he evolution of urban green space is coupled with changes in urban land use, and is affected by the combined effects of human activities and natural effects. Summarizing the evolution law is helpful to explore the possibility of future development of urban green space, but there is a lack of systematic research in the field of urban green space evolution simulation. Based on the literature database of CNKI and the core collection database of Web of Science, the research hotspots, research topic distribution and research trend of urban green space evolution simulation from 2000 to 2020 were analyzed with the scientific econometric analysis software CiteSpace. The research shows that the commonality of Chinese and English literature research is the attention to ecological and environmental issues and the focus on research scale. The differences between Chinese and English literature research are as follows: the Chinese literature focuses on the methodological summary of spatial feature mining, the discussion of technical paths such as cellular automata and its improved model, the exploration of cooling effect and optimization strategy of urban green space, and the analysis of driving mechanism. The English literature focuses on the relationship between urban green space evolution, urban growth and land use change, the extension of urban green space efficiency, the climate response in macro scale and the residents’ well-being. This research provides theoretical support for the efficient allocation of urban land use and scientific planning of urban green space system. Future research can explore the academic research hotspots, the clarification of planning convergence of land use or space, etc.