Trends and frontiers of atmospheric duct research based on CiteSpace and deep learning

Abstract

The research of evaporation duct is of fundamental importance in the radar and signal communication industry. Particularly, in a real atmosphere environment, most of the radar holes cannot be corrected in time because of the persistent evaporation duct phenomenon. Thus, conducting evaporation duct research is a major concern of both academic and industrial communities. However, there is no descriptive research on the mobile communication in the marine and atmospheric environment. Numerous scholars and institutions have integrated atmospheric duct into multidisciplinary knowledge overview of the atmospheric duct in the existing published articles. The objective of this article is to explore the focus and status of atmospheric duct in-depth investigation and to grasp the frontiers and prospects of atmospheric duct research. A visual presentation of co-citation was adopted to realize the influence of authors, contributing institutions, keyword research hotspots, and frontier research based on co-citation network analysis. In addition, to identify the direction of atmospheric duct more accurately, the deep learning algorithm was adopted to conduct a comprehensive analysis of the future development trend of atmospheric duct.

Keywords: Atmospheric duct; CiteSpace; Co-citation analysis; Deep learning.