The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Nanoporous graphene materials
Open accessAbstract
Nanoporous graphene (NPG) materials have been widely studied and exploited to open the band gap, increase the specific surface area and dispersibility, and/or improve the optical, catalytic and sensing properties of pristine graphene. This review summarizes the recent advancements on the synthesis of NPGs and their applications in field effect transistors (FETs), sensors, electrochemical capacitors, nucleic acid analysis and molecular sieving.
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
Two-dimensional gas of massless Dirac fermions in graphene
Novoselov, K. S., Geim, A. K., Morozov, S. V., Jiang, D., Katsnelson, M. I., Grigorieva, I. V., Dubonos, S. V., & Firsov, A. A. (2005) · Nature · doi:10.1038/nature04233 · Cited by 21,611
Narrow graphene nanoribbons from carbon nanotubes
Jiao, L., Zhang, L., Wang, X., Diankov, G., & Dai, H. (2009) · Nature · doi:10.1038/nature07919 · Cited by 2,441
Cited by
3D Graphene Materials: From Understanding to Design and Synthesis Control
Sun, Z., Fang, S., & Hu, Y. H. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.0c00083 · Cited by 543
A review on inorganic membranes for desalination and wastewater treatment
Goh, P. S., & Ismail, A. F. (2018) · Desalination · doi:10.1016/j.desal.2017.07.023 · Cited by 537
Porous carbon nanosheets: Synthetic strategies and electrochemical energy related applications
He, Y., Zhuang, X., Lei, C., Lei, L., Hou, Y., Mai, Y., & Feng, X. (2019) · Nano Today · doi:10.1016/j.nantod.2018.12.004 · Cited by 447
2D nanostructures for water purification: graphene and beyond
Dervin, S., Dionysiou, D. D., & Pillai, S. C. (2016) · Nanoscale · doi:10.1039/c6nr04508a · Cited by 398
Huber, P. (2015) · Journal of Physics: Condensed Matter · doi:10.1088/0953-8984/27/10/103102 · Cited by 322
Metadata
- Authors
- Yuan, W., Chen, J., & Shi, G.
- Venue
- Materials Today
- Publisher
- Elsevier BV
- Published
- 2014-03
- Volume
- 17
- Issue
- 2
- Pages
- 77-85
- ISSN
- 1369-7021 (ISSN-L)
- OpenAlex
- W2025092692
- Cited by
- 201
- References
- 2
- FWCI
- 9.98
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Nanoporous graphene materials. https://app.cochat.ai/papers/10.1016/j.mattod.2014.01.021
- The paper
- Yuan, W., Chen, J., & Shi, G. (2014). Nanoporous graphene materials. Materials Today. https://doi.org/10.1016/j.mattod.2014.01.021
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.
