Qiang Liu
Industrial and Manufacturing Engineering · Journal of manufacturing systems · 2017–2021
A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Industrial and Manufacturing Engineering — 52 citations into it; #1,254 of 2,521 by trust here, #524 by citations
- Control and Systems Engineering — 8 citations into it
- Safety, Risk, Reliability and Quality — 6 citations into it
Whom Qiang Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Michael W. Grieves
- E. Tuegel
- J. Vickers
- Shiyong Wang
- Ray Y. Zhong
- Fei Tao
- Jiafu Wan
- Kazi Masudul Alam
- Anthony R. Ingraffea
- George Q. Huang
Who trusts Qiang Liu overall
- Concetta Semeraro
- Angira Sharma
- Jiewu Leng
- Mario Lezoche
- Fei Tao
- Aidan Fuller
- Hervé Panetto
- Edward Elson Kosasih
Papers from Qiang Liu's perspective
Ordered by how strongly the researchers Qiang Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Reengineering Aircraft Structural Life Prediction Using a Digital Twin
- Implementing Smart Factory of Industrie 4.0: An Outlook (Int. J. Distributed Sens. Networks)
- IoT-Based Intelligent Perception and Access of Manufacturing Resource Toward Cloud Manufacturing (IEEE Transactions on Industrial Informatics)
- Building blocks for a digital twin of additive manufacturing
- A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems
- Big data: How do your data grow? (Nature)
- The Emergence of Intelligent Enterprises: From CPS to CPSS (IEEE Intelligent Systems)
- The Digital Twin: Demonstrating the Potential of Real Time Data Acquisition in Production Systems ☆
- C2PS: A Digital Twin Architecture Reference Model for the Cloud-Based Cyber-Physical Systems (IEEE Access)
- A Manufacturing Big Data Solution for Active Preventive Maintenance (IEEE Transactions on Industrial Informatics)
Their papers
- Digital twins-based smart manufacturing system design in Industry 4.0: A review (2021) — 612 citations
- Digital twin-driven rapid reconfiguration of the automated manufacturing system via an open architecture model (2020) — 307 citations
- Digital twin-driven rapid individualised designing of automated flow-shop manufacturing system (2019) — 314 citations
- Digital twin-driven manufacturing cyber-physical system for parallel controlling of smart workshop (2018) — 412 citations
- A Digital Twin-Based Approach for Designing and Multi-Objective Optimization of Hollow Glass Production Line (2017) — 370 citations