[Objective] This paper reviews the literature identifying disruptive technologies, aiming to examine research topics and development trends, as well as establish a framework for further studies. [Coverage] We searched Chinese and English papers from CNKI and Web of Science with relevant keywords. We retrieved 1 974 papers published between 2011 and 2020 for quantitative analysis, and 61 papers published between 2001 and 2020 for qualitative analysis. [Methods] First, we identified the popular topics and development trends through quantitative analysis. Then, we examined the highly cited papers and the latest literature to review their research methods. Finally, we built a framework based on the results of quantitative and qualitative analysis which also predicted future trends. [Results] Studies identifying disruptive technologies were more popular in the fields of information technology, medical treatment, chemical industry, and high-end manufacturing. They included multiple-methodology from the perspectives of technologies themselves, products, sci-tech information mining, and external environment. We established three frameworks for disruptive technology identification and explored some future developments. [Limitations] More research on macro indicators, such as society- and economy-related issues, need to be reviewed comprehensively. [Conclusions] The research on disruptive technology identification has become inter-disciplinary, which include more quantitative methodology and the nonlinear algorithms based on deep learning.
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