Jie Zhang
Industrial and Manufacturing Engineering · with Brintrup · 2020
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Industrial and Manufacturing Engineering — 24 citations into it
Whom Jie Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Jie Zhang's perspective
Ordered by how strongly the researchers Jie Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles
- Digital twin-driven product design, manufacturing and service with big data (The International Journal of Advanced Manufacturing Technology)
- Gradient Episodic Memory for Continual Learning
- Shaping the digital twin for design and production engineering
- Cyber physical systems in the context of Industry 4.0 (International Conference on Automation, Quality and Testing, Robotics)
- Reengineering Aircraft Structural Life Prediction Using a Digital Twin
- Digital Twin Data Modeling with AutomationML and a Communication Methodology for Data Exchange
- Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems
- The intelligent product driven supply chain (IEEE International Conference on Systems, Man and Cybernetics)
- Digital Twin in Industry: State-of-the-Art (IEEE Transactions on Industrial Informatics)
Their papers
- Digital Twins: State of the Art Theory and Practice, Challenges, and Open Research Questions (2020) — 550 citations