The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.
Graphene‐Network‐Backboned Architectures for High‐Performance Lithium Storage
Abstract
An efficient hydrothermal approach is demonstrated to fabricate a series of graphene-network-backboned hybrid architectures such as MoS₂/graphene and FeOx/graphene, showing high specific surface area, porous structure, and continuous graphene networks. Such unique architectures exhibit a high reversible capacity (about 1100 mA h g⁻¹) for lithium ion batteries. High-rate capabilities of full charge to discharge in 25-45 s with a long cycle life (1500 cycles) are achieved at different rates.
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
Nanostructured materials for advanced energy conversion and storage devices
Aricò, A. S., Bruce, P., Scrosati, B., Tarascon, J.-M., & van Schalkwijk, W. (2005) · Nature Materials · doi:10.1038/nmat1368 · Cited by 8,826
Nano-sized transition-metal oxides as negative-electrode materials for lithium-ion batteries
Poizot, P., Laruelle, S., Grugeon, S., Dupont, L., & Tarascon, J.-M. (2000) · Nature · doi:10.1038/35035045 · Cited by 8,041
High-performance lithium battery anodes using silicon nanowires
Chan, C. K., Peng, H., Liu, G., McIlwrath, K., Zhang, X. F., Huggins, R. A., & Cui, Y. (2008) · Nature Nanotechnology · doi:10.1038/nnano.2007.411 · Cited by 6,683
Nanomaterials for Rechargeable Lithium Batteries
Bruce, P. G., Scrosati, B., & Tarascon, J. (2008) · Angewandte Chemie International Edition · doi:10.1002/anie.200702505 · Cited by 5,886
Battery materials for ultrafast charging and discharging
Kang, B., & Ceder, G. (2009) · Nature · doi:10.1038/nature07853 · Cited by 3,480
Electrodes with High Power and High Capacity for Rechargeable Lithium Batteries
Kang, K., Meng, Y. S., Bréger, J., Grey, C. P., & Ceder, G. (2006) · Science · doi:10.1126/science.1122152 · Cited by 2,638
Wu, H., Chan, G., Choi, J. W., Ryu, I., Yao, Y., McDowell, M. T., Lee, S. W., Jackson, A., Yang, Y., Hu, L., et al. (2012) · Nature Nanotechnology · doi:10.1038/nnano.2012.35 · Cited by 2,478
High-performance lithium-ion anodes using a hierarchical bottom-up approach
Magasinski, A., Dixon, P., Hertzberg, B., Kvit, A., Ayala, J., & Yushin, G. (2010) · Nature Materials · doi:10.1038/nmat2725 · Cited by 2,044
Taberna, P. L., Mitra, S., Poizot, P., Simon, P., & Tarascon, J.-M. (2006) · Nature Materials · doi:10.1038/nmat1672 · Cited by 2,010
Mn3O4−Graphene Hybrid as a High-Capacity Anode Material for Lithium Ion Batteries
Wang, H., Cui, L.-F., Yang, Y., Sanchez Casalongue, H., Robinson, J. T., Liang, Y., Cui, Y., & Dai, H. (2010) · Journal of the American Chemical Society · doi:10.1021/ja105296a · Cited by 1,948
Cited by
Nanostructured Mo-based electrode materials for electrochemical energy storage
Hu, X., Zhang, W., Liu, X., Mei, Y., & Huang, Y. (2015) · Chemical Society Reviews · doi:10.1039/c4cs00350k · Cited by 711
Design of advanced porous graphene materials: from graphene nanomesh to 3D architectures
Jiang, L., & Fan, Z. (2014) · Nanoscale · doi:10.1039/c3nr04555b · Cited by 686
Zhao, Y., Wang, L. P., Sougrati, M. T., Feng, Z., Leconte, Y., Fisher, A., Srinivasan, M., & Xu, Z. (2017) · Advanced Energy Materials · doi:10.1002/aenm.201601424 · Cited by 586
Wang, J., Liu, J., Chao, D., Yan, J., Lin, J., & Shen, Z. X. (2014) · Advanced Materials · doi:10.1002/adma.201402728 · Cited by 442
Peng, S., Li, L., Han, X., Sun, W., Srinivasan, M., Mhaisalkar, S. G., Cheng, F., Yan, Q., Chen, J., & Ramakrishna, S. (2014) · Angewandte Chemie International Edition · doi:10.1002/anie.201408876 · Cited by 428
Metadata
- Authors
- Gong, Y., Yang, S., Liu, Z., Ma, L., Vajtai, R., & Ajayan, P. M.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2013-06-13
- Volume
- 25
- Issue
- 29
- Pages
- 3979-3984
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2027155155
- Cited by
- 261
- References
- 29
- FWCI
- 30.95
- 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: Graphene‐Network‐Backboned Architectures for High‐Performance Lithium Storage. https://app.cochat.ai/papers/10.1002/adma.201301051
- The paper
- Gong, Y., Yang, S., Liu, Z., Ma, L., Vajtai, R., & Ajayan, P. M. (2013). Graphene‐Network‐Backboned Architectures for High‐Performance Lithium Storage. Advanced Materials. https://doi.org/10.1002/adma.201301051
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.