Smart textile triboelectric nanogenerators: Current status and perspectives
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Health monitoring sensors are subject to noise and drift, which can cause fluctuations in the measurements they provide.
“First, sensors can be subject to noise and drift, which can cause fluctuations in the measurements they provide (Dong et al. 2021; Kai Dong et al. 2020; Takeda et al. 2014).”
From Artificial intelligence enhanced sensors - enabling technologies to next-generation healthcare and biomedical platform (2023) · cites this paper as Dong et al. 2021
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References 69 · Cited by 154
- Authors
- Dong, K., Hu, Y., Yang, J., Kim, S.-W., Hu, W., & Wang, Z. L.
- Affiliations
- Chinese Academy of Sciences (CN)
- Peking University (CN)
- Chongqing University (CN)
- Sungkyunkwan University (KR)
- Georgia Institute of Technology (US)
- Corresponding author
- Wang, Zhong Lin
- Venue
- MRS Bulletin
- Published
- 2021-06
- Volume
- 46
- Issue
- 6
- Pages
- 512-521
- ISSN
- 0883-7694 (ISSN-L)
- 1938-1425
- OpenAlex
- W3166272786
- Cited by
- 154
- References
- 69
- Citations by year
- 2026: 7 · 2025: 19 · 2024: 23 · 2023: 43 · 2022: 48 · 2021: 14
- FWCI
- 9.56
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- MRS Bulletin (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Advanced Sensor and Energy Harvesting Materials
- Physical Sciences › Engineering › Mechanics of Materials › Tribology and Wear Analysis
- Physical Sciences › Engineering › Mechanical Engineering › Innovative Energy Harvesting Technologies
- Keywords
- smart textiles, wearable electronics, self-powered sensing, energy harvesting, commercialization roadmap
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 ›
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