International Journal of Information Technology and Applications, Vol. 1, No. 1, pp. 9-21, March 2024.
Abstract: In the era of big data, using deep learning of intelligent computing to solve the analysis and processing of massive data efficiently and quickly is a hot research field at present. It has attracted many researchers’ research interests. A thorough analysis of the current body of knowledge in intelligent computing based on deep learning of big data is conducive to a comprehensive understanding of the research status and future trends in this field. In this paper, a bibliometric analysis of intelligent computing based on deep learning of big data was performed using the Web of Science (WoS) Core Collection dataset. The relevant literatures of WoS were quantitatively analyzed based on a bibliometric analysis method combined with VOSviewer software. The research results show that the number of literatures published in the field of intelligent computing based on deep learning of big data is on the rise over time, especially after 2017, the growth rate is accelerating. China and USA take the lead position in the number of literatures published. Y. Zhang is the most productive author and Y. S. Lv is the most influential author. IEEE Access and Computational Intelligence and Neuroscience are the main journals. Chinese Academy of Sciences has published most literatures. Research hotspots of intelligent computing based on deep learning of big data mainly include Internet of things, neural network, analysis and processing of big data and application research.