The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Metal‐Organic Framework‐Derived Non‐Precious Metal Nanocatalysts for Oxygen Reduction Reaction
Abstract
By virtue of diverse structures and tunable properties, metal‐organic frameworks (MOFs) have presented extensive applications including gas capture, energy storage, and catalysis. Recently, synthesis of MOFs and their derived nanomaterials provide an opportunity to obtain competent oxygen reduction reaction (ORR) electrocatalysts due to their large surface area, controllable composition and pore structure. This review starts with the introduction of MOFs and current challenges of ORR, followed by the discussion of MOF‐based non‐precious metal nanocatalysts (metal‐free and metal/metal oxide‐based carbonaceous materials) and their application in ORR electrocatalysis. Current issues in MOF‐derived ORR catalysts and some corresponding strategies in terms of composition and morphology to enhance their electrocatalytic performance are highlighted. In the last section, a perspective for future development of MOFs and their derivatives as catalysts for ORR is discussed.
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
Combining theory and experiment in electrocatalysis: Insights into materials design
Seh, Z. W., Kibsgaard, J., Dickens, C. F., Chorkendorff, I., Nørskov, J. K., & Jaramillo, T. F. (2017) · Science · doi:10.1126/science.aad4998 · Cited by 12,114
Electrocatalyst approaches and challenges for automotive fuel cells
Debe, M. K. (2012) · Nature · doi:10.1038/nature11115 · Cited by 5,885
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
Highly Crystalline Multimetallic Nanoframes with Three-Dimensional Electrocatalytic Surfaces
Chen, C., Kang, Y., Huo, Z., Zhu, Z., Huang, W., Xin, H. L., Snyder, J. D., Li, D., Herron, J. A., Mavrikakis, M., et al. (2014) · Science · doi:10.1126/science.1249061 · Cited by 2,765
Recent advancements in Pt and Pt-free catalysts for oxygen reduction reaction
Nie, Y., Li, L., & Wei, Z. (2015) · Chemical Society Reviews · doi:10.1039/c4cs00484a · Cited by 2,156
Zhong, H., Wang, J., Zhang, Y., Xu, W., Xing, W., Xu, D., Zhang, Y., & Zhang, X. (2014) · Angewandte Chemie International Edition · doi:10.1002/anie.201408990 · Cited by 938
Zhu, C., Du, D., Eychmüller, A., & Lin, Y. (2015) · Chemical Reviews · doi:10.1021/acs.chemrev.5b00255 · Cited by 672
Self-citationHan, L., Yu, X., & Lou, X. W. (. (2016) · Advanced Materials · doi:10.1002/adma.201506315 · Cited by 633
Tang, J., Liu, J., Li, C., Li, Y., Tade, M. O., Dai, S., & Yamauchi, Y. (2015) · Angewandte Chemie International Edition · doi:10.1002/anie.201407629 · Cited by 630
Cited by
Multifunctional Transition Metal‐Based Phosphides in Energy‐Related Electrocatalysis
Li, Y., Dong, Z., & Jiao, L. (2020) · Advanced Energy Materials · doi:10.1002/aenm.201902104 · Cited by 603
Wang, R., Dong, X., Du, J., Zhao, J., & Zang, S. (2018) · Advanced Materials · doi:10.1002/adma.201703711 · Cited by 580
Wang, C., Kaneti, Y. V., Bando, Y., Lin, J., Liu, C., Li, J., & Yamauchi, Y. (2018) · Materials Horizons · doi:10.1039/c8mh00133b · Cited by 533
Cheng, N., Ren, L., Xu, X., Du, Y., & Dou, S. X. (2018) · Advanced Energy Materials · doi:10.1002/aenm.201801257 · Cited by 359
MOF-derived nanohybrids for electrocatalysis and energy storage: current status and perspectives
Zhang, H., Liu, X., Wu, Y., Guan, C., Cheetham, A. K., & Wang, J. (2018) · Chemical Communications · doi:10.1039/c8cc00789f · Cited by 309
Metadata
- Authors
- Fu, S., Zhu, C., Song, J., Du, D., & Lin, Y.
- Venue
- Advanced Energy Materials
- Publisher
- Wiley
- Published
- 2017-05-16
- Volume
- 7
- Issue
- 19
- ISSN
- 1614-6832 (ISSN-L)
- 1614-6840
- OpenAlex
- W2614779834
- Cited by
- 358
- References
- 9
- FWCI
- 11.81
- 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: Metal‐Organic Framework‐Derived Non‐Precious Metal Nanocatalysts for Oxygen Reduction Reaction. https://app.cochat.ai/papers/10.1002/aenm.201700363
- The paper
- Fu, S., Zhu, C., Song, J., Du, D., & Lin, Y. (2017). Metal‐Organic Framework‐Derived Non‐Precious Metal Nanocatalysts for Oxygen Reduction Reaction. Advanced Energy Materials. https://doi.org/10.1002/aenm.201700363
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.