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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:

A comparison of fog and cloud computing cyber-physical interfaces for Industry 4.0 real-time embedded machine learning engineering applications
Peter O’Donovan, Colm Gallagher, Kevin Leahy, et al.
Computers in Industry (2019) Vol. 110, pp. 12-35
Closed Access | Times Cited: 124

Showing 26-50 of 124 citing articles:

A tool wear monitoring and prediction system based on multiscale deep learning models and fog computing
Huihui Qiao, Tao Wang, Peng Wang
The International Journal of Advanced Manufacturing Technology (2020) Vol. 108, Iss. 7-8, pp. 2367-2384
Closed Access | Times Cited: 60
Quantifying SWOT analysis for cloud adoption using FAHP-DEMATEL approach: evidence from the manufacturing sector
Mahak Sharma, Rajat Sehrawat
Journal of Enterprise Information Management (2020) Vol. 33, Iss. 5, pp. 1111-1152
Closed Access | Times Cited: 59
A Middleware Platform for Intelligent Automation: An Industrial Prototype Implementation
Tiago Coito, Miguel S. E. Martins, Joaquim L. Viegas, et al.
Computers in Industry (2020) Vol. 123, pp. 103329-103329
Open Access | Times Cited: 51
Service Computing for Industry 4.0: State of the Art, Challenges, and Research Opportunities
Frank Siqueira, Joseph G. Davis
ACM Computing Surveys (2021) Vol. 54, Iss. 9, pp. 1-38
Closed Access | Times Cited: 41
The Nexus of Industry 4.0 and Circular Procurement: A Systematic Literature Review and Research Agenda
Abderahman Rejeb, Andrea Appolloni
Sustainability (2022) Vol. 14, Iss. 23, pp. 15633-15633
Open Access | Times Cited: 33
Bibliographical Analysis of Artificial Intelligence Learning in Higher Education
Mohammed Ali, Mohammed Kayed Abdel-Haq
Advances in educational technologies and instructional design book series (2020), pp. 36-52
Open Access | Times Cited: 46
Big data, industry 4.0 and cyber-physical systems integration: A smart industry context
Harpreet Singh
Materials Today Proceedings (2020) Vol. 46, pp. 157-162
Closed Access | Times Cited: 45
Smart manufacturing: a framework for managing performance
Shreyanshu Parhi, Kanchan Joshi, Milind Akarte
International Journal of Computer Integrated Manufacturing (2020) Vol. 34, Iss. 3, pp. 227-256
Closed Access | Times Cited: 40
Symbiotic Relationship Between Machine Learning and Industry 4.0: A Review
Mohd Azeem, Abid Haleem, Mohd Javaid
Journal of Industrial Integration and Management (2021) Vol. 07, Iss. 03, pp. 401-433
Closed Access | Times Cited: 35
Multi-agent deep reinforcement learning for task offloading in group distributed manufacturing systems
Jianyu Xiong, Peng Guo, Yi Wang, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 118, pp. 105710-105710
Closed Access | Times Cited: 24
Development of an autonomous Internet of Things system for distributed production of boxed flat sheet metal parts in railcar manufacturing
Alice Elizabeth Matenga, Khumbulani Mpofu
The Journal of Engineering (2025) Vol. 2025, Iss. 1
Open Access
Navigating Pharma 4.0
Inas Al Khatib, Mahmoud Awad, Abdulrahim Shamayleh
International Journal of Service Science Management Engineering and Technology (2025) Vol. 15, Iss. 1, pp. 1-35
Open Access
Model Compression in Low Performance Edge Computing
Jingxuan Zhang, Yue Li, Jihong Wen, et al.
(2025), pp. 140-150
Closed Access
Evaluating performance indicators of lean-industry 4.0 integration in heavy fabrication sector: a structural equation modelling approach
R. Karthikeyan, J. Jerald, L. Rohan
International Journal on Interactive Design and Manufacturing (IJIDeM) (2025)
Closed Access
Intelligent Sensors for Real-Time Decision-Making
Tiago Coito, Bernardo Firme, Miguel S. E. Martins, et al.
Automation (2021) Vol. 2, Iss. 2, pp. 62-82
Open Access | Times Cited: 30
Big Data Analytic Framework for Organizational Leverage
Sanjay Mathrani, Xusheng Lai
Applied Sciences (2021) Vol. 11, Iss. 5, pp. 2340-2340
Open Access | Times Cited: 27
Evaluation of corporate requirements for smart manufacturing systems using predictive analytics
Ravi Sharma, Balázs Villányi
Internet of Things (2022) Vol. 19, pp. 100554-100554
Open Access | Times Cited: 20
Implications from Legacy Device Environments on the Conceptional Design of Machine Learning Models in Manufacturing
Bastian Engelmann, Anna-Maria Schmitt, Lukas Theilacker, et al.
Journal of Manufacturing and Materials Processing (2024) Vol. 8, Iss. 1, pp. 15-15
Open Access | Times Cited: 4
Navigating contemporary challenges and future prospects in digital industry evolution
Maryam Gallab, Mario Di Nardo, Lina Naciri
Deleted Journal (2024) Vol. 6, Iss. 5
Open Access | Times Cited: 4
A data flow framework to support the selection and integration of digital technologies for smart production
Natalie Agerskans, Mohammad Ashjaei, Jessica Bruch, et al.
International Journal of Production Research (2025), pp. 1-18
Open Access
Fog Assisted 6TiSCH Tri-Layer Network Architecture for Adaptive Scheduling and Energy-Efficient Offloading Using Rank-Based Q-Learning in Smart Industries
Ahsan Rafiq, Ping Wang, Min Wei, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 22, pp. 25489-25507
Closed Access | Times Cited: 25
Decision-making in smart manufacturing: A framework for performance measurement
Shreyanshu Parhi, Kanchan Joshi, Milind Akarte
International Journal of Computer Integrated Manufacturing (2022) Vol. 36, Iss. 2, pp. 190-218
Closed Access | Times Cited: 16
Data Conceptual Model for Smart Poultry Farm Management System
Nikolajs Bumanis, Irina Arhipova, L. Paura, et al.
Procedia Computer Science (2022) Vol. 200, pp. 517-526
Open Access | Times Cited: 16
Enhancing Industrial Cyber Security, Focusing on Formulating a Practical Strategy for Making Predictions through Machine Learning Tools in Cloud Computing Environment
Zaheer Abbas, Seunghwan Myeong
Electronics (2023) Vol. 12, Iss. 12, pp. 2650-2650
Open Access | Times Cited: 9
Application of Structural Equation Modelling to Cybersecurity Risk Analysis in the Era of Industry 4.0
Miroslav Gombár, Alena Vagaská, Antonín Korauš, et al.
Mathematics (2024) Vol. 12, Iss. 2, pp. 343-343
Open Access | Times Cited: 3

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