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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:

Deep Learning Algorithms for Bearing Fault Diagnostics—A Comprehensive Review
Shen Zhang, Shibo Zhang, Bingnan Wang, et al.
IEEE Access (2020) Vol. 8, pp. 29857-29881
Open Access | Times Cited: 589

Showing 1-25 of 589 citing articles:

Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study
Zhibin Zhao, Tianfu Li, Jingyao Wu, et al.
ISA Transactions (2020) Vol. 107, pp. 224-255
Open Access | Times Cited: 425
Bearing fault diagnosis base on multi-scale CNN and LSTM model
Xiaohan Chen, Beike Zhang, Dong Gao
Journal of Intelligent Manufacturing (2020) Vol. 32, Iss. 4, pp. 971-987
Closed Access | Times Cited: 410
Bearing Fault Detection and Diagnosis Using Case Western Reserve University Dataset With Deep Learning Approaches: A Review
Dhiraj Neupane, Jongwon Seok
IEEE Access (2020) Vol. 8, pp. 93155-93178
Open Access | Times Cited: 369
A review of the application of deep learning in intelligent fault diagnosis of rotating machinery
Zhiqin Zhu, Yangbo Lei, Guanqiu Qi, et al.
Measurement (2022) Vol. 206, pp. 112346-112346
Closed Access | Times Cited: 281
Deep Learning in the Industrial Internet of Things: Potentials, Challenges, and Emerging Applications
Ruhul Amin Khalil, Nasir Saeed, Mudassir Masood, et al.
IEEE Internet of Things Journal (2021) Vol. 8, Iss. 14, pp. 11016-11040
Open Access | Times Cited: 207
Medical image analysis based on deep learning approach
Murali Krishna Puttagunta, S. Ravi
Multimedia Tools and Applications (2021)
Open Access | Times Cited: 206
A comprehensive review of digital twin — part 1: modeling and twinning enabling technologies
Adam Thelen, Xiaoge Zhang, Olga Fink, et al.
Structural and Multidisciplinary Optimization (2022) Vol. 65, Iss. 12
Open Access | Times Cited: 182
Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016
Xiaohan Chen, Rui Yang, Yihao Xue, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-21
Open Access | Times Cited: 182
A Survey of Predictive Maintenance: Systems, Purposes and Approaches
Yongyi Ran, Xin Zhou, Pengfeng Lin, et al.
arXiv (Cornell University) (2019)
Open Access | Times Cited: 176
Cross-Domain Fault Diagnosis Using Knowledge Transfer Strategy: A Review
Huailiang Zheng, Rixin Wang, Yuantao Yang, et al.
IEEE Access (2019) Vol. 7, pp. 129260-129290
Open Access | Times Cited: 163
A Review of Artificial Intelligence Methods for Condition Monitoring and Fault Diagnosis of Rolling Element Bearings for Induction Motor
Omar AlShorman, Muhammad Irfan, Nordin Saad, et al.
Shock and Vibration (2020) Vol. 2020, pp. 1-20
Open Access | Times Cited: 159
Fault diagnosis for small samples based on attention mechanism
Xin Zhang, Chao He, Yanping Lu, et al.
Measurement (2021) Vol. 187, pp. 110242-110242
Closed Access | Times Cited: 139
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: 126
Multi-fault diagnosis of Industrial Rotating Machines using Data-driven approach : A review of two decades of research
Shreyas Gawde, Shruti Patil, Satish Kumar, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106139-106139
Open Access | Times Cited: 122
A survey of transfer learning for machinery diagnostics and prognostics
Siya Yao, Qi Kang, MengChu Zhou, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 4, pp. 2871-2922
Closed Access | Times Cited: 74
Fault diagnosis in rotating machines based on transfer learning: Literature review
Iqbal Misbah, C.K.M. Lee, K. L. Keung
Knowledge-Based Systems (2023) Vol. 283, pp. 111158-111158
Closed Access | Times Cited: 56
An Intelligent Fault Diagnosis Method of Rolling Bearings Based on Short-Time Fourier Transform and Convolutional Neural Network
Qi Zhang, Linfeng Deng
Journal of Failure Analysis and Prevention (2023) Vol. 23, Iss. 2, pp. 795-811
Closed Access | Times Cited: 55
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
Human–Machine Interaction via Dual Modes of Voice and Gesture Enabled by Triboelectric Nanogenerator and Machine Learning
Hao Luo, Jingyi Du, Peng Yang, et al.
ACS Applied Materials & Interfaces (2023) Vol. 15, Iss. 13, pp. 17009-17018
Open Access | Times Cited: 45
A Systematic Literature Review on Transfer Learning for Predictive Maintenance in Industry 4.0
Mehdi Saman Azari, Francesco Flammini, Stefania Santini, et al.
IEEE Access (2023) Vol. 11, pp. 12887-12910
Open Access | Times Cited: 40
A self-attention based contrastive learning method for bearing fault diagnosis
Long Cui, Xincheng Tian, Qingzhe Wei, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121645-121645
Closed Access | Times Cited: 39
Insights into modern machine learning approaches for bearing fault classification: A systematic literature review
Afzal Ahmed Soomro, Masdi Muhammad, Ainul Akmar Mokhtar, et al.
Results in Engineering (2024) Vol. 23, pp. 102700-102700
Open Access | Times Cited: 18
Application of deep learning to fault diagnosis of rotating machineries
Hao Su, Ling Xiang, Aijun Hu
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 042003-042003
Open Access | Times Cited: 15
Application of physics-informed neural networks in fault diagnosis and fault-tolerant control design for electric vehicles: A review
Arslan Ahmed Amin, Amir Zaki Mubarak, Saba Waseem
Measurement (2025), pp. 116728-116728
Closed Access | Times Cited: 1
Critical Wind Turbine Components Prognostics: A Comprehensive Review
Milad Rezamand, Mojtaba Kordestani, Rupp Carriveau, et al.
IEEE Transactions on Instrumentation and Measurement (2020) Vol. 69, Iss. 12, pp. 9306-9328
Closed Access | Times Cited: 130
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