The DOI matches its Crossref record; 121 of the 121 references it cites were found in a registry or an index.
Self‐Powered Nanoscale Photodetectors
Open accessAbstract
Novel self‐powered nanoscale photodetectors that can work without an external power source, which have great application potential in next‐generation nanodevices that operate wirelessly and independently, are being widely studied. This review aims to give a comprehensive summary of the state‐of‐the‐art research results on self‐powered nanoscale photodetectors. An introduction of recent progress on Schottky junction photodetectors is provided. Two types of Schottky junctions are discussed in detail: metal–semiconductor and semiconductor–graphene junctions. Next, recent developments of p–n junction photodetectors are highlighted, including homojunction and heterojunction photodetectors. Then, piezo‐phototronic effect enhanced photodetection performances of Schottky junctions and p–n junctions are discussed. Then, significant results on the photoelectrochemical‐cell‐based photodetector and integrated self‐powered nanosystem are presented, followed by a systematic comparison of different types of photodetectors. Finally, a summary of the previous results is given, and the major challenges that need to be addressed in the future are outlined. The hope is that this review can provide valuable insights into the current status of self‐powered photodetectors and spur new structure and device designs to further enhance photodetection performance.
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
1 retracted
Zhang, Z., Liao, Q., Yu, Y., Wang, X., & Zhang, Y. (2014) · Nano Energy · doi:10.1016/j.nanoen.2014.07.022 · Cited by 117
RetractedGeim, A. K., & Novoselov, K. S. (2007) · Nature Materials · doi:10.1038/nmat1849 · Cited by 39,979
Measurement of the Elastic Properties and Intrinsic Strength of Monolayer Graphene
Lee, C., Wei, X., Kysar, J. W., & Hone, J. (2008) · Science · doi:10.1126/science.1157996 · Cited by 20,847
Physics of Semiconductor Devices
Sze, S. M., & Ng, K. K. (2006) · doi:10.1002/0470068329 · Cited by 14,627
Piezoelectric Nanogenerators Based on Zinc Oxide Nanowire Arrays
Wang, Z. L., & Song, J. (2006) · Science · doi:10.1126/science.1124005 · Cited by 7,922
High-performance lithium battery anodes using silicon nanowires
Chan, C. K., Peng, H., Liu, G., McIlwrath, K., Zhang, X. F., Huggins, R. A., & Cui, Y. (2008) · Nature Nanotechnology · doi:10.1038/nnano.2007.411 · Cited by 6,683
Photodetectors based on graphene, other two-dimensional materials and hybrid systems
Koppens, F. H. L., Mueller, T., Avouris, P., Ferrari, A. C., Vitiello, M. S., & Polini, M. (2014) · Nature Nanotechnology · doi:10.1038/nnano.2014.215 · Cited by 3,828
Ultrafast graphene photodetector
Xia, F., Mueller, T., Lin, Y.-M., Valdes-Garcia, A., & Avouris, P. (2009) · Nature Nanotechnology · doi:10.1038/nnano.2009.292 · Cited by 3,089
Wang, Z. L. (2013) · ACS Nano · doi:10.1021/nn404614z · Cited by 3,058
Coaxial silicon nanowires as solar cells and nanoelectronic power sources
Tian, B., Zheng, X., Kempa, T. J., Fang, Y., Yu, N., Yu, G., Huang, J., & Lieber, C. M. (2007) · Nature · doi:10.1038/nature06181 · Cited by 2,929
Cited by
Photoelectric Detectors Based on Inorganic p‐Type Semiconductor Materials
Teng, F., Hu, K., Ouyang, W., & Fang, X. (2018) · Advanced Materials · doi:10.1002/adma.201706262 · Cited by 507
Kaur, D., & Kumar, M. (2021) · Advanced Optical Materials · doi:10.1002/adom.202002160 · Cited by 490
Self‐Powered Photodetectors Based on 2D Materials
Qiao, H., Huang, Z., Ren, X., Liu, S., Zhang, Y., Qi, X., & Zhang, H. (2020) · Advanced Optical Materials · doi:10.1002/adom.201900765 · Cited by 435
Sathyanarayana, S., Krishnan K, N., & Das, B. C. (2024) · Physical Review Applied · doi:10.1103/physrevapplied.21.044015 · Cited by 15
Metadata
- Authors
- Tian, W., Wang, Y., Chen, L., & Li, L.
- Venue
- Small
- Publisher
- Wiley
- Published
- 2017-10-09
- Volume
- 13
- Issue
- 45
- ISSN
- 1613-6810 (ISSN-L)
- 1613-6829
- OpenAlex
- W2761510455
- Cited by
- 377
- References
- 121
- FWCI
- 8.26
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Self‐Powered Nanoscale Photodetectors. https://app.cochat.ai/papers/10.1002/smll.201701848
- The paper
- Tian, W., Wang, Y., Chen, L., & Li, L. (2017). Self‐Powered Nanoscale Photodetectors. Small. https://doi.org/10.1002/smll.201701848
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.
