The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Enhancement of Magnetic Resonance Imaging with Metasurfaces
Open accessAbstract
It is revealed that the unique properties of ultrathin metasurface resonators can improve magnetic resonance imaging dramatically. A metasurface formed when an array of metallic wires is placed inside a scanner under the studied object and a substantial enhancement of the radio-frequency magnetic field is achieved by means of subwavelength manipulation with the metasurface, also allowing improved image resolution.
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
What we can do and what we cannot do with fMRI
Logothetis, N. K. (2008) · Nature · doi:10.1038/nature06976 · Cited by 3,612
Magnetic resonance fingerprinting
Ma, D., Gulani, V., Seiberlich, N., Liu, K., Sunshine, J. L., Duerk, J. L., & Griswold, M. A. (2013) · Nature · doi:10.1038/nature11971 · Cited by 1,577
Cited by
Smart metasurface with self-adaptively reprogrammable functions
Ma, Q., Bai, G. D., Jing, H. B., Yang, C., Li, L., & Cui, T. J. (2019) · Light: Science & Applications · doi:10.1038/s41377-019-0205-3 · Cited by 490
Metasurface Micro/Nano-Optical Sensors: Principles and Applications
Qin, J., Jiang, S., Wang, Z., Cheng, X., Li, B., Shi, Y., Tsai, D. P., Liu, A. Q., Huang, W., & Zhu, W. (2022) · ACS Nano · doi:10.1021/acsnano.2c03310 · Cited by 359
Flexible Metasurfaces for Multifunctional Interfaces
Zhou, Y., Wang, S., Yin, J., Wang, J., Manshaii, F., Xiao, X., Zhang, T., Bao, H., Jiang, S., & Chen, J. (2024) · ACS Nano · doi:10.1021/acsnano.3c09310 · Cited by 115
Metadata
- Authors
- Slobozhanyuk, A. P., Poddubny, A. N., Raaijmakers, A. J. E., van den Berg, C. A. T., Kozachenko, A. V., Dubrovina, I. A., Melchakova, I. V., Kivshar, Y. S., & Belov, P. A.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2016-01-11
- Volume
- 28
- Issue
- 9
- Pages
- 1832-1838
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2221097376
- Cited by
- 230
- References
- 2
- FWCI
- 7.70
- Type
- journal article
- Language
- en
- Open access
- green
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: Enhancement of Magnetic Resonance Imaging with Metasurfaces. https://app.cochat.ai/papers/10.1002/adma.201504270
- The paper
- Slobozhanyuk, A. P., Poddubny, A. N., Raaijmakers, A. J. E., van den Berg, C. A. T., Kozachenko, A. V., Dubrovina, I. A., Melchakova, I. V., Kivshar, Y. S., & Belov, P. A. (2016). Enhancement of Magnetic Resonance Imaging with Metasurfaces. Advanced Materials. https://doi.org/10.1002/adma.201504270
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.