Cited by 130Advanced Sensor and Energy Harvesting MaterialsAdvanced Fiber Optic SensorsPhotonic Crystal and Fiber Optics

A multifunctional skin-like wearable optical sensor based on an optical micro-/nanofibre

Pan, Jing, Zhang, Zhang, Jiang, Chengpeng, Zhang, Lei, Tong, Limin·2020·Nanoscale

Abstract

Multifunctional skin-like sensors play an important role in next-generation healthcare, robotics, and bioelectronics.

Integrity signals

Registry

Crossref · 10.1039/d0nr03446k

Cites

60 of 60 references verified0 citation errors · 0 not checkable

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Authors
Pan, J., Zhang, Z., Jiang, C., Zhang, L., & Tong, L.
Affiliations
  • State Key Laboratory of Modern Optical Instruments (CN)
  • Zhejiang Lab (CN)
Corresponding author
  • Zhang, Lei
  • Tong, Limin
Venue
Nanoscale
Published
2020
Volume
12
Issue
33
Pages
17538-17544
ISSN
  • 2040-3364 (ISSN-L)
  • 2040-3372
OpenAlex
W3045603366
Cited by
130
References
60
Citations by year
2026: 15 · 2025: 20 · 2024: 34 · 2023: 28 · 2022: 19 · 2021: 14
FWCI
4.79
Type
journal article
Language
en
Open access
closed
Locations
  • Nanoscale (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Basic Research Program of China (2016YFB1001300)
  • National Natural Science Foundation of China (61975173, 11527901)
  • Natural Science Foundation of Zhejiang Province (2020MC2GD01)
Topics
  • Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Fiber Optic Sensors
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Photonic Crystal and Fiber Optics
Keywords
strain sensing, temperature sensing, polydimethylsiloxane, gauge factor, respiratory monitoring, body temperature monitoring
MeSH terms
Wearable Electronic Devices, Humans, Motion, Textiles, Optics and Photonics, Nanofibers

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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.

Statistics and arithmetic are recomputed, not judged.

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