Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 482

The DOI matches its Crossref record; 220 of the 220 references it cites were found in a registry or an index.

Vanadium‐Based Nanomaterials: A Promising Family for Emerging Metal‐Ion Batteries

Xu, Xiaoming, Xiong, Fangyu, Meng, Jiashen, Wang, Xuanpeng, Niu, Chaojiang, An, Qinyou, Mai, Liqiang·2020·Advanced Functional Materials

Abstract

The emerging electrochemical energy storage systems beyond Li‐ion batteries, including Na/K/Mg/Ca/Zn/Al‐ion batteries, attract extensive interest as the development of Li‐ion batteries is seriously hindered by the scarce lithium resources. During the past years, large amounts of studies have focused on the investigation of various electrode materials toward emerging metal‐ion batteries to realize high energy density, high power density, and a long cycle life. In particular, vanadium‐based nanomaterials have received great attention. Vanadium‐based compounds have a big family with different structures, chemical compositions, and electrochemical properties, which provide huge possibilities for the development of emerging electrochemical energy storage. In this review, a comprehensive overview of the recent progresses of promising vanadium‐based nanomaterials for emerging metal‐ion batteries is presented. The vanadium‐based materials are classified into four groups: vanadium oxides, vanadates, vanadium phosphates, and oxygen‐free vanadium‐based compounds. The structures, electrochemical properties, and modification strategies are discussed. The structure–performance relationships and charge storage mechanisms are focused on. Finally, the perspectives about future directions of vanadium‐based nanomaterials for emerging energy storage devices are proposed. This review will provide comprehensive knowledge of vanadium‐based nanomaterials and shed light on their potential applications in emerging energy storage.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/adfm.201904398

Cites

220 of 220 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 220 references

Metadata

Authors
Xu, X., Xiong, F., Meng, J., Wang, X., Niu, C., An, Q., & Mai, L.
Venue
Advanced Functional Materials
Publisher
Wiley
Published
2020-01-08
Volume
30
Issue
10
ISSN
  • 1616-301X (ISSN-L)
  • 1616-3028
OpenAlex
W2999177320
Cited by
482
References
220
FWCI
23.55
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: Vanadium‐Based Nanomaterials: A Promising Family for Emerging Metal‐Ion Batteries. https://app.cochat.ai/papers/10.1002/adfm.201904398
The paper
Xu, X., Xiong, F., Meng, J., Wang, X., Niu, C., An, Q., & Mai, L. (2020). Vanadium‐Based Nanomaterials: A Promising Family for Emerging Metal‐Ion Batteries. Advanced Functional Materials. https://doi.org/10.1002/adfm.201904398

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.