Cited by 2,174Advanced Sensor and Energy Harvesting MaterialsInnovative Energy Harvesting TechnologiesTribology and Wear Analysis

Progress in triboelectric nanogenerators as a new energy technology and self-powered sensors

Wang, Zhong Lin, Chen, Jun, Lin, Long·2015·Energy & Environmental Science

Abstract

A review on the principles, novel applications and perspectives of triboelectric nanogenerators as power sources and as self-powered sensors.

Integrity signals

Registry

Crossref · 10.1039/c5ee01532d

Cites

140 of 140 references verified0 citation errors · 0 not checkable

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Claims other papers make about this one

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  • TENG is a newly developed micro-energy technique with many unique characteristics.

    “On the other hand, triboelectric nanogenerator (TENG) is a newly developed micro-energy technique with many unique characteristics (19–22)”

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Authors
Wang, Z. L., Chen, J., & Lin, L.
Affiliations
Georgia Institute of Technology (US)
Corresponding author
Wang, Zhong Lin
Venue
Energy & Environmental Science
Published
2015
Volume
8
Issue
8
Pages
2250-2282
ISSN
  • 1754-5692 (ISSN-L)
  • 1754-5706
OpenAlex
W1907979007
Cited by
2,174
References
140
Citations by year
2026: 124 · 2025: 184 · 2024: 159 · 2023: 207 · 2022: 249 · 2021: 247 · 2020: 253 · 2019: 229 · 2018: 238 · 2017: 159 · 2016: 104 · 2015: 20
FWCI
86.40
Type
journal article
Language
en
Open access
closed
Locations
Energy & Environmental Science (publishedVersion)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
  • Physical Sciences › Engineering › Mechanical Engineering › Innovative Energy Harvesting Technologies
  • Physical Sciences › Engineering › Mechanics of Materials › Tribology and Wear Analysis
Keywords
triboelectric nanogenerator, self-powered sensors, energy harvesting, power sources, triboelectric charging, wearable electronics, energy technology

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.

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