Proceedings of the 2026 2nd International Conference on Data Mining and Project Management (DMPM 2026)

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

Authors
Yexiang Fu1, *, Siyu He1, Jian Zhou1, Liang Zhang1
1Jianghan University, School of Smart Manufacturing, Wuhan, 430056, People’s Republic of China
*Corresponding author. Email: yexiang.fu@jhun.edu.cn
Corresponding Author
Yexiang Fu
Available Online 28 May 2026.
DOI
10.2991/978-94-6239-689-0_15How to use a DOI?
Keywords
Superhydrophobicity; drag reduction; Bibliometrix; VOSviewer; research trend
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.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2026 2nd International Conference on Data Mining and Project Management (DMPM 2026)
Series
Advances in Economics, Business and Management Research
Publication Date
28 May 2026
ISBN
978-94-6239-689-0
ISSN
2352-5428
DOI
10.2991/978-94-6239-689-0_15How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yexiang Fu
AU  - Siyu He
AU  - Jian Zhou
AU  - Liang Zhang
PY  - 2026
DA  - 2026/05/28
TI  - Research Trends in Superhydrophobic Drag Reduction: a Bibliometric and Visualization Analysis
BT  - Proceedings of the 2026 2nd International Conference on Data Mining and Project Management (DMPM 2026)
PB  - Atlantis Press
SP  - 158
EP  - 167
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-689-0_15
DO  - 10.2991/978-94-6239-689-0_15
ID  - Fu2026
ER  -