Facile fabrication of hierarchical textures for substrate-independent and durable superhydrophobic surfaces

146 indexed citations

Abstract

loading...

About

This paper, published in 2022, received 146 indexed citations. Written by Yuchun He, Lingxiao Wang, Tingni Wu, Zhipeng Wu, Yu Chen and Kai Yin covering the research area of Surfaces, Coatings and Films, Mechanics of Materials and Computational Mechanics. It is primarily cited by scholars working on Surfaces, Coatings and Films (94 citations), Computational Mechanics (49 citations) and Biomedical Engineering (39 citations). Published in Nanoscale.

Countries where authors are citing Facile fabrication of hierarchical textures for substrate-independent and durable superhydrophobic surfaces

Specialization
Citations

This map shows the geographic impact of Facile fabrication of hierarchical textures for substrate-independent and durable superhydrophobic surfaces. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Facile fabrication of hierarchical textures for substrate-independent and durable superhydrophobic surfaces with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Facile fabrication of hierarchical textures for substrate-independent and durable superhydrophobic surfaces more than expected).

Fields of papers citing Facile fabrication of hierarchical textures for substrate-independent and durable superhydrophobic surfaces

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Facile fabrication of hierarchical textures for substrate-independent and durable superhydrophobic surfaces. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Facile fabrication of hierarchical textures for substrate-independent and durable superhydrophobic surfaces.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

This paper is also available at doi.org/10.1039/d2nr02157a.

Explore hit-papers with similar magnitude of impact

Breakdown of academic impact, for the paper Explainable artificial intelligence for digital finance and consumption upgrading Breakdown of academic impact, for the paper A review of plants strategies to resist biotic and abiotic environmental stressors Breakdown of academic impact, for the paper Techno-economic analysis of different shades of renewable and non-renewable energy-based hydrogen for fuel cell electric vehicles Breakdown of academic impact, for the paper Oxygen Vacancies Unfold the Catalytic Potential of NiFe-Layered Double Hydroxides by Promoting Their Electronic Transport for Oxygen Evolution Reaction Breakdown of academic impact, for the paper Synthesis of nitrogen-doped reduced graphene oxide/magnesium ferrite/polyaniline composite aerogel as a lightweight, broadband and efficient microwave absorber Breakdown of academic impact, for the paper Programmable gear-based mechanical metamaterials Breakdown of academic impact, for the paper Quantifying the Carbon Export and Sequestration Pathways of the Ocean's Biological Carbon Pump Breakdown of academic impact, for the paper Commensal microbiota from patients with inflammatory bowel disease produce genotoxic metabolites Breakdown of academic impact, for the paper A Holistic Approach to the Design of Artificial Intelligence (AI) Education for K-12 Schools Breakdown of academic impact, for the paper Robotic‐arm assisted total knee arthroplasty is associated with improved accuracy and patient reported outcomes: a systematic review and meta‐analysis
Rankless by CCL
2026