The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Natural Leaf Made Triboelectric Nanogenerator for Harvesting Environmental Mechanical Energy
Abstract
Distributed environmental mechanical energy is rarely collected due to its fluctuating amplitudes and low frequency, which is usually attributed as “random” energy. Considering the rapid development of the Internet of things (IoT), there is a great need for a large number of distributed and sustainable power sources. Here, a natural leaf assembled triboelectric nanogenerator (Leaf‐TENG) is designed by utilizing the green leaf as an electrification layer and electrode to effectively harvest environmental mechanical energy. The Leaf‐TENG with good adaptability has the maximum output power of ≈45 mW m−2, which is capable of driving advertising LEDs and commercial electronic temperature sensors. Besides, a tree‐shaped energy harvester is integrated with natural Leaf‐TENG to harvest large‐area environmental mechanical energy. This work provides a new prospect for distributed and environmental‐friendly power sources and has potential applications in the IoT and self‐powered 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.
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
Opportunities and challenges for a sustainable energy future
Chu, S., & Majumdar, A. (2012) · Nature · doi:10.1038/nature11475 · Cited by 12,550
Flexible triboelectric generator
Fan, F.-R., Tian, Z.-Q., & Lin Wang, Z. (2012) · Nano Energy · doi:10.1016/j.nanoen.2012.01.004 · Cited by 6,705
Wang, Z. L. (2013) · ACS Nano · doi:10.1021/nn404614z · Cited by 3,058
Self-citationProgress in triboelectric nanogenerators as a new energy technology and self-powered sensors
Wang, Z. L., Chen, J., & Lin, L. (2015) · Energy & Environmental Science · doi:10.1039/c5ee01532d · Cited by 2,174
Self-citationOn Maxwell's displacement current for energy and sensors: the origin of nanogenerators
Wang, Z. L. (2017) · Materials Today · doi:10.1016/j.mattod.2016.12.001 · Cited by 2,083
Self-citationWang, Z. L. (2014) · Faraday Discuss. · doi:10.1039/c4fd00159a · Cited by 1,749
Self-citationPiezoelectric and ferroelectric materials and structures for energy harvesting applications
Bowen, C. R., Kim, H. A., Weaver, P. M., & Dunn, S. (2014) · Energy Environ. Sci. · doi:10.1039/c3ee42454e · Cited by 1,223
Pu, X., Liu, M., Chen, X., Sun, J., Du, C., Zhang, Y., Zhai, J., Hu, W., & Wang, Z. L. (2017) · Science Advances · doi:10.1126/sciadv.1700015 · Cited by 1,218
Self-citationNanotechnology‐Enabled Energy Harvesting for Self‐Powered Micro‐/Nanosystems
Wang, Z. L., & Wu, W. (2012) · Angewandte Chemie International Edition · doi:10.1002/anie.201201656 · Cited by 1,063
Self-citationGlobal climatic drivers of leaf size
Wright, I. J., Dong, N., Maire, V., Prentice, I. C., Westoby, M., Díaz, S., Gallagher, R. V., Jacobs, B. F., Kooyman, R., Law, E. A., et al. (2017) · Science · doi:10.1126/science.aal4760 · Cited by 1,023
Cited by
Tao, K., Yi, H., Yang, Y., Chang, H., Wu, J., Tang, L., Yang, Z., Wang, N., Hu, L., Fu, Y., et al. (2020) · Nano Energy · doi:10.1016/j.nanoen.2019.104197 · Cited by 328
Self-citationLeaves based triboelectric nanogenerator (TENG) and TENG tree for wind energy harvesting
Feng, Y., Zhang, L., Zheng, Y., Wang, D., Zhou, F., & Liu, W. (2019) · Nano Energy · doi:10.1016/j.nanoen.2018.10.075 · Cited by 322
Shi, Q., & Lee, C. (2019) · Advanced Science · doi:10.1002/advs.201900617 · Cited by 174
Pang, Y., He, T., Liu, S., Zhu, X., & Lee, C. (2024) · Advanced Science · doi:10.1002/advs.202306574 · Cited by 60
Metadata
- Authors
- Jie, Y., Jia, X., Zou, J., Chen, Y., Wang, N., Wang, Z. L., & Cao, X.
- Venue
- Advanced Energy Materials
- Publisher
- Wiley
- Published
- 2018-01-26
- Volume
- 8
- Issue
- 12
- ISSN
- 1614-6832 (ISSN-L)
- 1614-6840
- OpenAlex
- W2794281080
- Cited by
- 308
- References
- 40
- FWCI
- 13.21
- 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: Natural Leaf Made Triboelectric Nanogenerator for Harvesting Environmental Mechanical Energy. https://app.cochat.ai/papers/10.1002/aenm.201703133
- The paper
- Jie, Y., Jia, X., Zou, J., Chen, Y., Wang, N., Wang, Z. L., & Cao, X. (2018). Natural Leaf Made Triboelectric Nanogenerator for Harvesting Environmental Mechanical Energy. Advanced Energy Materials. https://doi.org/10.1002/aenm.201703133
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.