Abstract: Identifying emerging technologies with development potential and the most valuable emerging technology subjects has become the focus of attention of all stakeholders. In this context, the FUSE project in the United States put forward an indicator of technological emergence, which can be used to measure the technological emerging degree of emerging technologies (subjects) quantitatively. On this basis, present study takes patents which are main carriers of emerging technologies as the research object, and introduces related methods such as bibliometrics, econometrics, etc., to explore the relationship between the technological emerging degree of the patent and its technological impact from a quantitative perspective. Our research process is mainly divided into three steps: Firstly, we use NLP to extract the candidate terms from the abstract and title of a corpus of abstract records in a technology domain of interest, usually a 10-year period, and then clean and filter them to identify emerging terms and calculate their emergence scores. Secondly, based on the list of term-level emergence scores, we measure the technological emerging degree of a single patent in the target domain in the following three years by the patent-level emergence score. Finally, we quantitatively analyze the relationship between the patent’s technological emerging degree and its technology impact, which is measured by the number of forward citations of the patent. We use patent data in the field of nano drug delivery for empirical analysis. The results show that there is a significant positive correlation between the technological impact of patents and their technological emerging degree, that is, the patent with higher technological emerging degree may have greater influence and promotion on subsequent technological development. Besides, the study also suggests that emerging technological ideas (emerging terms) can improve the technological impact of patents continuously (at least 3 years). Theoretically, firstly, this paper draws on the idea of calculating the subject's emergence score, and proposes a method to calculate the patent's emergence score, which realizes the measurement of the technological emerging degree of patents. Secondly, this research conducts a quantitative study on the relationship between the technological emerging degree of patents and their technological influence, which is a deepening and supplement to the existing qualitative research. Moreover, this study uses patent data as a data set, verifying and supplementing the existing related research using scientific publications as a data set. In practice, on the one hand, this research provides new ideas and methods for the mining of high-value patents by exploring the relationship between the technological emerging degree of patents and their technological influence, which can provide some references for the government and enterprises to make investment decisions. On the other hand, this paper demonstrates the value of emerging technology ideas from the perspective of technological development, that is, emerging technology ideas can significantly increase the technological influence of patents, and provide theoretical support for my country's decision to favor policies in emerging technology fields.