The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Sulfur-Doped Graphene via Thermal Exfoliation of Graphite Oxide in H2S, SO2, or CS2 Gas
Abstract
Doping of graphene with heteroatoms is an effective way to tailor its properties. Here we describe a simple and scalable method of doping graphene lattice with sulfur atoms during the thermal exfoliation process of graphite oxides. The graphite oxides were first prepared by Staudenmaier, Hofmann, and Hummers methods followed by treatments in hydrogen sulfide, sulfur dioxide, or carbon disulfide. The doped materials were characterized by scanning electron microscopy, high-resolution X-ray photoelectron spectroscopy, combustible elemental analysis, and Raman spectroscopy. The ζ-potential and conductivity of sulfur-doped graphenes were also investigated in this paper. It was found that the level of doping is more dramatically influenced by the type of graphite oxide used rather than the type of sulfur-containing gas used during exfoliation. Resulting sulfur-doped graphenes act as metal-free electrocatalysts for an oxygen reduction reaction.
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
Graphene-based composite materials
Stankovich, S., Dikin, D. A., Dommett, G. H. B., Kohlhaas, K. M., Zimney, E. J., Stach, E. A., Piner, R. D., Nguyen, S. T., & Ruoff, R. S. (2006) · Nature · doi:10.1038/nature04969 · Cited by 12,922
Graphene-based nanomaterials and their electrochemistry
Pumera, M. (2010) · Chemical Society Reviews · doi:10.1039/c002690p · Cited by 1,117
Self-citation
Cited by
Metal-Free Catalysts for Oxygen Reduction Reaction
Dai, L., Xue, Y., Qu, L., Choi, H.-J., & Baek, J.-B. (2015) · Chemical Reviews · doi:10.1021/cr5003563 · Cited by 2,380
Electrochemistry of Graphene and Related Materials
Ambrosi, A., Chua, C. K., Bonanni, A., & Pumera, M. (2014) · Chemical Reviews · doi:10.1021/cr500023c · Cited by 1,208
Self-citationQu, K., Zheng, Y., Dai, S., & Qiao, S. Z. (2016) · Nano Energy · doi:10.1016/j.nanoen.2015.11.027 · Cited by 623
Zhang, J., & Dai, L. (2015) · ACS Catalysis · doi:10.1021/acscatal.5b01563 · Cited by 590
Brisebois, P. P., & Siaj, M. (2020) · Journal of Materials Chemistry C · doi:10.1039/c9tc03251g · Cited by 445
Metadata
- Authors
- Poh, H. L., Šimek, P., Sofer, Z., & Pumera, M.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-05-08
- Volume
- 7
- Issue
- 6
- Pages
- 5262-5272
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2024256830
- Cited by
- 372
- References
- 2
- FWCI
- 18.06
- 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.
