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:

Simulation in industry 4.0: A state-of-the-art review
William de Paula Ferreira, Fabiano Armellini, Luis Antonio de Santa-Eulália
Computers & Industrial Engineering (2020) Vol. 149, pp. 106868-106868
Open Access | Times Cited: 246

Showing 1-25 of 246 citing articles:

Food Logistics 4.0: Opportunities and Challenges
Sandeep Jagtap, Farah Bader, Guillermo García-García, et al.
Logistics (2020) Vol. 5, Iss. 1, pp. 2-2
Open Access | Times Cited: 149

Industry 4.0 and supply chain performance: A systematic literature review of the benefits, challenges, and critical success factors of 11 core technologies
Fakhreddin Fakhrai Rad, Pejvak Oghazi, Maximilian Palmié, et al.
Industrial Marketing Management (2022) Vol. 105, pp. 268-293
Open Access | Times Cited: 128

A comprehensive study on current and future trends towards the characteristics and enablers of industry 4.0
Niharika Karnik, Urvi Bora, Karan Bhadri, et al.
Journal of Industrial Information Integration (2021) Vol. 27, pp. 100294-100294
Closed Access | Times Cited: 123

Human resources management 4.0: Literature review and trends
Leonardo Breno Pessoa da Silva, Ramon Soltovski, Joseane Pontes, et al.
Computers & Industrial Engineering (2022) Vol. 168, pp. 108111-108111
Open Access | Times Cited: 122

Exploring the potential of 3D scanning in Industry 4.0: An overview
Abid Haleem, Mohd Javaid, Ravi Pratap Singh, et al.
International Journal of Cognitive Computing in Engineering (2022) Vol. 3, pp. 161-171
Open Access | Times Cited: 73

Digital twin-driven smart supply chain
Lu Wang, Tianhu Deng, Zuo‐Jun Max Shen, et al.
Frontiers of Engineering Management (2022) Vol. 9, Iss. 1, pp. 56-70
Open Access | Times Cited: 69

From Corrective to Predictive Maintenance—A Review of Maintenance Approaches for the Power Industry
Marek Molęda, Bożena Małysiak-Mrozek, Weiping Ding, et al.
Sensors (2023) Vol. 23, Iss. 13, pp. 5970-5970
Open Access | Times Cited: 69

Accelerating the renewable energy sector through Industry 4.0: Optimization opportunities in the digital revolution
Vaishnavi Pandey, A. Sircar, Namrata Bist, et al.
International Journal of Innovation Studies (2023) Vol. 7, Iss. 2, pp. 171-188
Open Access | Times Cited: 60

Simulation optimization applied to production scheduling in the era of industry 4.0: A review and future roadmap
Amir Ghasemi, Fatemeh Farajzadeh, Cathal Heavey, et al.
Journal of Industrial Information Integration (2024) Vol. 39, pp. 100599-100599
Open Access | Times Cited: 20

A systematic framework to reduce urban embodied carbon emissions using urban scale simulation
Siavash Ghorbany, Ming Hu
npj Urban Sustainability (2025) Vol. 5, Iss. 1
Open Access | Times Cited: 1

Analysis of Industry 4.0 challenges using best worst method: A case study
Vishal Ashok Wankhede, S. Vinodh
Computers & Industrial Engineering (2021) Vol. 159, pp. 107487-107487
Closed Access | Times Cited: 100

Advanced technologies and international business: A multidisciplinary analysis of the literature
Ali Ahi, Noemi Sinkovics, Yelnur Shildibekov, et al.
International Business Review (2021) Vol. 31, Iss. 4, pp. 101967-101967
Open Access | Times Cited: 79

Extending the lean value stream mapping to the context of Industry 4.0: An agent-based technology approach
William de Paula Ferreira, Fabiano Armellini, Luis Antonio de Santa-Eulália, et al.
Journal of Manufacturing Systems (2022) Vol. 63, pp. 1-14
Open Access | Times Cited: 59

State of the Art and Future Directions of Digital Twins for Production Logistics: A Systematic Literature Review
Alexander Kaiblinger, Manuel Woschank
Applied Sciences (2022) Vol. 12, Iss. 2, pp. 669-669
Open Access | Times Cited: 43

Integration of Maintenance Management System Functions with Industry 4.0 Technologies and Features—A Review
Basheer Shaheen, István Németh
Processes (2022) Vol. 10, Iss. 11, pp. 2173-2173
Open Access | Times Cited: 41

MAAT: a novel ensemble approach to addressing fairness and performance bugs for machine learning software
Zhenpeng Chen, Jie M. Zhang, Federica Sarro, et al.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (2022)
Open Access | Times Cited: 38

A machine learning digital twin approach for critical process parameter prediction in a catalyst manufacturing line
Matteo Perno, Lars Hvam, Anders Haug
Computers in Industry (2023) Vol. 151, pp. 103987-103987
Open Access | Times Cited: 23

A Framework for Sustainable Manufacturing: Integrating Industry 4.0 Technologies with Industry 5.0 Values
Alejandro Manuel Martín-Gómez, Alejandro Agote-Garrido, Juan Ramón Lama-Ruiz
Sustainability (2024) Vol. 16, Iss. 4, pp. 1364-1364
Open Access | Times Cited: 11

An integrative review exploring the development of sustainable product design in the technological context of Industry 4.0
Jyh-Rong Chou
Advanced Engineering Informatics (2024) Vol. 62, pp. 102689-102689
Closed Access | Times Cited: 9

Process intensification 4.0: A new approach for attaining new, sustainable and circular processes enabled by machine learning
Enrique A. López-Guajardo, Fernando Delgado‐Licona, A. Alvarez, et al.
Chemical Engineering and Processing - Process Intensification (2021) Vol. 180, pp. 108671-108671
Closed Access | Times Cited: 50

The fourth industrial revolution of supply chains: A tertiary study
João Barata
Journal of Engineering and Technology Management (2021) Vol. 60, pp. 101624-101624
Open Access | Times Cited: 44

The impact of Industry 4.0 on bottleneck analysis in production and manufacturing: Current trends and future perspectives
Ehsan Mahmoodi, Masood Fathi, Morteza Ghobakhloo
Computers & Industrial Engineering (2022) Vol. 174, pp. 108801-108801
Open Access | Times Cited: 36

A framework for identifying and analysing industry 4.0 scenarios
William de Paula Ferreira, Fabiano Armellini, Luis Antonio de Santa-Eulália, et al.
Journal of Manufacturing Systems (2022) Vol. 65, pp. 192-207
Open Access | Times Cited: 33

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: 32

Effectiveness of virtual reality in discrete event simulation models for manufacturing systems
Víctor Alejandro Huerta-Torruco, Óscar Hernández-Uribe, Leonor Adriana Cárdenas-Robledo, et al.
Computers & Industrial Engineering (2022) Vol. 168, pp. 108079-108079
Closed Access | Times Cited: 27

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