The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Electrospun CoSe@N-doped carbon nanofibers with highly capacitive Li storage
Abstract
Abstract One-dimensional nano-structured materials have attracted attention due to its unique properties afforded such as the across-linked structures and large aspect ratios. In this work, one-dimensional CoSe@N-doped carbon nanofibers (CoSe@NC NFs) are successfully by combining the techniques of electrospinning and annealing. Selenium powder are directly dispersed in the polyacrylonitrile /N,N-Dimethylformamide (DMF) solution containing cobalt salt to form the product. The performance of these materials was investigated in Li-ion batteries after the annealing at different temperatures. The CoSe@NC nanofibers annealed at 550 °C (CoSe@NC-550) and displayed excellent storage properties, affording a high capacity of 796 mAh·g−1 at a current density of 1 A·g−1 for 100 cycles. Moreover, it is confirmed that the pseudocapacitive contribution of CoSe@NC-550 is up to 72.8% at the scan rate of 1 mV/s through the cyclic voltammetry analysis.
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
Thackeray, M. M., Wolverton, C., & Isaacs, E. D. (2012) · Energy & Environmental Science · doi:10.1039/c2ee21892e · Cited by 2,515
Cited by
Na 3 V 2 (PO 4 ) 3 : an advanced cathode for sodium-ion batteries
Zhang, X., Rui, X., Chen, D., Tan, H., Yang, D., Huang, S., & Yu, Y. (2019) · Nanoscale · doi:10.1039/c8nr09391a · Cited by 336
ZIF-67-Derived N-Doped Co/C Nanocubes as High-Performance Anode Materials for Lithium-Ion Batteries
Wang, L., Wang, Z., Xie, L., Zhu, L., & Cao, X. (2019) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.9b03365 · Cited by 265
Metadata
- Authors
- Liu, J., Liang, J., Wang, C., & Ma, J.
- Venue
- Journal of Energy Chemistry
- Publisher
- Elsevier BV
- Published
- 2019-06
- Volume
- 33
- Pages
- 160-166
- ISSN
- 2095-4956 (ISSN-L)
- OpenAlex
- W2889568117
- Cited by
- 161
- References
- 1
- FWCI
- 9.88
- 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: Electrospun CoSe@N-doped carbon nanofibers with highly capacitive Li storage. https://app.cochat.ai/papers/10.1016/j.jechem.2018.09.006
- The paper
- Liu, J., Liang, J., Wang, C., & Ma, J. (2019). Electrospun CoSe@N-doped carbon nanofibers with highly capacitive Li storage. Journal of Energy Chemistry. https://doi.org/10.1016/j.jechem.2018.09.006
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.
