The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
Advances in highly doped upconversion nanoparticles
Open accessAbstract
Lanthanide-doped upconversion nanoparticles (UCNPs) are capable of converting near-infra-red excitation into visible and ultraviolet emission. Their unique optical properties have advanced a broad range of applications, such as fluorescent microscopy, deep-tissue bioimaging, nanomedicine, optogenetics, security labelling and volumetric display. However, the constraint of concentration quenching on upconversion luminescence has hampered the nanoscience community to develop bright UCNPs with a large number of dopants. This review surveys recent advances in developing highly doped UCNPs, highlights the strategies that bypass the concentration quenching effect, and discusses new optical properties as well as emerging applications enabled by these nanoparticles.
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Cites
Upconversion and Anti-Stokes Processes with f and d Ions in Solids
Auzel, F. (2004) · Chemical Reviews · doi:10.1021/cr020357g · Cited by 5,098
Simultaneous phase and size control of upconversion nanocrystals through lanthanide doping
Wang, F., Han, Y., Lim, C. S., Lu, Y., Wang, J., Xu, J., Chen, H., Zhang, C., Hong, M., & Liu, X. (2010) · Nature · doi:10.1038/nature08777 · Cited by 3,151
Self-citationHaase, M., & Schäfer, H. (2011) · Angewandte Chemie International Edition · doi:10.1002/anie.201005159 · Cited by 2,503
Theory of Concentration Quenching in Inorganic Phosphors
Dexter, D. L., & Schulman, J. H. (1954) · The Journal of Chemical Physics · doi:10.1063/1.1740265 · Cited by 2,253
Jares-Erijman, E. A., & Jovin, T. M. (2003) · Nature Biotechnology · doi:10.1038/nbt896 · Cited by 1,824
Tuning upconversion through energy migration in core–shell nanoparticles
Wang, F., Deng, R., Wang, J., Wang, Q., Han, Y., Zhu, H., Chen, X., & Liu, X. (2011) · Nature Materials · doi:10.1038/nmat3149 · Cited by 1,795
Self-citationThe surface science of nanocrystals
Boles, M. A., Ling, D., Hyeon, T., & Talapin, D. V. (2016) · Nature Materials · doi:10.1038/nmat4526 · Cited by 1,742
Controlling upconversion nanocrystals for emerging applications
Zhou, B., Shi, B., Jin, D., & Liu, X. (2015) · Nature Nanotechnology · doi:10.1038/nnano.2015.251 · Cited by 1,503
Self-citationWang, F., & Liu, X. (2008) · Journal of the American Chemical Society · doi:10.1021/ja800868a · Cited by 1,458
Self-citationProspects of Nanoscience with Nanocrystals
Kovalenko, M. V., Manna, L., Cabot, A., Hens, Z., Talapin, D. V., Kagan, C. R., Klimov, V. I., Rogach, A. L., Reiss, P., Milliron, D. J., et al. (2015) · ACS Nano · doi:10.1021/nn506223h · Cited by 1,226
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Rare-Earth Doping in Nanostructured Inorganic Materials
Zheng, B., Fan, J., Chen, B., Qin, X., Wang, J., Wang, F., Deng, R., & Liu, X. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00644 · Cited by 1,204
Self-citationLiu, S., Yan, L., Huang, J., Zhang, Q., & Zhou, B. (2022) · Chemical Society Reviews · doi:10.1039/d1cs00753j · Cited by 298
Nanoparticle Interactions with the Tumor Microenvironment
Huai, Y., Hossen, M. N., Wilhelm, S., Bhattacharya, R., & Mukherjee, P. (2019) · Bioconjugate Chemistry · doi:10.1021/acs.bioconjchem.9b00448 · Cited by 113
Wang, C., Lin, H., Ge, X., Mu, J., Su, L., Zhang, X., Niu, M., Yang, H., & Song, J. (2021) · Advanced Functional Materials · doi:10.1002/adfm.202009942 · Cited by 89
Development of Polyene-Bridged Hybrid Rhodamine Fluorophores for High-Resolution NIR-II Imaging
Shi, Y., Yuan, W., Liu, Q., Kong, M., Li, Z., Feng, W., Hu, K., & Li, F. (2019) · ACS Materials Letters · doi:10.1021/acsmaterialslett.9b00265 · Cited by 80
Metadata
- Authors
- Wen, S., Zhou, J., Zheng, K., Bednarkiewicz, A., Liu, X., & Jin, D.
- Venue
- Nature Communications
- Published
- 2018-06-20
- Volume
- 9
- Issue
- 1
- Pages
- 2415-2415
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2808632617
- Cited by
- 1,116
- References
- 69
- FWCI
- 42.29
- Type
- journal article
- Language
- en
- Open access
- gold
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