Cited by 302Phase Change Materials ResearchAdsorption and Cooling SystemsGraphene research and applications

The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.

Fe 3 O 4 -functionalized graphene nanosheet embedded phase change material composites: efficient magnetic- and sunlight-driven energy conversion and storage

Wang, Wentao, Tang, Bingtao, Ju, Benzhi, Gao, Zhanming, Xiu, Jinghai, Zhang, Shufen·2017·Journal of Materials Chemistry A

Abstract

Magnetic- and sunlight-driven energy conversion and storage can be realized by using Fe 3 O 4 –GNS/PCM under an alternating magnetic field or solar illumination.

Overview

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Crossref · 10.1039/c6ta07144a

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52 of 52 references verified0 citation errors · 0 not checkable

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  1. Patil, 2013, Sci. Rep., 3, 1

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Metadata

Authors
Wang, W., Tang, B., Ju, B., Gao, Z., Xiu, J., & Zhang, S.
Affiliations
Dalian University of Technology (CN)
Corresponding author
Tang, Bingtao
Venue
Journal of Materials Chemistry A
Published
2017
Volume
5
Issue
3
Pages
958-968
ISSN
  • 2050-7488 (ISSN-L)
  • 2050-7496
OpenAlex
W2533025938
Cited by
302
References
52
Citations by year
2026: 15 · 2025: 18 · 2024: 21 · 2023: 35 · 2022: 38 · 2021: 35 · 2020: 42 · 2019: 41 · 2018: 36 · 2017: 21
FWCI
29.05
Type
journal article
Language
en
Open access
closed
Locations
Journal of Materials Chemistry A (publishedVersion)
Topics
  • Physical Sciences › Engineering › Mechanical Engineering › Phase Change Materials Research
  • Physical Sciences › Engineering › Mechanical Engineering › Adsorption and Cooling Systems
  • Physical Sciences › Materials Science › Materials Chemistry › Graphene research and applications
Keywords
magnetite, graphene nanosheets, phase change materials, magnetic nanocomposites, solar energy storage, solar thermal energy storage, magnetic hysteresis

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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.

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