This Paper sorting out the relevant achievements in the identification of potential cooperation opportunities, this paper summarizes the existing identification methods and problems, providing reference for forward-looking cooperation recommendations in the discipline field. Firstly, this paper summarizes the necessity of identifying potential cooperation opportunities. Secondly, it defines the relevant concepts and entity object types. Thirdly, it summarizes the identification methods of potential cooperation opportunities. Finally, it points out the existing research deficiencies and puts forward prospects for future development. As for the types of entity objects, according to the different research purposes and research levels, entity objects are divided into three dimensions: microscopic, mesoscopic and macroscopic. As for the identification methods, external attribute information is the most direct and easy method in the identification of potential cooperation opportunities; link prediction is the most widely used and most mature method; in comparison, network representation learning and machine learning are new directions and new ideas for identifying potential cooperation opportunities. Based on the above analysis, the deficiencies and universal problems of different types of potential cooperation opportunities identification methods are summarized, and the future research priorities are prospected.