| The research front in a research field tend to be the most advanced and most promising research themes or research trends in the field.However,identifying the research front is a necessary process for researching technological innovation paths and development trends and enhancing technological innovation capabilities.At present,most of the recognition researches on the research front are focused on text content-based clustering,text mining based on keyword co-occurrence networks,and manual interpretation methods.The kind of qualitative analysis method which is subject to text mining technology and subjective colors is often used can't fully reflect the experimental results of the objectivity and accuracy.First,the paper combines technology life cycle theory and multi-wave LOGISTIC fitting to study the development trend of science and technology,analyzes the major trends and minor trends in the process of science and technology development,and the situation of trend superposition,and divides the trend of technological development.Second,the dissertation explores hot topics and emerging topics in the development of technology based on the perspective of citing literature.First,the high-citations literatures are clustered by literature coupling,followed by the analysis of citing literature collections of high-cited literature groups,combined with technologies.The phase division of development identifies and research front in a research field,and finally draws out the core technology groups in the technical field.Sample analysis based on US authorized patent data OLED field and robotic domain bibliographic data confirmed the effectiveness of the above methods for the research of science and technology trends and detection of emerging topics.The paper concludes with a summary of the advantages and limitations of the method. |
