The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
High‐Energy Asymmetric Supercapacitor Yarns for Self‐Charging Power Textiles
Abstract
Rapid growth of electronic textile increases the demand for textile‐based power sources, which should have comparable lightweight, flexibility, and comfort. In this work, a self‐charging power textile interwoven by all‐yarn‐based energy‐harvesting triboelectric nanogenerators (TENG) and energy‐storing yarn‐type asymmetric supercapacitors (Y‐ASC) is reported. Common polyester yarns with conformal Ni/Cu coating are utilized as 1D current collectors in Y‐ASCs and electrodes in TENGs. The solid‐state Y‐ASC achieves high areal energy density (≈78.1 µWh cm−2), high power density (14 mW cm−2), stable cycling performance (82.7% for 5000 cycles), and excellent flexibility (1000 cycles bending for 180°). The TENG yarn can be woven into common fabrics with desired stylish designs to harvest energy from human daily motions at high output (≈60 V open‐circuit voltage and ≈3 µA short‐circuit current). The integrated self‐charging power textile is demonstrated to power an electronic watch without extra recharging by other power sources, suggesting its promising applications in electronic textiles and wearable electronics.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis
Gao, W., Emaminejad, S., Nyein, H. Y. Y., Challa, S., Chen, K., Peck, A., Fahad, H. M., Ota, H., Shiraki, H., Kiriya, D., et al. (2016) · Nature · doi:10.1038/nature16521 · Cited by 5,087
Huang, Y., Ip, W. S., Lau, Y. Y., Sun, J., Zeng, J., Yeung, N. S. S., Ng, W. S., Li, H., Pei, Z., Xue, Q., et al. (2017) · ACS Nano · doi:10.1021/acsnano.7b03322 · Cited by 352
Cited by
Zhao, Z., Xia, K., Hou, Y., Zhang, Q., Ye, Z., & Lu, J. (2021) · Chemical Society Reviews · doi:10.1039/d1cs00800e · Cited by 490
Hassan, M., Abbas, G., Li, N., Afzal, A., Haider, Z., Ahmed, S., Xu, X., Pan, C., & Peng, Z. (2022) · Advanced Materials Technologies · doi:10.1002/admt.202100773 · Cited by 284
Metadata
- Authors
- Liu, M., Cong, Z., Pu, X., Guo, W., Liu, T., Li, M., Zhang, Y., Hu, W., & Wang, Z. L.
- Venue
- Advanced Functional Materials
- Publisher
- Wiley
- Published
- 2019-01-08
- Volume
- 29
- Issue
- 41
- ISSN
- 1616-301X (ISSN-L)
- 1616-3028
- OpenAlex
- W2909429670
- Cited by
- 166
- References
- 2
- FWCI
- 8.62
- Type
- journal article
- Language
- en
- Open access
- closed
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: High‐Energy Asymmetric Supercapacitor Yarns for Self‐Charging Power Textiles. https://app.cochat.ai/papers/10.1002/adfm.201806298
- The paper
- Liu, M., Cong, Z., Pu, X., Guo, W., Liu, T., Li, M., Zhang, Y., Hu, W., & Wang, Z. L. (2019). High‐Energy Asymmetric Supercapacitor Yarns for Self‐Charging Power Textiles. Advanced Functional Materials. https://doi.org/10.1002/adfm.201806298
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.