The DOI matches its Crossref record; 238 of the 238 references it cites were found in a registry or an index.
Semiconductor Quantum Dots: An Emerging Candidate for CO2 Photoreduction
Abstract
As one of the most critical approaches to resolve the energy crisis and environmental concerns, carbon dioxide (CO 2) photoreduction into value‐added chemicals and solar fuels (for example, CO, HCOOH, CH 3 OH, CH 4) has attracted more and more attention. In nature, photosynthetic organisms effectively convert CO 2 and H 2 O to carbohydrates and oxygen (O 2) using sunlight, which has inspired the development of low‐cost, stable, and effective artificial photocatalysts for CO 2 photoreduction. Due to their low cost, facile synthesis, excellent light harvesting, multiple exciton generation, feasible charge‐carrier regulation, and abundant surface sites, semiconductor quantum dots (QDs) have recently been identified as one of the most promising materials for establishing highly efficient artificial photosystems. Recent advances in CO 2 photoreduction using semiconductor QDs are highlighted. First, the unique photophysical and structural properties of semiconductor QDs, which enable their versatile applications in solar energy conversion, are analyzed. Recent applications of QDs in photocatalytic CO 2 reduction are then introduced in three categories: binary II–VI semiconductor QDs (e.g., CdSe, CdS, and ZnSe), ternary I–III–VI semiconductor QDs (e.g., CuInS 2 and CuAlS 2), and perovskite‐type QDs (e.g., CsPbBr 3, CH 3 NH 3 PbBr 3, and Cs 2 AgBiBr 6). Finally, the challenges and prospects in solar CO 2 reduction with QDs in the future are discussed.
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
Organometal Halide Perovskites as Visible-Light Sensitizers for Photovoltaic Cells
Kojima, A., Teshima, K., Shirai, Y., & Miyasaka, T. (2009) · Journal of the American Chemical Society · doi:10.1021/ja809598r · Cited by 23,090
Titanium Dioxide Nanomaterials: Synthesis, Properties, Modifications, and Applications
Chen, X., & Mao, S. S. (2007) · Chemical Reviews · doi:10.1021/cr0500535 · Cited by 10,688
Stranks, S. D., Eperon, G. E., Grancini, G., Menelaou, C., Alcocer, M. J. P., Leijtens, T., Herz, L. M., Petrozza, A., & Snaith, H. J. (2013) · Science · doi:10.1126/science.1243982 · Cited by 10,413
Murray, C. B., Norris, D. J., & Bawendi, M. G. (1993) · Journal of the American Chemical Society · doi:10.1021/ja00072a025 · Cited by 9,282
Protesescu, L., Yakunin, S., Bodnarchuk, M. I., Krieg, F., Caputo, R., Hendon, C. H., Yang, R. X., Walsh, A., & Kovalenko, M. V. (2015) · Nano Letters · doi:10.1021/nl5048779 · Cited by 9,209
Human domination of Earth’s ecosystems
Vitousek, P. M., Mooney, H. A., Lubchenco, J., & Melillo, J. M. (1997) · Science · doi:10.1126/science.277.5325.494 · Cited by 9,086
Powering the planet: Chemical challenges in solar energy utilization
Lewis, N. S., & Nocera, D. G. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0603395103 · Cited by 8,310
Chemistry and Properties of Nanocrystals of Different Shapes
Burda, C., Chen, X., Narayanan, R., & El-Sayed, M. A. (2005) · Chemical Reviews · doi:10.1021/cr030063a · Cited by 7,230
Long-Range Balanced Electron- and Hole-Transport Lengths in Organic-Inorganic CH 3 NH 3 PbI 3
Xing, G., Mathews, N., Sun, S., Lim, S. S., Lam, Y. M., Grätzel, M., Mhaisalkar, S., & Sum, T. C. (2013) · Science · doi:10.1126/science.1243167 · Cited by 6,909
TiO2 photocatalysis and related surface phenomena
FUJISHIMA, A., ZHANG, X., & TRYK, D. (2008) · Surface Science Reports · doi:10.1016/j.surfrep.2008.10.001 · Cited by 6,737
Cited by
Mazari, S. A., Ali, E., Abro, R., Khan, F. S. A., Ahmed, I., Ahmed, M., Nizamuddin, S., Siddiqui, T. H., Hossain, N., Mubarak, N. M., et al. (2021) · Journal of Environmental Chemical Engineering · doi:10.1016/j.jece.2021.105028 · Cited by 316
Metadata
- Authors
- Wu, H., Li, X., Tung, C., & Wu, L.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2019-07-04
- Volume
- 31
- Issue
- 36
- Pages
- e1900709-e1900709
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2954897475
- Cited by
- 486
- References
- 238
- FWCI
- 10.93
- 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: Semiconductor Quantum Dots: An Emerging Candidate for CO2 Photoreduction. https://app.cochat.ai/papers/10.1002/adma.201900709
- The paper
- Wu, H., Li, X., Tung, C., & Wu, L. (2019). Semiconductor Quantum Dots: An Emerging Candidate for CO2 Photoreduction. Advanced Materials. https://doi.org/10.1002/adma.201900709
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.