The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Oxygen Reduction on Graphene–Carbon Nanotube Composites Doped Sequentially with Nitrogen and Sulfur
Abstract
The development of unique, reliable, and scalable synthesis strategies for producing heteroatom-doped nanostructured carbon materials with improved activity toward the electrochemical oxygen reduction reaction (ORR) occurring in metal–air batteries and fuel cells presents an intriguing technological challenge in the field of catalysis. Herein, we prepare unique graphene–carbon nanotube composites (GC) doped sequentially with both nitrogen and sulfur (GC-NLS) and subject them to extensive physicochemical characterization and electrochemical evaluation toward the ORR in an alkaline electrolyte. GC-NLS provides ORR onset potential increases of 50 and 70 mV in comparison to those of dual-doped individual graphene and carbon nanotubes, respectively. This highlights the significant synergistic effects that arise because of the nanocomposite arrangement, consisting of highly graphitized carbon nanotubes assembled on the surface of graphene sheets. The addition of sulfur as a co-dopant is also highly beneficial, providing an 80 mV increase in the ORR onset potential in comparison to that of GC nanocomposites doped with only nitrogen. Excellent electrochemical stability of GC-NLS is also observed through 5000 electrode potential cycles, indicating the promising potential of this new class of dual-doped GC nanocomposites as ORR catalysts.
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
High-Performance Electrocatalysts for Oxygen Reduction Derived from Polyaniline, Iron, and Cobalt
Wu, G., More, K. L., Johnston, C. M., & Zelenay, P. (2011) · Science · doi:10.1126/science.1200832 · Cited by 3,984
Wang, H., Maiyalagan, T., & Wang, X. (2012) · ACS Catalysis · doi:10.1021/cs200652y · Cited by 3,618
High oxygen-reduction activity and durability of nitrogen-doped graphene
Geng, D., Chen, Y., Chen, Y., Li, Y., Li, R., Sun, X., Ye, S., & Knights, S. (2011) · Energy & Environmental Science · doi:10.1039/c0ee00326c · Cited by 1,219
Cited by
Electrically Rechargeable Zinc–Air Batteries: Progress, Challenges, and Perspectives
Fu, J., Cano, Z. P., Park, M. G., Yu, A., Fowler, M., & Chen, Z. (2017) · Advanced Materials · doi:10.1002/adma.201604685 · Cited by 1,594
Self-citationDuan, X., Sun, H., Wang, Y., Kang, J., & Wang, S. (2015) · ACS Catalysis · doi:10.1021/cs5017613 · Cited by 937
Wu, G., Santandreu, A., Kellogg, W., Gupta, S., Ogoke, O., Zhang, H., Wang, H.-L., & Dai, L. (2016) · Nano Energy · doi:10.1016/j.nanoen.2015.12.032 · Cited by 744
Li, R., Wei, Z., & Gou, X. (2015) · ACS Catalysis · doi:10.1021/acscatal.5b00601 · Cited by 709
Zhou, M., Wang, H.-L., & Guo, S. (2016) · Chemical Society Reviews · doi:10.1039/c5cs00414d · Cited by 665
Metadata
- Authors
- Higgins, D. C., Hoque, M. A., Hassan, F., Choi, J.-Y., Kim, B., & Chen, Z.
- Venue
- ACS Catalysis
- Publisher
- American Chemical Society (ACS)
- Published
- 2014-07-17
- Volume
- 4
- Issue
- 8
- Pages
- 2734-2740
- ISSN
- 2155-5435 (ISSN-L)
- OpenAlex
- W2032741794
- Cited by
- 192
- References
- 3
- FWCI
- 9.06
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Oxygen Reduction on Graphene–Carbon Nanotube Composites Doped Sequentially with Nitrogen and Sulfur. https://app.cochat.ai/papers/10.1021/cs5003806
- The paper
- Higgins, D. C., Hoque, M. A., Hassan, F., Choi, J.-Y., Kim, B., & Chen, Z. (2014). Oxygen Reduction on Graphene–Carbon Nanotube Composites Doped Sequentially with Nitrogen and Sulfur. ACS Catalysis. https://doi.org/10.1021/cs5003806
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.