• 中文核心期刊
  • 中国科技核心期刊
  • RCCSE中国核心学术期刊
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基于CNKI文献计量学的矿山粉尘研究可视化知识图谱分析

Visualization knowledge graph analysis of mine dust research based on CNKI bibliometrics

  • 摘要: 为探明矿山粉尘的研究脉络与热点变化,以CNKI收录的2001—2021年的1 863篇文献为样本,利用Citespace与VOSviewer可视化知识图谱技术,对我国近20年矿山粉尘研究的时空分布特征、热点主题与前沿趋势进行了分析。研究表明:矿山粉尘研究分为波动增长期(2001—2007年)、快速上升期(2008—2015年)及缓慢过渡期(2016—2021年)3个阶段;载文期刊所属学科主要集中在矿业工程、安全科学与工程领域;研究领域已经初步形成了较为稳定的核心作者群与机构;研究主题包含了矿山粉尘的产生、运移、防治及致灾后果的全过程。未来矿山粉尘研究应关注复杂艰险环境下的地下矿山与深凹露天矿,加强研究机构跨学科的合作交互,促使矿山粉尘研究与自动化、信息化、智能化等技术的融合与应用。

     

    Abstract: In order to explore the research context and hot spot changes of mine dust, this paper took 1 863 literatures collected by CNKI from 2001 to 2021 as samples, and analyzed the spatial-temporal distribution characteristics, hot topics and frontier trends of mine dust field in China during the past 20 years by using Citespace and VOSviewer knowledge graph technology. The results show that the study of mine dust can be divided into three stages: fluctuating growth period (from 2001 to 2007), rapid growth period (from 2008 to 2015) and slow transition period (from 2016 to 2021); the subjects of the journals mainly focus on mining engineering, safety science and engineering; a relatively stable core group of authors and institutions has been formed in the research field; the research topic includes the whole process of mine dust generation, migration, control and disaster consequences.Future mine dust research should focus on underground mines and deep concave open-pit mines under complex and dangerous environment, strengthen the cooperation and interaction between research institutions and interdisciplinary fields, and promote the integration and application of mine dust research and automation, information, intelligence and other technologies.

     

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