Research Trends in Superhydrophobic Drag Reduction: a Bibliometric and Visualization Analysis

Yexiang Fu (), Siyu He (), Jian Zhou () and Liang Zhang ()
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Yexiang Fu: Jianghan University, School of Smart Manufacturing
Siyu He: Jianghan University, School of Smart Manufacturing
Jian Zhou: Jianghan University, School of Smart Manufacturing
Liang Zhang: Jianghan University, School of Smart Manufacturing

A chapter in Proceedings of the 2026 2nd International Conference on Data Mining and Project Management (DMPM 2026), 2026, pp 158-167 from Springer

Abstract: Abstract This study offers a systematic analysis of academic research on superhydrophobic drag reduction. by utilizing two visualization tools named VOSviewer and Bibliometrix of R. We analyzed 407 articles on this area from the web of science database. The authors, journals, organizations and countries in the research on superhydrophobic drag reduction are discerned. In addition, the evolution trend was explored through keyword co-occurrence analysis to find the research focus and to predict the future development in this area. The results conjunctively achieved by VOSviewer and Bibliometrix will enhance understanding of the research on superhydrophobic drag reduction through a comprehensive quantitative analysis and assist scholars with future directions in this area.

Keywords: Superhydrophobicity; drag reduction; Bibliometrix; VOSviewer; research trend (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6239-689-0_15

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DOI: 10.2991/978-94-6239-689-0_15

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