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Quantum dots derived from two-dimensional materials and their applications for catalysis and energy
Abstract
Equipped with a wide range of extraordinary and tailorable properties, quantum dots derived from two-dimensional materials promise a spectrum of novel applications including catalysis and energy.
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Self-citationGraphene quantum dots–three-dimensional graphene composites for high-performance supercapacitors
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Oxygen Reduction Catalyzed by Platinum Nanoparticles Supported on Graphene Quantum Dots
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Highly-efficient peroxidase-like catalytic activity of graphene dots for biosensing
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Oxygen Reduction Electrocatalysis Using N-Doped Graphene Quantum-Dots
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Slow Hot-Carrier Relaxation in Colloidal Graphene Quantum Dots
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A simple and efficient strategy for the synthesis of a chemically tailored g-C 3 N 4 material
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Graphene quantum dots as the hole transport layer material for high-performance organic solar cells
Li, M., Ni, W., Kan, B., Wan, X., Zhang, L., Zhang, Q., Long, G., Zuo, Y., & Chen, Y. (2013) · Physical Chemistry Chemical Physics · doi:10.1039/c3cp53283f · Cited by 143
N-doped graphene quantum sheets on silicon nanowire photocathodes for hydrogen production
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Reactivity of layer type transition metal chalcogenides towards oxidation
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Water‐Soluble Monolayer Molybdenum Disulfide Quantum Dots with Upconversion Fluorescence
Huang, H., Du, C., Shi, H., Feng, X., Li, J., Tan, Y., & Song, W. (2014) · Particle & Particle Systems Characterization · doi:10.1002/ppsc.201400101 · Cited by 140
Few-layer black phosphorus nanoparticles
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Crystalline Si/Graphene Quantum Dots Heterojunction Solar Cells
Gao, P., Ding, K., Wang, Y., Ruan, K., Diao, S., Zhang, Q., Sun, B., & Jie, J. (2014) · The Journal of Physical Chemistry C · doi:10.1021/jp412591k · Cited by 136
Facile preparation and multifunctional applications of boron nitride quantum dots
Lei, Z., Xu, S., Wan, J., & Wu, P. (2015) · Nanoscale · doi:10.1039/c5nr05960g · Cited by 135
Pan, D.-Y., Xi, C., Li, Z., Wang, L., Chen, Z.-W., Lu, B., & Wu, M.-H. (2013) · Journal of Materials Chemistry A · doi:10.1039/c3ta00059a · Cited by 126
Enhanced Lithium Storage Performance of CuO Nanowires by Coating of Graphene Quantum Dots
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Synthesis and photoluminescence of fluorinated graphene quantum dots
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One‐Step Synthesis of N‐doped Graphene Quantum Sheets from Monolayer Graphene by Nitrogen Plasma
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Graphene quantum dots optimization of dye-sensitized solar cells
Fang, X., Li, M., Guo, K., Li, J., Pan, M., Bai, L., Luoshan, M., & Zhao, X. (2014) · Electrochimica Acta · doi:10.1016/j.electacta.2014.06.075 · Cited by 107
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Self-citationGraphene quantum dots–carbon nanotube hybrid arrays for supercapacitors
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Monolayer MoS 2 quantum dots as catalysts for efficient hydrogen evolution
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Electrochemical Resolution of Multiple Redox Events for Graphene Quantum Dots
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Large Scale Synthesis and Light Emitting Fibers of Tailor-Made Graphene Quantum Dots
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Two-step synthesis of luminescent MoS 2 –ZnS hybrid quantum dots
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Confining MoS 2 nanodots in 3D porous nitrogen-doped graphene with amendable ORR performance
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Electrocatalytic activity of various types of h-BN for the oxygen reduction reaction
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Quasi Core/Shell Lead Sulfide/Graphene Quantum Dots for Bulk Heterojunction Solar Cells
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Self-Assembled BN and BCN Quantum Dots Obtained from High Intensity Ultrasound Exfoliated Nanosheets
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Graphene quantum dots for ultrasensitive detection of acetylcholinesterase and its inhibitors
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Metadata
- Authors
- Wang, X., Sun, G., Li, N., & Chen, P.
- Venue
- Chemical Society Reviews
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2016
- Volume
- 45
- Issue
- 8
- Pages
- 2239-2262
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W2280582456
- Cited by
- 498
- References
- 173
- FWCI
- 1.52
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.