) Vol. 22, Iss. 13, pp. 4881-4881
Open Access | Times Cited: 20
A Random Forest Approach to Body Motion Detection: Multisensory Fusion and Edge Processing
Sanaz Kianoush, Stefano Savazzi, Vittorio Rampa, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 4, pp. 3801-3814
Open Access | Times Cited: 11
A Multi-scale Attention-Based Transfer Model for Cross-bearing Fault Diagnosis
Puda Li
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 3
Rolling Bearing Remaining Useful Life Prediction Based on CNN-VAE-MBiLSTM
Lei Yang, Yibo Jiang, Kang Zeng, et al.
Sensors (2024) Vol. 24, Iss. 10, pp. 2992-2992
Open Access | Times Cited: 3
A Systematic Literature Review of Industry 4.0 Technologies within Medical Device Manufacturing
Tuuli Katarina Lepasepp, William Hurst
Future Internet (2021) Vol. 13, Iss. 10, pp. 264-264
Open Access | Times Cited: 26
A New Multisensor Information Fusion Technique Using Processed Images: Algorithms and Application on Hydraulic Components
Jinchuan Shi, Yan Ren, Jiyan Yi, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-12
Closed Access | Times Cited: 16
Boosted Convolutional Neural Network Algorithm for the Classification of the Bearing Fault form 1-D Raw Sensor Data
Paweł Knap, Krzysztof Lalik, Patryk Bałazy
Sensors (2023) Vol. 23, Iss. 9, pp. 4295-4295
Open Access | Times Cited: 8
Intelligent Diagnosis of Rolling Bearings Fault Based on Multisignal Fusion and MTF-ResNet
Kecheng He, Yanwei Xu, Yun Wang, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6281-6281
Open Access | Times Cited: 8
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