The DOI matches its Crossref record.
Preparation and Exceptional Lithium Anodic Performance of Porous Carbon-Coated ZnO Quantum Dots Derived from a Metal–Organic Framework
Abstract
Hierarchically porous carbon-coated ZnO quantum dots (QDs) (~3.5 nm) were synthesized by a one-step controlled pyrolysis of the metal-organic framework IRMOF-1. We have demonstrated a scalable and facile synthesis of carbon-coated ZnO QDs without agglomeration by structural reorganization. This unique microstructure exhibits outstanding electrochemical performance (capacity, cyclability, and rate capability) when evaluated as an anode material for lithium ion batteries.
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
Cited by
Wu, H. B., Xia, B. Y., Yu, L., Yu, X.-Y., & Lou, X. W. (2015) · Nature Communications · doi:10.1038/ncomms7512 · Cited by 1,434
Metal‐Organic Framework‐Based Nanomaterials for Electrocatalysis
Mahmood, A., Guo, W., Tabassum, H., & Zou, R. (2016) · Advanced Energy Materials · doi:10.1002/aenm.201600423 · Cited by 632
Conversion Reaction‐Based Oxide Nanomaterials for Lithium Ion Battery Anodes
Yu, S., Lee, S. H., Lee, D. J., Sung, Y., & Hyeon, T. (2016) · Small · doi:10.1002/smll.201502299 · Cited by 499
Li, X., Wang, Z., Zhang, B., Rykov, A. I., Ahmed, M. A., & Wang, J. (2016) · Applied Catalysis B: Environmental · doi:10.1016/j.apcatb.2015.08.050 · Cited by 473
Bio-inspired Murray materials for mass transfer and activity
Zheng, X., Shen, G., Wang, C., Li, Y., Dunphy, D., Hasan, T., Brinker, C. J., & Su, B.-L. (2017) · Nature Communications · doi:10.1038/ncomms14921 · Cited by 284
Metadata
- Authors
- Yang, S. J., Nam, S., Kim, T., Im, J. H., Jung, H., Kang, J. H., Wi, S., Park, B., & Park, C. R.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-05-09
- Volume
- 135
- Issue
- 20
- Pages
- 7394-7397
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2079054933
- Cited by
- 518
- References
- 0
- FWCI
- 35.55
- 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: Preparation and Exceptional Lithium Anodic Performance of Porous Carbon-Coated ZnO Quantum Dots Derived from a Metal–Organic Framework. https://app.cochat.ai/papers/10.1021/ja311550t
- The paper
- Yang, S. J., Nam, S., Kim, T., Im, J. H., Jung, H., Kang, J. H., Wi, S., Park, B., & Park, C. R. (2013). Preparation and Exceptional Lithium Anodic Performance of Porous Carbon-Coated ZnO Quantum Dots Derived from a Metal–Organic Framework. Journal of the American Chemical Society. https://doi.org/10.1021/ja311550t
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.
