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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:

CNN-Based Fault Detection for Smart Manufacturing
Dhiraj Neupane, Yunsu Kim, Jongwon Seok, et al.
Applied Sciences (2021) Vol. 11, Iss. 24, pp. 11732-11732
Open Access | Times Cited: 23

Showing 23 citing articles:

One-dimensional VGGNet for high-dimensional data
Sheng Feng, Liping Zhao, Haiyan Shi, et al.
Applied Soft Computing (2023) Vol. 135, pp. 110035-110035
Closed Access | Times Cited: 34
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: 29
Two-dimensional temperature field prediction with in-situ data in metal additive manufacturing using physics-informed neural networks
Pouyan Sajadi, Mostafa Rahmani Dehaghani, Yifan Tang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 150, pp. 110636-110636
Open Access
Moving toward Smart Manufacturing with an Autonomous Pallet Racking Inspection System Based on MobileNetV2
Muhammad Hussain, Tianhua Chen, Richard Hill
Journal of Manufacturing and Materials Processing (2022) Vol. 6, Iss. 4, pp. 75-75
Open Access | Times Cited: 22
Enhancing Production Efficiency and Sustainability Through Smart Manufacturing
Kali Charan Rath, Lakshmi Prasad Panda, Subhendu Kumar Rath, et al.
IGI Global eBooks (2025), pp. 11-32
Closed Access
Custom Lightweight Convolutional Neural Network Architecture for Automated Detection of Damaged Pallet Racking in Warehousing & Distribution Centers
Muhammad Hussain, Richard Hill
IEEE Access (2023) Vol. 11, pp. 58879-58889
Open Access | Times Cited: 11
Delamination Detection Framework for the Imbalanced Dataset in Laminated Composite Using Wasserstein Generative Adversarial Network-Based Data Augmentation
S. Kim, Muhammad Muzammil Azad, Jinwoo Song, et al.
Applied Sciences (2023) Vol. 13, Iss. 21, pp. 11837-11837
Open Access | Times Cited: 11
Weld defect detection with convolutional neural network: an application of deep learning
Manu S. Madhav, Suhas Suresh Ambekar, Manoj Hudnurkar
Annals of Operations Research (2023)
Closed Access | Times Cited: 7
Smart Manufacturing and Industry 4.0
Ahmad Barari, Marcos de Sales Guerra Tsuzuki
Applied Sciences (2023) Vol. 13, Iss. 3, pp. 1545-1545
Open Access | Times Cited: 5
An Overview of Supervised Machine Learning Approaches for Applications in Active Distribution Networks
Sepideh Radhoush, Bradley M. Whitaker, M.H. Nehrir
Energies (2023) Vol. 16, Iss. 16, pp. 5972-5972
Open Access | Times Cited: 5
Automated Pallet Racking Examination in Edge Platform Based on MobileNetV2: Towards Smart Manufacturing
Daidi Hu
Journal of Grid Computing (2024) Vol. 22, Iss. 1
Closed Access | Times Cited: 1
Using Transfer Learning and Radial Basis Function Deep Neural Network Feature Extraction to Upgrade Existing Product Fault Detection Systems for Industry 4.0: A Case Study of a Spring Factory
Chee-Hoe Loh, Yi‐Chung Chen, Chwen‐Tzeng Su
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 2913-2913
Open Access | Times Cited: 1
Fault Detection in Machine Bearings Using Deep Learning
A. Vaishnavi, Anju Sharma, Vps Naidu
SAE technical papers on CD-ROM/SAE technical paper series (2024)
Closed Access
A Lightweight Complex-Domain Acoustic Feature Extraction Method for Rotating Machinery Fault Detection
Xiaoyi Wei, Lansa Ding, Dezheng Wang, et al.
Measurement Science and Technology (2024) Vol. 35, Iss. 9, pp. 096208-096208
Closed Access
Identification of Calculous Pyonephrosis by CT-Based Radiomics and Deep Learning
Guanjie Yuan, Lingli Cai, Weinuo Qu, et al.
Bioengineering (2024) Vol. 11, Iss. 7, pp. 662-662
Open Access
A Electric Vehicle Reducer Bearing Fault Diagnosis Method Based on Space-Time Aware Convolution and Transformer Structure
Weilin Li, Ting Liu, Yangming Jiang, et al.
(2024), pp. 163-170
Closed Access
Fault Detection in Collaborative Robots based on Adaptive Hybrid Deep Learning Model
Seung-Hwan Choi
The Journal of Korean Institute of Information Technology (2024) Vol. 22, Iss. 11, pp. 79-88
Closed Access
Multimodal Large Language Model-Based Fault Detection and Diagnosis in Context of Industry 4.0
Khalid Alsaif, Aiiad Albeshri, Maher Khemakhem, et al.
Electronics (2024) Vol. 13, Iss. 24, pp. 4912-4912
Open Access
Application of Convolutional Neural Network to Defect Diagnosis of Drill Bits
Yongchao Yu, Qi Liu, Boon Siew Han, et al.
Applied Sciences (2022) Vol. 12, Iss. 21, pp. 10799-10799
Open Access | Times Cited: 1
Method of Machining Centre Sliding System Fault Detection using Torque Signals and Autoencoder
Damian Augustyn, M. Fidali
Acta Mechanica et Automatica (2023) Vol. 17, Iss. 3, pp. 445-451
Open Access
USING NEURAL NETWORK WITH CONVOLUTION LAYER FOR AUTOMATIC QUALITY INSPECTION
Marija Savković, Nikola Mijailović, Marko Đapan, et al.
(2023), pp. 206-211
Open Access
Multichannel 1D-CNN and Hilbert Transform Based Bearing Fault Classification
Nariman Bouchareb, Billel Bengherbia, Yassine Toumi, et al.
(2023), pp. 1-5
Closed Access
Real-time Bearing fault detection using Intelligent Algorithm combined with Wavelet Transform
Pascal Dore, Saad Chakkor, Ahmed El Oualkadi
(2022), pp. 144-149
Closed Access
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