目的 为了进一步掌握无参考图像质量评价的发展过程与研究热点，为后续的相关研究提供参考。方法 使用citespace文献可视化软件对2000—2021年在Web of Science检索到的1 712条文献数据进行基本分析、共被引分析和

The work aims to further understand the development process and research hotspots of no-reference image quality assessment and provide reference for subsequent related research. CiteSpace literature visualization software was used to conduct basic analysis, co-citation analysis and Keywordanalysis on 1 712 items of literature retrieved from Web of Science from 2000 to 2021. The development characteristics of no-reference image quality assessment were obtained by analyzing the visualization atlas. The analysis results showed that no-reference image quality assessment was currently in a stage of rapid development, and countries all over the world had made achievements in this field. At present, there were more mature no-reference image assessment algorithms, but there was still a gap in accuracy compared with subjective assessment. In the future, researchers should combine today's artificial intelligence technology to promote the transition from high-speed development to high-quality development of no-reference image quality assessment.