Dust prevention and control in China: A systematic analysis of research trends using bibliometric analysis and Bayesian network

Abstract

Along with the development of Chinese industry, dust control in the workplace has become an important issue. Dust not only endangers people's lives and occupational health, but also pollutes the environment, which hinders the construction and progress of clean and green production in China. This paper collected 1186 Chinese dust control literature from web core databases for a review, spanning 30 years. A bibliometric approach was employed to analyze and discuss the content of the dust control field, covering literature releases, authors, institutions, journal source, citations, and keyword co-occurrence. Furthermore, Bayesian networks(BNs) predicted future hot topics (FHTs) in the field. The results showed that there were three stages of literature publication; Nie Wen was the author with the most publications in the domain of dust control in China; Shandong University of Science and Technology was the authoritative institution in the field; Powder technology the popular journal among Chinese dust control researchers. According to the keyword co-occurrence analysis, the area mainly contains dust types, dust control methods, dust explosion, numerical simulation, occupational diseases and dust pollution; Finally, environmental pollution, numerical simulation and coal mine dust control were considered as the FHTs.