Leaderboards/Flexible and Reconfigurable Manufacturing Systems

Flexible and Reconfigurable Manufacturing Systems

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Jonas Friederich
University of Southern Denmark
2
Fengwei Yang
University of Warwick
3
Mariana Segovia
Institut Polytechnique de Paris
4
Matteo Perno
Technical University of Denmark
5
Yishuo Jiang
Cornell University
6
Marcel Panzer
University of Potsdam
7
Héctor Cañas
Universidad Don Bosco
8
Igiri Onaji
University of Sheffield
9
Petar Radanliev
University of Oxford
10
Carlos Henrique dos Santos
Universidade Federal de Alfenas

Rising Stars Papers

1
AI Ethics: Integrating Transparency, Fairness, and Privacy in AI Development
Applied Artificial Intelligence|2025
167 cit.
2
Ethics and responsible AI deployment
Frontiers in Artificial Intelligence|2024
123 cit.
3
Artificial intelligence and quantum cryptography
Journal of Analytical Science & Technology|2024
72 cit.
4
Digital security by design
Security Journal|2024
66 cit.
5
Cyber diplomacy: defining the opportunities for cybersecurity and risks from Artificial Intelligence, IoT, Blockchains, and Quantum Computing
Journal of Cyber Security Technology|2024
65 cit.
6
Digital twin-enabled synchronized construction management: A roadmap from construction 4.0 towards future prospect
Developments in the Built Environment|2024
45 cit.
7
Artificial intelligence: reflecting on the past and looking towards the next paradigm shift
Journal of Experimental & Theoretical Artificial Intelligence|2024
43 cit.
8
Integrated cybersecurity for metaverse systems operating with artificial intelligence, blockchains, and cloud computing
Frontiers in Blockchain|2024
39 cit.
9
The rise and fall of cryptocurrencies: defining the economic and social values of blockchain technologies, assessing the opportunities, and defining the financial and cybersecurity risks of the Metaverse
Financial Innovation|2024
31 cit.
10
Data‐driven out‐of‐order model for synchronized planning, scheduling, and execution in modular construction fit‐out management
Computer-Aided Civil and Infrastructure Engineering|2024
21 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Ling Li
Foshan Maternity and Child Health Care Hospital
2
Marco Rüsch
University of St. Gallen
3
Luiz Felipe Pierin Ramos
Pontifícia Universidade Católica do Paraná
4
Cunzhi Xu
Zhejiang Institute of Mechanical and Electrical Engineering
5
Shradha Gawankar
National Institute of Industrial Engineering
6
Lifeng Zhou
Drexel University
7
Baicun Wang
Xijing University
8
Boxing Yin
Jiangxi University of Science and Technology
9
Rodolphe Barbaray
Exxelia (France)
10
Pai Zheng
Hong Kong Polytechnic University

Emerging Leaders Papers

1
Human Digital Twin in the context of Industry 5.0
Robotics and Computer-Integrated Manufacturing|2023
385 cit.
2
Toward human-centric smart manufacturing: A human-cyber-physical systems (HCPS) perspective
Journal of Manufacturing Systems|2022
341 cit.
3
Maintenance planning recommendation of complex industrial equipment based on knowledge graph and graph neural network
Reliability Engineering & System Safety|2022
135 cit.
4
An LLM-based vision and language cobot navigation approach for Human-centric Smart Manufacturing
Journal of Manufacturing Systems|2024
120 cit.
5
Human Digital Twin (HDT) Driven Human-Cyber-Physical Systems: Key Technologies and Applications
Chinese Journal of Mechanical Engineering|2022
116 cit.
6
Leveraging error-assisted fine-tuning large language models for manufacturing excellence
Robotics and Computer-Integrated Manufacturing|2024
95 cit.
7
A visual reasoning-based approach for mutual-cognitive human-robot collaboration
CIRP Annals|2022
81 cit.
8
Human-object integrated assembly intention recognition for context-aware human-robot collaborative assembly
Advanced Engineering Informatics|2022
75 cit.
9
Integrating large language model and digital twins in the context of industry 5.0: Framework, challenges and opportunities
Robotics and Computer-Integrated Manufacturing|2025
71 cit.
10
A vision-language-guided and deep reinforcement learning-enabled approach for unstructured human-robot collaborative manufacturing task fulfilment
CIRP Annals|2024
50 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
MengChu Zhou
New Jersey Institute of Technology
2
Wilfried Sihn
Fraunhofer Austria
3
A.Y.C. Nee
National University of Singapore
4
Behrad Bagheri
University of Cincinnati
5
Lihui Wang
KTH Royal Institute of Technology
6
Peter Fettke
German Research Centre for Artificial Intelligence
7
Xun Xu
University of Auckland
8
Yoram Koren
University of Michigan
9
Jiafu Wan
South China University of Technology
10
Chunhua Zhang
South China University of Technology

Current Senior Leaders Papers

1
Digital Twin in Industry: State-of-the-Art
IEEE Transactions on Industrial Informatics|2019
3.8k cit.
2
Digital Twin in manufacturing: A categorical literature review and classification
IFAC-PapersOnLine|2018
3.1k cit.
3
Industry 4.0 and Industry 5.0—Inception, conception and perception
Journal of Manufacturing Systems|2021
2.3k cit.
4
The vector field histogram-fast obstacle avoidance for mobile robots
IEEE Transactions on Robotics and Automation|1991
2.3k cit.
5
Reconfigurable Manufacturing Systems
CIRP Annals|1999
2k cit.
6
From cloud computing to cloud manufacturing
Robotics and Computer-Integrated Manufacturing|2011
1.8k cit.
7
A Maturity Model for Assessing Industry 4.0 Readiness and Maturity of Manufacturing Enterprises
Procedia CIRP|2016
1.7k cit.
8
Potential field methods and their inherent limitations for mobile robot navigation
Unknown Journal|2002
1.6k cit.
9
Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues
Robotics and Computer-Integrated Manufacturing|2019
1.5k cit.
10
Implementing Smart Factory of Industrie 4.0: An Outlook
International Journal of Distributed Sensor Networks|2016
1.5k cit.

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