Research Progress on the Application of Artificial Intelligence in Information Engineering: A Bibliometrics Study from 2014 to 2024
Research Progress on the Application of Artificial Intelligence in Information Engineering: A Bibliometrics Study from 2014 to 2024
Zhenkun Liu,Zhu Xiao,2 Authors,Yuzhi Peng
TLDR
Through co-occurrence analysis and visual analysis, the research hotspots, evolutionary paths and development trends of artificial intelligence (AI) in information engineering applications were revealed, providing a theoretical basis for understanding the role of AI in information engineering and suggesting future research directions.
Abstract
In order to understand the global research trends and application development of artificial intelligence (AI) in information engineering from 2014 to 2024, this paper quantitatively analyzed and visualized the relevant literature in Web of Science (WoS) using VOSviewer and CiteSpace to identify the main authors, institutions and national collaboration networks of emerging research hotspots and cutting-edge topics. Through co-occurrence analysis and visual analysis, the research hotspots, evolutionary paths and development trends of artificial intelligence (AI) in information engineering applications were revealed, providing a theoretical basis for understanding the role of AI in information engineering and suggesting future research directions. The research found that : (1) Some stable collaborative networks dominated by small groups have been formed in this field; (2) A few countries have concentrated a large amount of scientific research resources in this field, and the global distribution of scientific research resources is unbalanced; (3) The depth and breadth of research in this field have expanded rapidly in the last decade, with research hotspots being rapidly updated and iterated, and technical application scenarios becoming more specific.
