The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Highly Reversible Lithium Storage in Porous SnO2 Nanotubes with Coaxially Grown Carbon Nanotube Overlayers
Abstract
The preparation of SnO2 nanotubes with coaxially grown carbon nanotube overlayers with good conformal control of shape and size is reported. The SnO2-core/carbon-shell nanotubes (see Figure) are excellent reversible lithium-ion storage compounds combining the best features of carbon (for cyclability) and SnO2 (for capacity). These structures deliver high specific capacity (∼ 540–600 mA h g–1) and good cyclability (0.0375% capacity loss per cycle).
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Cites
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Three‐Dimensional Porous Copper–Tin Alloy Electrodes for Rechargeable Lithium Batteries
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Cited by
Advanced Materials for Energy Storage
Liu, C., Li, F., Ma, L., & Cheng, H. (2010) · Advanced Materials · doi:10.1002/adma.200903328 · Cited by 4,765
Review on recent progress of nanostructured anode materials for Li-ion batteries
Goriparti, S., Miele, E., De Angelis, F., Di Fabrizio, E., Proietti Zaccaria, R., & Capiglia, C. (2014) · Journal of Power Sources · doi:10.1016/j.jpowsour.2013.11.103 · Cited by 2,092
Template‐Free Synthesis of SnO2 Hollow Nanostructures with High Lithium Storage Capacity
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Self-citationDesigned Synthesis of Coaxial SnO2@carbon Hollow Nanospheres for Highly Reversible Lithium Storage
Lou, X. W., Li, C. M., & Archer, L. A. (2009) · Advanced Materials · doi:10.1002/adma.200803439 · Cited by 1,043
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Self-citation
Metadata
- Authors
- Wang, Y., Zeng, H. C., & Lee, J. Y.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2006-03-02
- Volume
- 18
- Issue
- 5
- Pages
- 645-649
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2064853428
- Cited by
- 493
- References
- 20
- FWCI
- 27.67
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wang, Y., Zeng, H. C., & Lee, J. Y. (2006). Highly Reversible Lithium Storage in Porous SnO2 Nanotubes with Coaxially Grown Carbon Nanotube Overlayers. Advanced Materials. https://doi.org/10.1002/adma.200501883
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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