The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Carbon Quantum Dots and Applications in Photocatalytic Energy Conversion
Abstract
Quantum dots (QDs) generally refer to nanoscale particles of conventional semiconductors that are subject to the quantum-confinement effect, though other nanomaterials of similar optical and redox properties are also named as QDs even in the absence of strictly defined quantum confinement. Among such nanomaterials that have attracted tremendous recent interest are carbon dots, which are small carbon nanoparticles with some form of surface passivation, and graphene quantum dots in various configurations. In this article, we highlight these carbon-based QDs by focusing on their syntheses, on their photoexcited state properties and redox processes, and on their applications as photocatalysts in visible-light carbon dioxide reduction and in water-splitting, as well as on their mechanistic similarities and differences.
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
Semiconductor-based Photocatalytic Hydrogen Generation
Chen, X., Shen, S., Guo, L., & Mao, S. S. (2010) · Chemical Reviews · doi:10.1021/cr1001645 · Cited by 7,876
Cited by
Shining carbon dots: Synthesis and biomedical and optoelectronic applications
Yuan, F., Li, S., Fan, Z., Meng, X., Fan, L., & Yang, S. (2016) · Nano Today · doi:10.1016/j.nantod.2016.08.006 · Cited by 746
Ong, W.-J., Putri, L. K., Tan, Y.-C., Tan, L.-L., Li, N., Ng, Y. H., Wen, X., & Chai, S.-P. (2017) · Nano Research · doi:10.1007/s12274-016-1391-4 · Cited by 470
Yang, M., Gao, M., Hong, M., & Ho, G. W. (2018) · Advanced Materials · doi:10.1002/adma.201802894 · Cited by 389
Recent Advances in Synthesis, Optical Properties, and Biomedical Applications of Carbon Dots
Anwar, S., Ding, H., Xu, M., Hu, X., Li, Z., Wang, J., Liu, L., Jiang, L., Wang, D., Dong, C., et al. (2019) · ACS Applied Bio Materials · doi:10.1021/acsabm.9b00112 · Cited by 367
Future Perspectives and Review on Organic Carbon Dots in Electronic Applications
Semeniuk, M., Yi, Z., Poursorkhabi, V., Tjong, J., Jaffer, S., Lu, Z.-H., & Sain, M. (2019) · ACS Nano · doi:10.1021/acsnano.9b00688 · Cited by 367
Metadata
- Authors
- Fernando, K. A. S., Sahu, S., Liu, Y., Lewis, W. K., Guliants, E. A., Jafariyan, A., Wang, P., Bunker, C. E., & Sun, Y.-P.
- Venue
- ACS Applied Materials & Interfaces
- Publisher
- American Chemical Society (ACS)
- Published
- 2015-04-15
- Volume
- 7
- Issue
- 16
- Pages
- 8363-8376
- ISSN
- 1944-8244 (ISSN-L)
- 1944-8252
- OpenAlex
- W2327814051
- Cited by
- 738
- References
- 1
- FWCI
- 30.24
- 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
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.
