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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:

Tackling Faults in the Industry 4.0 Era—A Survey of Machine-Learning Solutions and Key Aspects
Angelos Angelopoulos, Emmanouel T. Michailidis, Νικόλαος Νομικός, et al.
Sensors (2019) Vol. 20, Iss. 1, pp. 109-109
Open Access | Times Cited: 280

Showing 1-25 of 280 citing articles:

Future of industry 5.0 in society: human-centric solutions, challenges and prospective research areas
Amr Adel
Journal of Cloud Computing Advances Systems and Applications (2022) Vol. 11, Iss. 1
Open Access | Times Cited: 459
Artificial Intelligence Applications for Industry 4.0: A Literature-Based Study
Mohd Javaid, Abid Haleem, Ravi Pratap Singh, et al.
Journal of Industrial Integration and Management (2021) Vol. 07, Iss. 01, pp. 83-111
Closed Access | Times Cited: 317
Industry 4.0 Technologies for Manufacturing Sustainability: A Systematic Review and Future Research Directions
Anbesh Jamwal, Rajeev Agrawal, Monica Sharma, et al.
Applied Sciences (2021) Vol. 11, Iss. 12, pp. 5725-5725
Open Access | Times Cited: 298
Industry 4.0, a revolution that requires technology and national strategies
Fengwei Yang, Sai Gu
Complex & Intelligent Systems (2021) Vol. 7, Iss. 3, pp. 1311-1325
Open Access | Times Cited: 264
Significance of sensors for industry 4.0: Roles, capabilities, and applications
Mohd Javaid, Abid Haleem, Ravi Pratap Singh, et al.
Sensors International (2021) Vol. 2, pp. 100110-100110
Open Access | Times Cited: 222
Industry 4.0 enables supply chain resilience and supply chain performance
Ghulam Qader, Muhammad Junaid, Qamar Abbas, et al.
Technological Forecasting and Social Change (2022) Vol. 185, pp. 122026-122026
Closed Access | Times Cited: 156
The Duo of Artificial Intelligence and Big Data for Industry 4.0: Applications, Techniques, Challenges, and Future Research Directions
Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Kashif Ahmad, et al.
IEEE Internet of Things Journal (2021) Vol. 9, Iss. 15, pp. 12861-12885
Closed Access | Times Cited: 146
Exploring impact and features of machine vision for progressive industry 4.0 culture
Mohd Javaid, Abid Haleem, Ravi Pratap Singh, et al.
Sensors International (2021) Vol. 3, pp. 100132-100132
Open Access | Times Cited: 114
A Review of Cybersecurity Guidelines for Manufacturing Factories in Industry 4.0
M. Valentin, Patrick Sondi, Éric Ramat
IEEE Access (2021) Vol. 9, pp. 23235-23263
Open Access | Times Cited: 105
Enabling flexible manufacturing system (FMS) through the applications of industry 4.0 technologies
Mohd Javaid, Abid Haleem, Ravi Pratap Singh, et al.
Internet of Things and Cyber-Physical Systems (2022) Vol. 2, pp. 49-62
Open Access | Times Cited: 95
Artificial Intelligence-Based Cyber Security in the Context of Industry 4.0—A Survey
Antonio João Gonçalves de Azambuja, Christian Plesker, Klaus Schützer, et al.
Electronics (2023) Vol. 12, Iss. 8, pp. 1920-1920
Open Access | Times Cited: 84
A Review of Real-Time Fault Diagnosis Methods for Industrial Smart Manufacturing
Wenhao Yan, Jing Wang, Shan Lu, et al.
Processes (2023) Vol. 11, Iss. 2, pp. 369-369
Open Access | Times Cited: 45
MACHINE LEARNING'S INFLUENCE ON SUPPLY CHAIN AND LOGISTICS OPTIMIZATION IN THE OIL AND GAS SECTOR: A COMPREHENSIVE ANALYSIS
Agnes Clare Odimarha, Sodrudeen Abolore Ayodeji, Emmanuel Adeyemi Abaku
Computer Science & IT Research Journal (2024) Vol. 5, Iss. 3, pp. 725-740
Open Access | Times Cited: 42
Optimizing renewable energy systems through artificial intelligence: Review and future prospects
Kingsley Ukoba, Kehinde O. Olatunji, Eyitayo Adeoye, et al.
Energy & Environment (2024) Vol. 35, Iss. 7, pp. 3833-3879
Open Access | Times Cited: 35
Intelligent Productivity Transformation
Bojing Liu, Mengxiang Li, Zihui Ji, et al.
Journal of Organizational and End User Computing (2024) Vol. 36, Iss. 1, pp. 1-27
Open Access | Times Cited: 17
AI-Based Decision Support Systems in Industry 4.0, A Review
Mohsen Soori, Fooad Karimi Ghaleh Jough, Roza Dastres, et al.
Journal of Economy and Technology (2024)
Open Access | Times Cited: 17
Predictive maintenance in Industry 4.0: A systematic multi-sector mapping
Panagiotis Mallioris, Eirini Aivazidou, Dimitrios Bechtsis
CIRP journal of manufacturing science and technology (2024) Vol. 50, pp. 80-103
Open Access | Times Cited: 16
A novel energy optimization framework to enhance the performance of sensor nodes in Industry 4.0
S. Sivakumar, J. Logeshwaran, Raju Kannadasan, et al.
Energy Science & Engineering (2024) Vol. 12, Iss. 3, pp. 835-859
Open Access | Times Cited: 15
Cherish Data Privacy and Human Rights in the Digital Age
Bhupinder Singh
Advances in human and social aspects of technology book series (2024), pp. 199-226
Closed Access | Times Cited: 15
They misused me! Digital literacy’s dual role in AI marketing manipulation and unethical young consumer behavior
Usman Ahmad Qadri, Alsadig Mohamed Ahmed Moustafa, Mazuri Abd Ghani
Young Consumers Insight and Ideas for Responsible Marketers (2025)
Closed Access | Times Cited: 1
An analysis of process fault diagnosis methods from safety perspectives
Rajeevan Arunthavanathan, Faisal Khan, Salim Ahmed, et al.
Computers & Chemical Engineering (2020) Vol. 145, pp. 107197-107197
Closed Access | Times Cited: 122
Role of artificial intelligence in rotor fault diagnosis: a comprehensive review
Aneesh G. Nath, Sandeep S. Udmale, Sanjay Kumar Singh
Artificial Intelligence Review (2020) Vol. 54, Iss. 4, pp. 2609-2668
Closed Access | Times Cited: 112
An Artificial Intelligence-Based Collaboration Approach in Industrial IoT Manufacturing: Key Concepts, Architectural Extensions and Potential Applications
Panagiotis Trakadas, Pieter Simoens, Panagiotis K. Gkonis, et al.
Sensors (2020) Vol. 20, Iss. 19, pp. 5480-5480
Open Access | Times Cited: 107
End-to-end deep learning framework for printed circuit board manufacturing defect classification
Abhiroop Bhattacharya, Sylvain G. Cloutier
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 59
Human-centric zero-defect manufacturing: State-of-the-art review, perspectives, and challenges
Paul Kengfai Wan, Torbjørn Langedahl Leirmo
Computers in Industry (2022) Vol. 144, pp. 103792-103792
Open Access | Times Cited: 51
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