In this paper, the quantitative analysis method is used to analyze 108 related papers of Chinese research on post-editing of machine translation, which were collected in CNKI database from 1995 to 2020. The results show that domestic research on post-editing focuses on the introduction of post-editing and its basic concepts, the development of post-editing tools, the identification of machine translation errors, the strategies for post-editing, and the training of post-editing competence etc. The research on post-editing started relatively late in China, and it is still in the developing stage. Now, the main problem is that its research is small in volume and single in perspective and method, and its focuses are unbalanced, etc. In the future, research on post-editing should be strengthened in the cultivation of post-editing competence, the deepening of human-machine interaction mode and the development of automatic post-editing technology.