Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 26Supercapacitor Materials and FabricationElectrocatalysts for Energy ConversionMXene and MAX Phase Materials

The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.

Preparation of ultrafine microporous nitrogen self-doped chitosan (CS) carbon aerogel based on a Zn-Zn system for high-performance supercapacitors

Hu, Jiashuo, Zhao, Chengwang, Si, Yanxiao, Hong, Chen, Xing, Yi, Wang, Yijie, Ling, Wei, Feng, Weibo, Feng, Lihui·2023·Applied Surface Science
DOI 10.1016/j.apsusc.2023.157910
Open this paper in CoChat — free account

Overview

Integrity signals

Registry

Crossref · 10.1016/j.apsusc.2023.157910

Cites

56 of 56 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 56 references

Cited by

See all 26

Metadata

Authors
Hu, J., Zhao, C., Si, Y., Hong, C., Xing, Y., Wang, Y., Ling, W., Feng, W., & Feng, L.
Affiliations
  • University of Science and Technology Beijing (CN)
  • Sinopec (China) (CN)
Corresponding author
Hong, Chen
ORCID
Venue
Applied Surface Science
Publisher
Elsevier BV
Published
2023-11
Volume
637
Pages
157910
ISSN
0169-4332 (ISSN-L)
DOI
10.1016/j.apsusc.2023.157910
OpenAlex
W4382405318
Cited by
26
References
56
Citations by year
2026: 7 · 2025: 4 · 2024: 6 · 2023: 9
FWCI
1.57
Type
journal article
Language
en
Open access
closed
Licence
Locations
Applied Surface Science (publishedVersion)
Topics
  • Physical Sciences › Materials Science › Electronic, Optical and Magnetic Materials › Supercapacitor Materials and Fabrication
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Electrocatalysts for Energy Conversion
  • Physical Sciences › Materials Science › Materials Chemistry › MXene and MAX Phase Materials
Keywords
nitrogen doping, supercapacitor electrodes, ZnCl2 activation, chitosan hydrogel, freeze-drying, carbonization, microporous carbon, biomass-derived carbon, specific capacitance, pseudocapacitance, energy density

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 of ultrafine microporous nitrogen self-doped chitosan (CS) carbon aerogel based on a Zn-Zn system for high-performance supercapacitors. https://app.cochat.ai/papers/10.1016/j.apsusc.2023.157910
The paper
Hu, J., Zhao, C., Si, Y., Hong, C., Xing, Y., Wang, Y., Ling, W., Feng, W., & Feng, L. (2023). Preparation of ultrafine microporous nitrogen self-doped chitosan (CS) carbon aerogel based on a Zn-Zn system for high-performance supercapacitors. Applied Surface Science. https://doi.org/10.1016/j.apsusc.2023.157910

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.