The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Self‐Powered ZnO‐Nanorod/CuSCN UV Photodetector Exhibiting Rapid Response
Abstract
The pre-existing Fermi level alignment between ZnO and CuSCN semiconductors gives rise to the two key elements needed for a self-powered, binary-response UV- sensor: photovoltaic behavior and low turn-on bias. Nanosecond response times, self-powered performance, and long-term stability, coupled with scalable, inexpensive fabrication on the nanoscale, offer currently unmatched progression towards self-sufficient nanoscale 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
One‐Dimensional Nanostructures: Synthesis, Characterization, and Applications
Xia, Y., Yang, P., Sun, Y., Wu, Y., Mayers, B., Gates, B., Yin, Y., Kim, F., & Yan, H. (2003) · Advanced Materials · doi:10.1002/adma.200390087 · Cited by 8,559
Cited by
Safaei, M., Sodano, H. A., & Anton, S. R. (2019) · Smart Materials and Structures · doi:10.1088/1361-665x/ab36e4 · Cited by 874
Ahmadi, M., Wu, T., & Hu, B. (2017) · Advanced Materials · doi:10.1002/adma.201605242 · Cited by 820
Piezoelectric nanogenerators – a review of nanostructured piezoelectric energy harvesters
Briscoe, J., & Dunn, S. (2015) · Nano Energy · doi:10.1016/j.nanoen.2014.11.059 · Cited by 613
Self-citationCui, Y., Briscoe, J., & Dunn, S. (2013) · Chemistry of Materials · doi:10.1021/cm402092f · Cited by 549
Self-citationWide Band Gap Chalcogenide Semiconductors
Woods-Robinson, R., Han, Y., Zhang, H., Ablekim, T., Khan, I., Persson, K. A., & Zakutayev, A. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00600 · Cited by 513
Metadata
- Authors
- Hatch, S. M., Briscoe, J., & Dunn, S.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2012-12-07
- Volume
- 25
- Issue
- 6
- Pages
- 867-871
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2133983420
- Cited by
- 427
- References
- 1
- FWCI
- 11.73
- 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: A Self‐Powered ZnO‐Nanorod/CuSCN UV Photodetector Exhibiting Rapid Response. https://app.cochat.ai/papers/10.1002/adma.201204488
- The paper
- Hatch, S. M., Briscoe, J., & Dunn, S. (2013). A Self‐Powered ZnO‐Nanorod/CuSCN UV Photodetector Exhibiting Rapid Response. Advanced Materials. https://doi.org/10.1002/adma.201204488
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.
