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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 classification in the process industry using polygon generation and deep learning
Mohamed Elhefnawy, Ahmed Ragab, Mohamed-Salah Ouali
Journal of Intelligent Manufacturing (2021) Vol. 33, Iss. 5, pp. 1531-1544
Closed Access | Times Cited: 19

Showing 19 citing articles:

Viral outbreaks detection and surveillance using wastewater-based epidemiology, viral air sampling, and machine learning techniques: A comprehensive review and outlook
Omar M. Abdeldayem, Areeg M. Dabbish, Mahmoud M. Habashy, et al.
The Science of The Total Environment (2021) Vol. 803, pp. 149834-149834
Open Access | Times Cited: 67
Data-driven dynamic causality analysis of industrial systems using interpretable machine learning and process mining
Karim Nadim, Ahmed Ragab, Mohamed-Salah Ouali
Journal of Intelligent Manufacturing (2022) Vol. 34, Iss. 1, pp. 57-83
Open Access | Times Cited: 22
Machine learning-assisted selection of adsorption-based carbon dioxide capture materials
Eslam G. Al-Sakkari, Ahmed Ragab, Terry M.Y. So, et al.
Journal of environmental chemical engineering (2023) Vol. 11, Iss. 5, pp. 110732-110732
Closed Access | Times Cited: 14
Transfer Learning-Based Condition Monitoring of Single Point Cutting Tool
Naveen Venkatesh Sridharan, P. Arun Balaji, M Elangovan, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 21
The Machine Learning Life Cycle in Chemical Operations – Status and Open Challenges
Marco Gärtler, Valentin Khaydarov, Benjamin Klöpper, et al.
Chemie Ingenieur Technik (2021) Vol. 93, Iss. 12, pp. 2063-2080
Closed Access | Times Cited: 19
Data-driven models of crude distillation units for production planning and for operations monitoring
Jiannan Zhu, Chen Fan, Minglei Yang, et al.
Computers & Chemical Engineering (2023) Vol. 177, pp. 108322-108322
Closed Access | Times Cited: 6
SPRBF-ABLS: a novel attention-based broad learning systems with sparse polynomial-based radial basis function neural networks
Jing Wang, Shubin Lyu, C. L. Philip Chen, et al.
Journal of Intelligent Manufacturing (2022) Vol. 34, Iss. 4, pp. 1779-1794
Closed Access | Times Cited: 9
Graphical Feature Construction-Based Deep Learning Model for Fatigue Life Prediction of AM Alloys
Hao Wu, Anbin Wang, Zhiqiang Gan, et al.
Materials (2024) Vol. 18, Iss. 1, pp. 11-11
Open Access | Times Cited: 1
Multiple input self-organizing-map ResNet model for optimization of petroleum refinery conversion units
Jiannan Zhu, Vladimir Mahalec, Fan Chen, et al.
Frontiers of Chemical Science and Engineering (2023) Vol. 17, Iss. 6, pp. 759-771
Closed Access | Times Cited: 3
Multi-output regression using polygon generation and conditional generative adversarial networks
Mohamed Elhefnawy, Mohamed-Salah Ouali, Ahmed Ragab
Expert Systems with Applications (2022) Vol. 203, pp. 117288-117288
Closed Access | Times Cited: 5
Fusion of heterogeneous industrial data using polygon generation & deep learning
Mohamed Elhefnawy, Mohamed-Salah Ouali, Ahmed Ragab, et al.
Results in Engineering (2023) Vol. 19, pp. 101234-101234
Open Access | Times Cited: 2
Polygon generation and video-to-video translation for time-series prediction
Mohamed Elhefnawy, Ahmed Ragab, Mohamed-Salah Ouali
Journal of Intelligent Manufacturing (2022) Vol. 34, Iss. 1, pp. 261-279
Open Access | Times Cited: 3
Single Phase Fault Detection of Induction Motor using Machine Learning Approaches
Udoy Roy Turza, Viswya Deb Das, Shaikh Hasib-Ul Islam, et al.
(2024), pp. 122-127
Closed Access
A novel design of industrial real-time CT system based on sparse-view reconstruction and deep-learning image enhancement
Fang Zheng, Tingjun Wang
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
Novel Design of Industrial Real-Time CT System Based on Sparse-View Reconstruction and Deep-Learning Image Enhancement
Fang Zheng, Tingjun Wang
Electronics (2023) Vol. 12, Iss. 8, pp. 1815-1815
Open Access | Times Cited: 1
A comparative study of different data representations under CNN and a novel integrated FDD architecture
Jia Ren, Tang Lijuan, Hongrui Zou
The Canadian Journal of Chemical Engineering (2022) Vol. 101, Iss. 8, pp. 4571-4586
Closed Access | Times Cited: 2
Deep Learning for Chatter Detection in Machining
Cheick Abdoul Kadir A. Kounta, Lionel Arnaud, Bernard Kamsu Foguem, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 1
Implementing Deep Learning Models in Embedded Systems for Diagnosis Induction Machine
Kevin Barrera, Ángel Sapena-Bañó, Javier Martínez‐Román, et al.
International Journal of Electrical and Computer Engineering Research (2023) Vol. 3, Iss. 1, pp. 7-12
Open Access
Can pretrained networks be used in fault diagnosis of monoblock centrifugal pump?
Arun Balaji M, Naveen Venkatesh Sridharan, N.R. Sakthivel, et al.
Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering (2023)
Closed Access
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