Jisuanji kexue (Apr 2022)

Survey of Visualization Methods on Academic Citation Information

  • ZHU Min, LIANG Zhao-hui, YAO Lin, WANG Xiang-kun, CAO Meng-qi

DOI
https://doi.org/10.11896/jsjkx.210300219
Journal volume & issue
Vol. 49, no. 4
pp. 88 – 99

Abstract

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Academic literature includes abundant citation information, which becomes the major analysis object and hot topic in both bibliometry and scientific research evaluation field.Compared with quantitative analysis methods based on mathematics and statistics, the use of visualization methods can realize the vivid presentation of citation information in time sequence and hierarchy, as well as the interactive mining of complex citation networks, which is of great significance to the reform of scientific research evaluation and the innovation of bibliometric methods.This paper introduces domestic and foreign relevant research on academic citation information analysis in recent years, summarizes the general framework of academic citation information visualization;classifies visualization methods according to two types of analysis tasks, entity evaluation and bibliometry, then elaborates the current research status, advantages and disadvantages of each type of methods, and finally points out the challenges and directions for further exploration of academic citation information visualization.

Keywords