Current status and future prospects of research on the recognition of Academic Papers Masterpiece

[Purpose] This paper analyzes the development status of research on magnum opus recognition theory and methods in academic papers, and clarifies the future development direction of related research, which is aim at providing reference for subsequent research on the method system of magnus recognition. [Methods] This paper mainly uses the literature research method, subject analysis and content analysis method to carry out the whole research. The LDA topic model written based on python used as input to collect bibliographic data for topic clustering. According to the results of topic clustering, sort out the relevant theoretical system and method application, analyze the major and difficult problems in the process, and clarify research status and development trend of the theory and method of the recognition of academic papers masterpieces. [Conclusion and Prospect]Representative recognition is developing in the direction of intelligence, compound and network, however, the research on the theory and method of academic papers masterpieces is still not complete. There are still some problems in the recognition of masterpieces, such as the objects identification individual particularity, the disciplines and the research directions heterogeneity, the inflexibility of the combination of qualitative and quantitative methods, and the applicability of the masterpieces to authors of different levels. How to fully comprehend the semantic context information in the massive academic achievements and set up reasonable quantitative indicators of recognition is the future direction of representative recognition efforts we should make.