Analysis of Scientific Research Hotspots in the Field of Artificial Intelligence

Jianing Liu

doi:10.54097/hset.v34i.5523

Authors

Jianing Liu

DOI:

https://doi.org/10.54097/hset.v34i.5523

Keywords:

Bibliometrics analysis; Keyword co-occurrence; Artificial Intelligence.

Abstract

[Objective]This paper discusses the development trends and research hotspots in the field of artificial intelligence in China.[Methods]Take the papers in the Web of Science Core Collection database as the research object, and use the methods such as the statistics of the number of documents issued, the statistics of keyword word frequency, and keyword co occurrence analysis to identify research hotspots in the field of artificial intelligence.[Results]According to the results of data analysis, the research focuses in this field mainly focus on four aspects: neural network, algorithm optimization, classification technique and deep learning.[Conclusions]Using bibliometric methods to analyze the relevant literatures in the field of artificial intelligence can reveal the research hotspots in this field, thus providing guidance for relevant researchers.

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