The Visualization Analysis of the Research Status of Artificial Intelligence

• Published in: 2021 International Conference on E-Commerce and E-Management (ICECEM) pp. 372 - 380
• Main Authors: Yu, Guifang, Chen, Yuanyuan, Yang, Li
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.09.2021
• Subjects: Artificial intelligence; Big Data; CiteSpace; Computer simulation; Computer vision; cooperation networks; Education; Force; keywords co-occurrence; Neural networks; Support vector machines; theme analysis; visualization analysis
• DOI: 10.1109/ICECEM54757.2021.00080

Facing a new round of scientific and technological revolution and industrial reform, many localities have been accelerate the layout of development strategy of artificial intelligence. In order for a good understanding of the research status in the field of artificial intelligence, this paper takes the papers published in the core journals of the two databases, the Web of Science and CNKI, as the data sources, and uses the visualization software, CiteSpace, to analyze time distribution, spatial cooperation, authors' cooperation and hot topics and so on. After the analysis, the obtained results show that: First, the artificial intelligence research both in China and abroad are still in a period of rapid development, and is widely infiltrated and applied in engineering, environment, agriculture, education, intelligence and other fields. Second, Ilia State University, Ton Duc Thang University, Chinese Academy of Sciences, Tsinghua University and Jilin University jointly form the core force of artificial intelligence research with the prolific scholars from these institutions. Third, the hot topics of artificial intelligence research focus on support vector machines, genetic algorithms, computer simulation, robots, computer vision, neural networks, etc.