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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:

A spiking neural network-based approach to bearing fault diagnosis
Lin Zuo, Lei Zhang, Zhehan Zhang, et al.
Journal of Manufacturing Systems (2020) Vol. 61, pp. 714-724
Closed Access | Times Cited: 83

Showing 1-25 of 83 citing articles:

Unsupervised domain-share CNN for machine fault transfer diagnosis from steady speeds to time-varying speeds
Hongru Cao, Haidong Shao, Xiang Zhong, et al.
Journal of Manufacturing Systems (2021) Vol. 62, pp. 186-198
Closed Access | Times Cited: 207
Remaining Useful Life prediction and challenges: A literature review on the use of Machine Learning Methods
Carlos Ferreira, Gil Gonçalves
Journal of Manufacturing Systems (2022) Vol. 63, pp. 550-562
Open Access | Times Cited: 166
Rolling bearing fault diagnosis with combined convolutional neural networks and support vector machine
Tian Han, Longwen Zhang, Zhongjun Yin, et al.
Measurement (2021) Vol. 177, pp. 109022-109022
Closed Access | Times Cited: 161
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: 134
A multi-layer spiking neural network-based approach to bearing fault diagnosis
Lin Zuo, Fengjie Xu, Changhua Zhang, et al.
Reliability Engineering & System Safety (2022) Vol. 225, pp. 108561-108561
Closed Access | Times Cited: 85
Vibration signal-based early fault prognosis: Status quo and applications
Yaqiong Lv, Wenqin Zhao, Zhiyao Zhao, et al.
Advanced Engineering Informatics (2022) Vol. 52, pp. 101609-101609
Closed Access | Times Cited: 80
Machinery multi-sensor fault diagnosis based on adaptive multivariate feature mode decomposition and multi-attention fusion residual convolutional neural network
Xiaoan Yan, Wang‐Ji Yan, Yadong Xu, et al.
Mechanical Systems and Signal Processing (2023) Vol. 202, pp. 110664-110664
Closed Access | Times Cited: 47
Neural-transformer: A brain-inspired lightweight mechanical fault diagnosis method under noise
Changdong Wang, Bowen Tian, Jingli Yang, et al.
Reliability Engineering & System Safety (2024) Vol. 251, pp. 110409-110409
Closed Access | Times Cited: 38
Attitude data-based deep hybrid learning architecture for intelligent fault diagnosis of multi-joint industrial robots
Jianyu Long, Jindong Mou, Liangwei Zhang, et al.
Journal of Manufacturing Systems (2020) Vol. 61, pp. 736-745
Closed Access | Times Cited: 120
Semi-supervised multi-scale attention-aware graph convolution network for intelligent fault diagnosis of machine under extremely-limited labeled samples
Zongliang Xie, Jinglong Chen, Yong Feng, et al.
Journal of Manufacturing Systems (2022) Vol. 64, pp. 561-577
Closed Access | Times Cited: 62
Cloud-edge-device collaboration mechanisms of deep learning models for smart robots in mass personalization
Chen Yang, Yingchao Wang, Shulin Lan, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 77, pp. 102351-102351
Closed Access | Times Cited: 44
Rotating machinery fault diagnosis based on parameter-optimized variational mode decomposition
Haoran Du, Jixin Wang, Wenjun Qian, et al.
Digital Signal Processing (2024) Vol. 153, pp. 104590-104590
Closed Access | Times Cited: 12
A novel stochastic resonance based deep residual network for fault diagnosis of rolling bearing system
Xuqun Zhang, Yumei Ma, Zhenkuan Pan, et al.
ISA Transactions (2024) Vol. 148, pp. 279-284
Closed Access | Times Cited: 8
Intelligent fault diagnosis of mechanical equipment under varying working condition via iterative matching network augmented with selective Signal reuse strategy
Kaiyu Zhang, Jinglong Chen, Tianci Zhang, et al.
Journal of Manufacturing Systems (2020) Vol. 57, pp. 400-415
Closed Access | Times Cited: 65
AKSNet: A novel convolutional neural network with adaptive kernel width and sparse regularization for machinery fault diagnosis
Zhuang Ye, Jianbo Yu
Journal of Manufacturing Systems (2021) Vol. 59, pp. 467-480
Closed Access | Times Cited: 45
Sparse transfer learning for identifying rotor and gear defects in the mechanical machinery
Anil Kumar, Govind Vashishtha, Chander Parkash, et al.
Measurement (2021) Vol. 179, pp. 109494-109494
Closed Access | Times Cited: 41
Maximum margin Riemannian manifold-based hyperdisk for fault diagnosis of roller bearing with multi-channel fusion covariance matrix
Xin Li, Yu Yang, Niaoqing Hu, et al.
Advanced Engineering Informatics (2022) Vol. 51, pp. 101513-101513
Closed Access | Times Cited: 33
Intelligent Machine Fault Diagnosis Using Convolutional Neural Networks and Transfer Learning
Wentao Zhang, Ting Zhang, Guohua Cui, et al.
IEEE Access (2022) Vol. 10, pp. 50959-50973
Open Access | Times Cited: 30
Improved spiking neural network for intershaft bearing fault diagnosis
Jun Wang, Tianfu Li, Chuang Sun, et al.
Journal of Manufacturing Systems (2022) Vol. 65, pp. 208-219
Closed Access | Times Cited: 30
Topological feature vectors for chatter detection in turning processes
Melih C. Yesilli, Firas A. Khasawneh, A. Otto
The International Journal of Advanced Manufacturing Technology (2022) Vol. 119, Iss. 9-10, pp. 5687-5713
Open Access | Times Cited: 29
Bioinspired membrane learnable spiking neural network for autonomous vehicle sensors fault diagnosis under open environments
Huan Wang, Yan‐Fu Li
Reliability Engineering & System Safety (2023) Vol. 233, pp. 109102-109102
Closed Access | Times Cited: 18
An Edge Intelligent Method for Bearing Fault Diagnosis Based on a Parameter Transplantation Convolutional Neural Network
Xiang Ding, Hang Wang, Zheng Cao, et al.
Electronics (2023) Vol. 12, Iss. 8, pp. 1816-1816
Open Access | Times Cited: 16
A Deep Neural Network-Based Feature Fusion for Bearing Fault Diagnosis
Duy-Tang Hoang, Xuan-Toa Tran, Mien Van, et al.
Sensors (2021) Vol. 21, Iss. 1, pp. 244-244
Open Access | Times Cited: 37
Industrial fault diagnosis based on diverse variable weighted ensemble learning
Chuanxia Jian, Yinhui Ao
Journal of Manufacturing Systems (2022) Vol. 62, pp. 718-735
Closed Access | Times Cited: 23
Research on Fault Diagnosis of Highway Bi-LSTM Based on Attention Mechanism
Xueyi Li, Kaiyu Su, Qiushi He, et al.
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2023) Vol. 25, Iss. 2
Open Access | Times Cited: 15
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