Analytics of lastest research progress in automation discipline based on academic knowledge mapping

Abstract

Nowadays, automation science and technology based on automatic control and information processing has become an essential impetus to productive forces and human life. So a comprehensive understanding of the latest research progress in this discipline is essential for its significant reference value to scholars and research institutions. In this paper, the automation science and technology discipline is divided into five research fields, which are specifically defined as control theory and engineering, pattern recognition and intelligent systems, measurement technology and automatic equipment, navigation and guidance, and systems engineering. Each field is depicted by analyzing and mapping the data from 46 242 academic articles published on 88 journals during 2011∼ 2013. The results show that the research interests are different between domestic and abroad, and that the domestic institutions and ethnic Chinese scholars have played an important role in promoting the development of automation science and technology.