Abstract: 【Purpose/significance】Exploring the data visualization presentation of research fronts,continuously improve the ability of
subject knowledge service and level in the library of academic school and Science Research Institutes.【Method/process】According to
the precipitation principle of ESI research fronts and the accumulated historical data,the paper calculates the Jaccard similarity of re?
search fronts in the discipline field,analyzes its evolution characteristics,puts forward the concept of similarity grade of ESI research
fronts.In R language environment,ggplot2 package is used to draw its visualization map,and shiny package is used to publish web appli? cations.【Result/conclusion】The Jaccard similarity coefficient of ESI research fronts and the similarity grade reflect the overall evolu? tion characteristics in discipline field and the evolution of each ESI research front.The weighted mean value of the similarity grade can be used as the research front stability criterion.The visualization map can help scientific researchers understand and trace research frontiers in macro level and micro level.The network and self-service subject knowledge service mode is conducive to improve service quality and service efficiency.【Innovation/limitation】Although the visual service effect of the research fronts is analyzed by individual cases,its popularization and application need further practice and development