The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
An Advanced Nitrogen‐Doped Graphene/Cobalt‐Embedded Porous Carbon Polyhedron Hybrid for Efficient Catalysis of Oxygen Reduction and Water Splitting
Abstract
A novel hybrid electrocatalyst consisting of nitrogen‐doped graphene/cobalt‐embedded porous carbon polyhedron (N/Co‐doped PCP//NRGO) is prepared through simple pyrolysis of graphene oxide‐supported cobalt‐based zeolitic imidazolate‐frameworks. Remarkable features of the porous carbon structure, N/Co‐doping effect, introduction of NRGO, and good contact between N/Co‐doped PCP and NRGO result in a high catalytic efficiency. The hybrid shows excellent electrocatalytic activities and kinetics for oxygen reduction reaction in basic media, which compares favorably with those of the Pt/C catalyst, together with superior durability, a four‐electron pathway, and excellent methanol tolerance. The hybrid also exhibits superior performance for hydrogen evolution reaction, offering a low onset overpotential of 58 mV and a stable current density of 10 mA cm−2 at 229 mV in acid media, as well as good catalytic performance for oxygen evolution reaction (a small overpotential of 1.66 V for 10 mA cm−2 current density). The dual‐active‐site mechanism originating from synergic effects between N/Co‐doped PCP and NRGO is responsible for the excellent performance of the hybrid. This development offers an attractive catalyst material for large‐scale fuel cells and water splitting technologies.
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
Opportunities and challenges for a sustainable energy future
Chu, S., & Majumdar, A. (2012) · Nature · doi:10.1038/nature11475 · Cited by 12,550
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
Hydrogen evolution by a metal-free electrocatalyst
Zheng, Y., Jiao, Y., Zhu, Y., Li, L. H., Han, Y., Chen, Y., Du, A., Jaroniec, M., & Qiao, S. Z. (2014) · Nature Communications · doi:10.1038/ncomms4783 · Cited by 2,236
Kong, D., Wang, H., Lu, Z., & Cui, Y. (2014) · Journal of the American Chemical Society · doi:10.1021/ja501497n · Cited by 1,392
Chen, Z., Cummins, D., Reinecke, B. N., Clark, E., Sunkara, M. K., & Jaramillo, T. F. (2011) · Nano Letters · doi:10.1021/nl2020476 · Cited by 1,153
Cao, B., Veith, G. M., Neuefeind, J. C., Adzic, R. R., & Khalifah, P. G. (2013) · Journal of the American Chemical Society · doi:10.1021/ja4081056 · Cited by 998
Li, D. J., Maiti, U. N., Lim, J., Choi, D. S., Lee, W. J., Oh, Y., Lee, G. Y., & Kim, S. O. (2014) · Nano Letters · doi:10.1021/nl404108a · Cited by 653
Wang, H., Lu, Z., Kong, D., Sun, J., Hymel, T. M., & Cui, Y. (2014) · ACS Nano · doi:10.1021/nn500959v · Cited by 611
Gan, L., Heggen, M., Rudi, S., & Strasser, P. (2012) · Nano Letters · doi:10.1021/nl302995z · Cited by 366
Domínguez, M., Taboada, E., Idriss, H., Molins, E., & Llorca, J. (2010) · Journal of Materials Chemistry · doi:10.1039/c0jm00184h · Cited by 111
Cited by
Etched and doped Co9S8/graphene hybrid for oxygen electrocatalysis
Dou, S., Tao, L., Huo, J., Wang, S., & Dai, L. (2016) · Energy & Environmental Science · doi:10.1039/c6ee00054a · Cited by 836
Recent developments of carbon-based electrocatalysts for hydrogen evolution reaction
Zhou, W., Jia, J., Lu, J., Yang, L., Hou, D., Li, G., & Chen, S. (2016) · Nano Energy · doi:10.1016/j.nanoen.2016.08.027 · Cited by 744
Zhang, H., An, P., Zhou, W., Guan, B. Y., Zhang, P., Dong, J., & Lou, X. W. (. (2018) · Science Advances · doi:10.1126/sciadv.aao6657 · Cited by 584
Zhang, H., Ma, Z., Duan, J., Liu, H., Liu, G., Wang, T., Chang, K., Li, M., Shi, L., Meng, X., et al. (2016) · ACS Nano · doi:10.1021/acsnano.5b05728 · Cited by 491
Yang, Y., Lin, Z., Gao, S., Su, J., Lun, Z., Xia, G., Chen, J., Zhang, R., & Chen, Q. (2017) · ACS Catalysis · doi:10.1021/acscatal.6b02573 · Cited by 423
Self-citation
Metadata
- Authors
- Hou, Y., Wen, Z., Cui, S., Ci, S., Mao, S., & Chen, J.
- Venue
- Advanced Functional Materials
- Publisher
- Wiley
- Published
- 2014-12-22
- Volume
- 25
- Issue
- 6
- Pages
- 872-882
- ISSN
- 1616-301X (ISSN-L)
- 1616-3028
- OpenAlex
- W2132326360
- Cited by
- 741
- References
- 10
- FWCI
- 25.11
- 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: An Advanced Nitrogen‐Doped Graphene/Cobalt‐Embedded Porous Carbon Polyhedron Hybrid for Efficient Catalysis of Oxygen Reduction and Water Splitting. https://app.cochat.ai/papers/10.1002/adfm.201403657
- The paper
- Hou, Y., Wen, Z., Cui, S., Ci, S., Mao, S., & Chen, J. (2015). An Advanced Nitrogen‐Doped Graphene/Cobalt‐Embedded Porous Carbon Polyhedron Hybrid for Efficient Catalysis of Oxygen Reduction and Water Splitting. Advanced Functional Materials. https://doi.org/10.1002/adfm.201403657
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.