Andrew Yeh-Ching Nee
Industrial and Manufacturing Engineering · 2001–2019
A researcher in the Science corpus: 11 papers; trusts 25 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Industrial and Manufacturing Engineering — 73 citations into it; #374 of 2,521 by trust here, #134 by citations
- Computer Vision and Pattern Recognition — 33 citations into it; #8,595 of 21,575 by trust here, #8,502 by citations
- Automotive Engineering — 21 citations into it; #2,522 of 3,081 by trust here, #1,425 by citations
- Human-Computer Interaction — 19 citations into it; #894 of 2,253 by trust here, #978 by citations
- Computer Networks and Communications — 13 citations into it
- Control and Systems Engineering — 13 citations into it
- Management Information Systems — 12 citations into it
- Management of Technology and Innovation — 10 citations into it
Whom Andrew Yeh-Ching Nee trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Fei Tao
- Ronald T. Azuma
- David G. Lowe
- Qinglin Qi
- Steven J. Henderson
- Steven K. Feiner
- Abhishek Seth
- Jianbo Shi
- Soh-Khim Ong
Who trusts Andrew Yeh-Ching Nee overall
- Tariq Masood
- Paula Fraga-Lamas
- Fei Tao
- John W. Egger
- Eleonora Bottani
- Tiago M. Fernández-Caramés
- Dimitris Mourtzis
- Aidan Fuller
- Samad M. E. Sepasgozar
- Fangyuan Sui
Papers from Andrew Yeh-Ching Nee's perspective
Ordered by how strongly the researchers Andrew Yeh-Ching Nee trusts endorse each paper. Same corpus, a different order for every researcher.
- Object recognition from local scale-invariant features
- Cloud manufacturing: a computing and service-oriented manufacturing model
- Building blocks for a digital twin of additive manufacturing
- The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles
- An Information Framework for Creating a Smart City Through Internet of Things (IEEE Internet of Things Journal)
- The Emergence of Intelligent Enterprises: From CPS to CPSS (IEEE Intelligent Systems)
- KinectFusion: Real-time dense surface mapping and tracking
- Cyber-physical systems: The next computing revolution (Design Automation Conference)
- IoT-Based Intelligent Perception and Access of Manufacturing Resource Toward Cloud Manufacturing (IEEE Transactions on Industrial Informatics)
- Cyber-physical systems in manufacturing
Their papers
- Digital twin driven prognostics and health management for complex equipment (2018) — 847 citations
- Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison (2019) — 1,147 citations
- Digital twin-driven product design framework (2019) — 1,033 citations
- Digital Twin in Industry: State-of-the-Art (2019) — 3,225 citations
- Enabling technologies and tools for digital twin (2019) — 1,279 citations
- A comprehensive survey of augmented reality assembly research (2016) — 441 citations
- Advanced manufacturing systems: socialization characteristics and trends (2015) — 332 citations
- Augmented reality applications in design and manufacturing (2012) — 722 citations
- Augmented reality applications in manufacturing: a survey (2008) — 341 citations
- Virtual and Augmented Reality Applications in Manufacturing (2004) — 309 citations
- Environmental life cycle cost analysis of products (2001) — 114 citations