Make more digital twins

By Fei Tao, Qinglin Qi. Nature, 2019

664 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/f23abb75f7c8323f0f41d0e5f8a7958b9b21ffb3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Industrial and Manufacturing Engineering

1. Xiwang He
2. Zhonghai Li
3. Tianze Sun

Citations in the corpus

• Digital twin in healthcare: Recent updates and challenges (2023, background): “The DT is revolutionising industry and been used by many major companies to increase efficiency and spot problems.(18) Healthcare can be another domain where DT can be applied.”
• Fusing Blockchain and AI With Metaverse: A Survey (2022, background): “While scattered ownership of data is another barrier since companies often don’t want to share commercially sensitive information, nor do countries [61].”