Complex engineering is highly complex and complexity is an important factor affecting the performance of complex engineering. The "four-stage method" is used to comb the high-cited papers in the field of complex engineering risk management from 2008 to 2018. The research status of complex engineering risk management is summarized from the research method and research content. The results indicate that (1) the research methods of complex engineering risk management can be divided into empirical analysis and data model analysis. Most of the current research use empirical analysis to obtain data, and then modeling to expand data analysis; (2) most research are based on the traditional model of general engineering risk management. However, the impact of complexity, an essential attribute of complex engineering, is not fully reflected. On these bases, it is pointed out that studying risk management from the perspective of complexity is one of the main research trends in the future. The computational experiment method can be used to construct a risk management computing experimental platform through computer technology to study the risk interaction and the emergence of complex system.
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