The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Highly efficient nonprecious metal catalyst prepared with metal–organic framework in a continuous carbon nanofibrous network
Open accessAbstract
Significance: The performance of conventional carbon-supported catalysts is strongly influenced by the support morphology, which contains micropores, mesopores, and macropores. Whereas micropores host the majority of the active sites and macropores promote effective reagent/product mass transfer, mesopores contribute a limited role in both but occupy a significant fraction of the total pore volume. For catalytic applications where maximizing active site number and mass/charge transports with the highest possible catalyst density is essential, conventional carbon supports are no longer suitable. In this paper, we introduce a previously unidentified catalyst’s morphology with a high catalytic active surface concentrated nearly exclusively in micropores while transferring reactant/product via a macroporous nanofiber framework. The nonprecious metal catalyst with such architecture demonstrated unprecedented activity in fuel cell tests.
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
Gasteiger, H. A., Kocha, S. S., Sompalli, B., & Wagner, F. T. (2005) · Applied Catalysis B: Environmental · doi:10.1016/j.apcatb.2004.06.021 · Cited by 4,876
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
Yang, S., Feng, X., Wang, X., & Müllen, K. (2011) · Angewandte Chemie International Edition · doi:10.1002/anie.201100170 · Cited by 1,109
Cited by
Recent Advances in Electrocatalysts for Oxygen Reduction Reaction
Shao, M., Chang, Q., Dodelet, J.-P., & Chenitz, R. (2016) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00462 · Cited by 3,903
Wan, X., Liu, X., Li, Y., Yu, R., Zheng, L., Yan, W., Wang, H., Xu, M., & Shui, J. (2019) · Nature Catalysis · doi:10.1038/s41929-019-0237-3 · Cited by 1,379
Self-citationUltralow-loading platinum-cobalt fuel cell catalysts derived from imidazolate frameworks
Chong, L., Wen, J., Kubal, J., Sen, F. G., Zou, J., Greeley, J., Chan, M., Barkholtz, H., Ding, W., & Liu, D.-J. (2018) · Science · doi:10.1126/science.aau0630 · Cited by 1,100
Self-citationHigh performance platinum single atom electrocatalyst for oxygen reduction reaction
Liu, J., Jiao, M., Lu, L., Barkholtz, H. M., Li, Y., Wang, Y., Jiang, L., Wu, Z., Liu, D.-J., Zhuang, L., et al. (2017) · Nature Communications · doi:10.1038/ncomms15938 · Cited by 772
Self-citationDesign Strategies toward Advanced MOF‐Derived Electrocatalysts for Energy‐Conversion Reactions
Liu, J., Zhu, D., Guo, C., Vasileff, A., & Qiao, S. (2017) · Advanced Energy Materials · doi:10.1002/aenm.201700518 · Cited by 668
Metadata
- Authors
- Shui, J., Chen, C., Grabstanowicz, L., Zhao, D., & Liu, D.-J.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2015-08-10
- Volume
- 112
- Issue
- 34
- Pages
- 10629-10634
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W1898909288
- Cited by
- 400
- References
- 3
- FWCI
- 15.35
- Type
- journal article
- Language
- en
- Open access
- green
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: Highly efficient nonprecious metal catalyst prepared with metal–organic framework in a continuous carbon nanofibrous network. https://app.cochat.ai/papers/10.1073/pnas.1507159112
- The paper
- Shui, J., Chen, C., Grabstanowicz, L., Zhao, D., & Liu, D.-J. (2015). Highly efficient nonprecious metal catalyst prepared with metal–organic framework in a continuous carbon nanofibrous network. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1507159112
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.
