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Nanoparticles in Concrete: Data-Driven Visualization, Collaboration, and Trends

转化式学习 纳米技术 数据科学 领域(数学) 计算机科学 可视化 材料科学 社会学 数据挖掘 教育学 数学 纯数学
作者
Yunlong Yao,Baoning Hong,Yihua An
出处
期刊:ACS applied nano materials [American Chemical Society]
卷期号:8 (1): 668-692 被引量:3
标识
DOI:10.1021/acsanm.4c06059
摘要

The integration of nanoparticles into concrete has emerged as a transformative approach in the field of construction materials, promising significant improvements in mechanical, durability, and functional properties. Given the rapid advancement and growing volume of research in this area, a comprehensive bibliometric analysis is essential to understand the development, collaboration patterns, and emerging trends. This study provides an extensive scientometric analysis analysis of the application of nanoparticles in concrete, focusing on data-driven visualization, collaboration networks, and emerging research hotspots. Utilizing advanced bibliometric tools and databases, a systematic analysis of scholarly publications from the past two decades was conducted. Key trends and patterns in the research landscape were identified, highlighting significant growth in publications and citations. Collaborative networks between researchers, institutions, and countries were mapped, revealing the dynamics of international and interdisciplinary collaborations. Co-citation and keyword co-occurrence analyses were employed to uncover thematic clusters and evolving research fronts. The findings indicate a strong interest in enhancing concrete properties through nanoparticles, with notable attention to nanomaterials such as nano SiO2, carbon nanotubes, graphene oxide, nano TiO2 and nano CaCO3. This study summarizes the evolution of nanoparticle research in concrete and outlines future research opportunities, providing key insights for advancing the field.
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