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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:

Digital twins-based remote semi-physical commissioning of flow-type smart manufacturing systems
Jiewu Leng, Man Zhou, Yuxuan Xiao, et al.
Journal of Cleaner Production (2021) Vol. 306, pp. 127278-127278
Open Access | Times Cited: 143

Showing 1-25 of 143 citing articles:

Industry 5.0: Prospect and retrospect
Jiewu Leng, Weinan Sha, Baicun Wang, et al.
Journal of Manufacturing Systems (2022) Vol. 65, pp. 279-295
Closed Access | Times Cited: 672
Digital twins-based smart manufacturing system design in Industry 4.0: A review
Jiewu Leng, Dewen Wang, Weiming Shen, et al.
Journal of Manufacturing Systems (2021) Vol. 60, pp. 119-137
Closed Access | Times Cited: 494
Application of automation for in-line quality inspection, a zero-defect manufacturing approach
Victor Azamfirei, Foivos Psarommatis, Yvonne Lagrosen
Journal of Manufacturing Systems (2023) Vol. 67, pp. 1-22
Open Access | Times Cited: 128
Digital twin for smart manufacturing, A review
Mohsen Soori, Behrooz Arezoo, Roza Dastres
Sustainable Manufacturing and Service Economics (2023) Vol. 2, pp. 100017-100017
Open Access | Times Cited: 119
Towards new-generation human-centric smart manufacturing in Industry 5.0: A systematic review
Chao Zhang, Zenghui Wang, Guanghui Zhou, et al.
Advanced Engineering Informatics (2023) Vol. 57, pp. 102121-102121
Closed Access | Times Cited: 116
Blockchained smart contract pyramid-driven multi-agent autonomous process control for resilient individualised manufacturing towards Industry 5.0
Jiewu Leng, Weinan Sha, Zisheng Lin, et al.
International Journal of Production Research (2022) Vol. 61, Iss. 13, pp. 4302-4321
Closed Access | Times Cited: 106
Industry 5.0 implications for inclusive sustainable manufacturing: An evidence-knowledge-based strategic roadmap
Morteza Ghobakhloo, Mohammad Iranmanesh, Behzad Foroughi, et al.
Journal of Cleaner Production (2023) Vol. 417, pp. 138023-138023
Open Access | Times Cited: 105
Towards resilience in Industry 5.0: A decentralized autonomous manufacturing paradigm
Jiewu Leng, Yuanwei Zhong, Zisheng Lin, et al.
Journal of Manufacturing Systems (2023) Vol. 71, pp. 95-114
Closed Access | Times Cited: 105
Changes and improvements in Industry 5.0: A strategic approach to overcome the challenges of Industry 4.0
Moin Khan, Abid Haleem, Mohd Javaid
Green Technologies and Sustainability (2023) Vol. 1, Iss. 2, pp. 100020-100020
Open Access | Times Cited: 81
Options for and Challenges of Employing Digital Twins in Construction Management
Tareq Salem, Mihai Dragomir
Applied Sciences (2022) Vol. 12, Iss. 6, pp. 2928-2928
Open Access | Times Cited: 74
Digital twins-based flexible operating of open architecture production line for individualized manufacturing
Jiewu Leng, Ziying Chen, Weinan Sha, et al.
Advanced Engineering Informatics (2022) Vol. 53, pp. 101676-101676
Closed Access | Times Cited: 72
ManuChain II: Blockchained Smart Contract System as the Digital Twin of Decentralized Autonomous Manufacturing Toward Resilience in Industry 5.0
Jiewu Leng, Xiaofeng Zhu, Zhiqiang Huang, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 8, pp. 4715-4728
Closed Access | Times Cited: 69
Unlocking the power of industrial artificial intelligence towards Industry 5.0: Insights, pathways, and challenges
Jiewu Leng, Xiaofeng Zhu, Zhiqiang Huang, et al.
Journal of Manufacturing Systems (2024) Vol. 73, pp. 349-363
Closed Access | Times Cited: 56
Digital twin-driven real-time planning, monitoring, and controlling in food supply chains
Pratik Maheshwari, Sachin Kamble, Amine Belhadi, et al.
Technological Forecasting and Social Change (2023) Vol. 195, pp. 122799-122799
Open Access | Times Cited: 45
A dynamic holographic modelling method of digital twin scenes for bridge construction
Jianlin Wu, Jun Zhu, Jinbin Zhang, et al.
International Journal of Digital Earth (2023) Vol. 16, Iss. 1, pp. 2404-2425
Open Access | Times Cited: 42
Infrastructure digital twin technology: A new paradigm for future construction industry
Taofeeq Durojaye Moshood, James Olabode Bamidele Rotimi, Wajiha Shahzad, et al.
Technology in Society (2024) Vol. 77, pp. 102519-102519
Open Access | Times Cited: 28
Review of manufacturing system design in the interplay of Industry 4.0 and Industry 5.0 (Part II): Design processes and enablers
Jiewu Leng, Jun‐feng Guo, Junxing Xie, et al.
Journal of Manufacturing Systems (2025) Vol. 79, pp. 528-562
Closed Access | Times Cited: 3
A multi-access edge computing enabled framework for the construction of a knowledge-sharing intelligent machine tool swarm in Industry 4.0
Chao Zhang, Guanghui Zhou, Jinɡjinɡ Li, et al.
Journal of Manufacturing Systems (2022) Vol. 66, pp. 56-70
Closed Access | Times Cited: 57
Rapid construction method of equipment model for discrete manufacturing digital twin workshop system
Yueze Zhang, Caixia Zhang, Jun Yan, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 75, pp. 102309-102309
Closed Access | Times Cited: 49
Secure Blockchain Middleware for Decentralized IIoT towards Industry 5.0: A Review of Architecture, Enablers, Challenges, and Directions
Jiewu Leng, Ziying Chen, Zhiqiang Huang, et al.
Machines (2022) Vol. 10, Iss. 10, pp. 858-858
Open Access | Times Cited: 47
An overview and thematic analysis of research on cities and the COVID-19 pandemic: Toward just, resilient, and sustainable urban planning and design
Ayyoob Sharifi
iScience (2022) Vol. 25, Iss. 11, pp. 105297-105297
Open Access | Times Cited: 45
Digital twin-driven virtual commissioning of machine tool
Jinjiang Wang, Xiaotong Niu, Robert X. Gao, et al.
Robotics and Computer-Integrated Manufacturing (2022) Vol. 81, pp. 102499-102499
Closed Access | Times Cited: 38
Requirements and design patterns for adaptive, autonomous, and context-aware digital twins in industry 4.0 digital factories
Paolo Bellavista, Nicola Bicocchi, Mattia Fogli, et al.
Computers in Industry (2023) Vol. 149, pp. 103918-103918
Open Access | Times Cited: 32
Big data-driven correlation analysis based on clustering for energy-intensive manufacturing industries
Shuaiyin Ma, Yuming Huang, Yang Liu, et al.
Applied Energy (2023) Vol. 349, pp. 121608-121608
Open Access | Times Cited: 29
The adoption of digital technologies in the manufacturing world and their evaluation: A systematic review of real-life case studies and future research agenda
Leonardo Maretto, Maurizio Faccio, Daria Battini
Journal of Manufacturing Systems (2023) Vol. 68, pp. 576-600
Open Access | Times Cited: 27
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