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.
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Mao, M., Li, Z., Zhao, Z., Zeng, L. (2018). Bibliometric Analysis of the Deep Learning Research Status with the Data from Web of Science. In: Tan, Y., Shi, Y., Tang, Q. (eds) Data Mining and Big Data. DMBD 2018. Lecture Notes in Computer Science(), vol 10943. Springer, Cham. https://doi.org/10.1007/978-3-319-93803-5_55
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