Abstract: This paper focuses on China’s national conditions and characteristics, summarizes the research experience and practical experience on digital twin, and proposes feasible research theories and practical countermeasures for the rapid development of China’s industry and the construction of intelligent economy. Based on the visualization software CiteSpace, this paper conducts a quantitative analysis of the digital twin related literature included in China National Knowledge Infrastructure （CNKI）, to obtain the hotspots and trends of digital twin research in China through the summary and analysis of the number of published papers, the co-occurrence map of authors and institutions, the co-occurrence of keywords and emerging words. The research showed that: （1）China’s digital twin research has mainly gone through two stages: start（2016—2018）and development （2019—2022）. （2）Application of digital twin technology in manufacturing workshops, application of digital twin and artificial intelligence algorithms in real-time forecasting and research on digital transformation based on digital twin technology are the current hot research fields;（3）The future research trends are smart factories, industrial Internet of Things, information Physical Systems, digital twin model and smart economy. Digital twin has become a research hotspot in the fields of intelligent manufacturing and industrial Internet, and China will gradually draw the world’s attention for digital twin research.