The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Non-covalent functionalization of carbon nanotubes with polymers
Abstract
Carbon nanotubes have emerged as very promising materials in various research fields spanning from biotechnology to energy storage and transformation. Their poor solubility in aqueous and organic solvents and limited compatibility with polymer matrices are major drawbacks, rendering these materials incapable of achieving their full potential. Covalent or non-covalent functionalization with polymers is considered a major key in circumventing this issue. In this feature article, the non-covalent functionalization through various types of interactions between polymers and carbon nanotubes is highlighted and their potential applications are discussed.
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.
Integrity signals
Registry
Cites
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.
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
Noncovalent sidewall functionalization of single-walled carbon nanotubes for protein immobilization
Chen, R. J., Zhang, Y., Wang, D., & Dai, H. (2001) · Journal of the American Chemical Society · doi:10.1021/ja010172b · Cited by 2,534
Conducting polymers in biomedical engineering
Guimard, N. K., Gomez, N., & Schmidt, C. E. (2007) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2007.05.012 · Cited by 1,599
Cited by
A review on solid adsorbents for carbon dioxide capture
Lee, S.-Y., & Park, S.-J. (2015) · Journal of Industrial and Engineering Chemistry · doi:10.1016/j.jiec.2014.09.001 · Cited by 707
Functional Biochar Synergistic Solid/Liquid-Phase CO2 Capture: A Review
Zhang, Y., Wang, S., Feng, D., Gao, J., Dong, L., Zhao, Y., Sun, S., Huang, Y., & Qin, Y. (2022) · Energy & Fuels · doi:10.1021/acs.energyfuels.1c04372 · Cited by 91
Metadata
- Authors
- Bilalis, P., Katsigiannopoulos, D., Avgeropoulos, A., & Sakellariou, G.
- Venue
- RSC Adv.
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2014
- Volume
- 4
- Issue
- 6
- Pages
- 2911-2934
- ISSN
- 2046-2069 (ISSN-L)
- OpenAlex
- W2148944640
- Cited by
- 317
- References
- 2
- FWCI
- 9.62
- Type
- journal article
- Language
- en
- Open access
- closed
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
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.
