Bibliometric analysis of the deep learning research status with the data from web of science

Abstract

By using the 3599 papers obtained from the Web of Science database from 1968 to 2018 as the research sample, this paper demonstrates a comprehensive Bibliometric analysis of the research status, trends and hotspots in the domain of Deep Learning. The results indicate that the current global deep learning research is of great value; most of the institution cooperation are conducted with different characteristics by colleges and universities in China and Western Countries, respectively; the international academic communications in the deep learning field are pretty prosperous, which are concentrated on three major region: East Asia, North America, and West Europe. In addition, the current research hotspots, such as modeling and algorithm research can be shown in a keywords clustering mapping, and the current research fronts can be categorized into three layers: the application research of computer vision technology, the algorithm research, and the modeling research.