Interest in Artificial Intelligence (AI) continues to grow rapidly, hence it is crucial to support researchers and organisations in understanding where AI research is heading. In this study, we conducted a bibliometric analysis on 257K articles in AI, retrieved from OpenAlex. We identified the main conceptual themes by performing clustering analysis on the co-occurrence network of topics. Finally, we observed how such themes evolved over time. The results highlight the growing academic interest in research themes like deep learning, machine learning, and internet of things.
翻译：对人工智能的兴趣继续迅速增长,因此,必须支持研究人员和组织了解人工智能研究的方向。在这项研究中,我们从OpenAlex检索到对AI中257K条文章进行了生物测定分析。我们通过对共同发生的专题网络进行集群分析,确定了主要的概念主题。最后,我们观察了这些主题的演变过程。研究结果突出表明了学术界对深层次学习、机器学习和事物互联网等研究主题的兴趣日益浓厚。
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