Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 191

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Cellular Polypropylene Piezoelectret for Human Body Energy Harvesting and Health Monitoring

Wu, Nan, Cheng, Xiaofeng, Zhong, Qize, Zhong, Junwen, Li, Wenbo, Wang, Bo, Hu, Bin, Zhou, Jun·2015·Advanced Functional Materials

Abstract

Self‐powered and wearable electronics, which are away from the problems of batteries, can provide the sustainable and comfortable interactive service for people. In this work, cellular polypropylene piezoelectret, which is with excellent physical and electrical properties, is utilized to build the human body energy harvesting and self‐powered human health monitoring systems. The cellular polypropylene piezoelectret flexible generator can reach a maximum peak power density of ≈52.8 mW m−2. Simultaneously, self‐powered human body biological signals detecting sensors are demonstrated to detect the human physiological signals, such as coughing action and arterial pulses. This study strongly indicates the great compatibility and potential applications in human healthy monitoring may pave a new developing way for portable and wearable electronics systems.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/adfm.201501695

Cites

6 of 6 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 6 references

Cited by

See all 191

Metadata

Authors
Wu, N., Cheng, X., Zhong, Q., Zhong, J., Li, W., Wang, B., Hu, B., & Zhou, J.
Venue
Advanced Functional Materials
Publisher
Wiley
Published
2015-06-24
Volume
25
Issue
30
Pages
4788-4794
ISSN
  • 1616-301X (ISSN-L)
  • 1616-3028
OpenAlex
W1685840938
Cited by
191
References
6
FWCI
8.18
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: Cellular Polypropylene Piezoelectret for Human Body Energy Harvesting and Health Monitoring. https://app.cochat.ai/papers/10.1002/adfm.201501695
The paper
Wu, N., Cheng, X., Zhong, Q., Zhong, J., Li, W., Wang, B., Hu, B., & Zhou, J. (2015). Cellular Polypropylene Piezoelectret for Human Body Energy Harvesting and Health Monitoring. Advanced Functional Materials. https://doi.org/10.1002/adfm.201501695

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.