The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Acid-etched layered double hydroxides with rich defects for enhancing the oxygen evolution reaction
Abstract
Simple acid etching generates multiple defects and promotes the exfoliation of CoFe LDHs for superior electrocatalytic OER performance.
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Electrocatalysis for the oxygen evolution reaction: recent development and future perspectives
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Cited by
Defect Engineering on Electrode Materials for Rechargeable Batteries
Zhang, Y., Tao, L., Xie, C., Wang, D., Zou, Y., Chen, R., Wang, Y., Jia, C., & Wang, S. (2020) · Advanced Materials · doi:10.1002/adma.201905923 · Cited by 1,019
Self-citationIn Situ/Operando Electrocatalyst Characterization by X-ray Absorption Spectroscopy
Timoshenko, J., & Roldan Cuenya, B. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.0c00396 · Cited by 931
2D Layered Double Hydroxides for Oxygen Evolution Reaction: From Fundamental Design to Application
Lv, L., Yang, Z., Chen, K., Wang, C., & Xiong, Y. (2019) · Advanced Energy Materials · doi:10.1002/aenm.201803358 · Cited by 730
Defect Chemistry in Heterogeneous Catalysis: Recognition, Understanding, and Utilization
Xie, C., Yan, D., Li, H., Du, S., Chen, W., Wang, Y., Zou, Y., Chen, R., & Wang, S. (2020) · ACS Catalysis · doi:10.1021/acscatal.0c03034 · Cited by 623
Self-citationChen, W., Wu, B., Wang, Y., Zhou, W., Li, Y., Liu, T., Xie, C., Xu, L., Du, S., Song, M., et al. (2021) · Energy & Environmental Science · doi:10.1039/d1ee01395e · Cited by 587
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Metadata
- Authors
- Zhou, P., Wang, Y., Xie, C., Chen, C., Liu, H., Chen, R., Huo, J., & Wang, S.
- Venue
- Chem. Commun.
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2017
- Volume
- 53
- Issue
- 86
- Pages
- 11778-11781
- ISSN
- 1359-7345 (ISSN-L)
- 1364-548X
- OpenAlex
- W2763198041
- Cited by
- 234
- References
- 6
- FWCI
- 6.40
- Type
- journal article
- Language
- en
- Open access
- closed
- Funders
- National Natural Science Foundation of China (21573066, 21701043, 51402100)
- Natural Science Foundation of Hunan Province (2016JJ1006, 2016TP1009)
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
