Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 313

The DOI matches its Crossref record; 98 of the 98 references it cites were found in a registry or an index.

Bioinspired Surfaces with Superamphiphobic Properties: Concepts, Synthesis, and Applications

Open access
Liu, Hui, Wang, Yandong, Huang, Jianying, Chen, Zhong, Chen, Guoqiang, Lai, Yuekun·2018·Advanced Functional Materials

Abstract

Among diverse wetting phenomena in surface science, superamphiphobicity is regarded as one of the most special super‐antiwetting states. In this paper, a systematic summary is presented to cover the characterization of surface wettability, the construction techniques, and selected functional applications. With respect to fabrication techniques, the following three types of technology routes, viz., “pre‐texturing + post‐modifying,” “pre‐modifying + post‐texturing,” and in situ one‐step construction will be discussed. The merits and demerits of each technology route are discussed. It is vital to rationally design or adopt appropriate construction strategies in diverse conditions. Appropriately constructed superamphiphobic multifunctional surfaces can be applied in many fields, however, most have not been scaled‐up and utilized for practical applications due to some specific difficulties required to be resolved in the future. These challenges and further outlook for super‐antiwetting surfaces are discussed in this review.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/adfm.201707415

Cites

98 of 98 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 98 references

Cited by

See all 313

Metadata

Authors
Liu, H., Wang, Y., Huang, J., Chen, Z., Chen, G., & Lai, Y.
Venue
Advanced Functional Materials
Publisher
Wiley
Published
2018-03-25
Volume
28
Issue
19
ISSN
  • 1616-301X (ISSN-L)
  • 1616-3028
OpenAlex
W2794015689
Cited by
313
References
98
FWCI
12.84
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Bioinspired Surfaces with Superamphiphobic Properties: Concepts, Synthesis, and Applications. https://app.cochat.ai/papers/10.1002/adfm.201707415
The paper
Liu, H., Wang, Y., Huang, J., Chen, Z., Chen, G., & Lai, Y. (2018). Bioinspired Surfaces with Superamphiphobic Properties: Concepts, Synthesis, and Applications. Advanced Functional Materials. https://doi.org/10.1002/adfm.201707415

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.