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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 Transfer Learning Models for Industrial Fault Diagnosis Using Vibration and Acoustic Sensors Data: A Review
Md Roman Bhuiyan, Jia Uddin
Vibration (2023) Vol. 6, Iss. 1, pp. 218-238
Open Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

The State of the Art in Deep Learning Applications, Challenges, and Future Prospects: A Comprehensive Review of Flood Forecasting and Management
Vijendra Kumar, Hazi Mohammad Azamathulla, Kul Vaibhav Sharma, et al.
Sustainability (2023) Vol. 15, Iss. 13, pp. 10543-10543
Open Access | Times Cited: 99
A systematic review and meta-analysis of machine learning, deep learning, and ensemble learning approaches in predicting EV charging behavior
Elaheh Yaghoubi, Elnaz Yaghoubi, Ahmed A. Khamees, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108789-108789
Closed Access | Times Cited: 53
FEV-Swin: Multi-source heterogeneous information fusion under a variant swin transformer framework for intelligent cross-domain fault diagnosis
Keyi Zhou, Keyi Zhou, Bin Jiang, et al.
Knowledge-Based Systems (2025), pp. 112982-112982
Closed Access | Times Cited: 2
Imbalanced deep transfer network for fault diagnosis of high-speed train traction motor bearings
Yilong Liu, Xinyuan Li, Xingwu Zhang, et al.
Knowledge-Based Systems (2024) Vol. 293, pp. 111682-111682
Closed Access | Times Cited: 6
A meta-learning method for few-shot bearing fault diagnosis under variable working conditions
Liang Zeng, Junjie Jian, Xinyu Chang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 5, pp. 056205-056205
Open Access | Times Cited: 5
Review on Fault Diagnosis and Fault-Tolerant Control Scheme for Robotic Manipulators: Recent Advances in Ai, Machine Learning, and Digital Twin
Md Muzakkir Quamar, Ali Nasir
(2024)
Open Access | Times Cited: 5
Optimizing Milk Pasteurization Diagnosis Through Deep Q-Networks and Digital Twin Technology
Ouahab Kadri, Adel Abdelhadi
International Journal of Web Services Research (2025) Vol. 21, Iss. 1, pp. 1-22
Open Access
Enhancing quality inspection in automotive manufacturing through deep learning and transfer learning
Abdelhamid El Wahabi, Ayoub Mesquiny, Omid Ahmadi, et al.
Neural Computing and Applications (2025)
Closed Access
A digital twin library of mechanical transmission system for the application of small sample fault diagnosis problem
Xianglong Meng, Tianliang Hu, Jinfeng Li, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 6, pp. 066125-066125
Closed Access | Times Cited: 4
Explainable AI (XAI) Techniques for Convolutional Neural Network-Based Classification of Drilled Holes in Melamine Faced Chipboard
Alexander Sieradzki, Jakub Bednarek, Albina Jegorowa, et al.
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7462-7462
Open Access | Times Cited: 4
A Deep Transfer Learning-Based Visual Inspection System for Assembly Defects in Similar Types of Manual Tool Products
Hong-Dar Lin, Hang Wu, Chou-Hsien Lin
Sensors (2025) Vol. 25, Iss. 6, pp. 1645-1645
Open Access
Convolutional-Transformer Model with Long-Range Temporal Dependencies for Bearing Fault Diagnosis Using Vibration Signals
Hosameldin Ahmed, Asoke K. Nandi
Machines (2023) Vol. 11, Iss. 7, pp. 746-746
Open Access | Times Cited: 10
Few-Shot Learning Approaches for Fault Diagnosis Using Vibration Data: A Comprehensive Review
Xiaoxia Liang, Ming Zhang, Guojin Feng, et al.
Sustainability (2023) Vol. 15, Iss. 20, pp. 14975-14975
Open Access | Times Cited: 8
Bearing Fault Diagnosis Method Based on Improved Singular Value Decomposition Package
Huibin Zhu, Zhangming He, Yaqi Xiao, et al.
Sensors (2023) Vol. 23, Iss. 7, pp. 3759-3759
Open Access | Times Cited: 5
Hybrid Multi-model Feature Fusion-Based Vibration Monitoring for Rotating Machine Fault Diagnosis
Rajvardhan Jigyasu, Vivek Shrivastava, Sachin Singh
Journal of Vibration Engineering & Technologies (2023) Vol. 12, Iss. 3, pp. 2791-2810
Closed Access | Times Cited: 5
Research and Application of Deep Learning Based on Transfer Learning in Image Classification Tasks
Jingyuan Bai
(2024)
Closed Access | Times Cited: 1
Enhancing Fault Diagnosis in Industrial Processes through Adversarial Task Augmented Sequential Meta-Learning
Dexin Sun, Yunsheng Fan, Guofeng Wang
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4433-4433
Open Access | Times Cited: 1
Domain adaptation via gamma, Weibull, and lognormal distributions for fault detection in chemical and energy processes
Lingkai Yang, Jian Cheng, Yi Luo, et al.
The Canadian Journal of Chemical Engineering (2024)
Closed Access | Times Cited: 1
RETRACTED: Supervisory Control and Data Acquisition for Fault Diagnosis of Wind Turbines via Deep Transfer Learning
Silvio Simani, Saverio Farsoni, Paolo Castaldi
Energies (2023) Vol. 16, Iss. 9, pp. 3644-3644
Open Access | Times Cited: 3
Real-time robust bearing fault detection using scattergram-driven hybrid CNN-SVM
S. K. Mitra, Chiranjib Koley
Electrical Engineering (2023) Vol. 106, Iss. 3, pp. 3615-3625
Closed Access | Times Cited: 3
Data–Driven Wake Steering Control for a Simulated Wind Farm Model
Silvio Simani, Saverio Farsoni, Paolo Castaldi
International Journal of Robotics and Automation Technology (2023) Vol. 10, pp. 14-26
Open Access | Times Cited: 2
Research on Bearing Variable Condition Fault Diagnosis Based on RDADNN
Zhenzhen Jin, Yingqian Sun
Journal of Failure Analysis and Prevention (2023) Vol. 23, Iss. 4, pp. 1663-1674
Closed Access | Times Cited: 2
Gradient-Oriented Prioritization in Meta-Learning for Enhanced Few-Shot Fault Diagnosis in Industrial Systems
Dexin Sun, Yunsheng Fan, Guofeng Wang
Applied Sciences (2023) Vol. 14, Iss. 1, pp. 181-181
Open Access | Times Cited: 2
AdaClass filter and its application in bearing fault diagnosis
Hanyu Zhang, Yuntao Li, Xin Zhang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 4, pp. 045033-045033
Open Access
A Swin Transformer-Based Fault Migration and Diagnosis Approach for Gearboxes
Yan Zhang, Xifeng Wang, Zhe Wu, et al.
(2024)
Closed Access
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