The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Submersible Printed Split-Ring Resonator-Based Sensor for Thin-Film Detection and Permittivity Characterization
Open accessAbstract
A split-ring resonator (SRR)-based sensor for the detection of solid thickness and relative permittivity characterization of solid and liquid materials is proposed. The structure is composed of two SRRs hosted in a microstrip transmission line. The sensing principle is based on the detection of the notch introduced by the resonators in the transmission coefficient. Hence, a frequency shift of the notch is related to a change in the effective permittivity of the structure when the sensor is covered with any solid or liquid material. A complete characterization of the sensor, for the three proposed applications, is performed through simulations. Finally, all simulated results are corroborated with measurements. The proposed sensor is implemented in single-layer printed technology, resulting in a low-cost and low-complexity solution. It presents real-time response and high sensitivity. Moreover, it is fully submersible and reusable.
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
Thin-film sensing with planar terahertz metamaterials: sensitivity and limitations
O'Hara, J. F., Singh, R., Brener, I., Smirnova, E., Han, J., Taylor, A. J., & Zhang, W. (2008) · Optics Express · doi:10.1364/oe.16.001786 · Cited by 521
Cited by
Strongly Enhanced Sensitivity in Planar Microwave Sensors Based on Metamaterial Coupling
Abdolrazzaghi, M., Daneshmand, M., & Iyer, A. K. (2018) · IEEE Transactions on Microwave Theory and Techniques · doi:10.1109/tmtt.2018.2791942 · Cited by 353
Metadata
- Authors
- Galindo-Romera, G., Javier Herraiz-Martinez, F., Gil, M., Martinez-Martinez, J. J., & Segovia-Vargas, D.
- Venue
- IEEE Sensors Journal
- Published
- 2016-05
- Volume
- 16
- Issue
- 10
- Pages
- 3587-3596
- ISSN
- 1530-437X (ISSN-L)
- 1558-1748
- 2379-9153
- OpenAlex
- W2323935702
- Cited by
- 214
- References
- 1
- FWCI
- 7.62
- 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: Submersible Printed Split-Ring Resonator-Based Sensor for Thin-Film Detection and Permittivity Characterization. https://app.cochat.ai/papers/10.1109/jsen.2016.2538086
- The paper
- Galindo-Romera, G., Javier Herraiz-Martinez, F., Gil, M., Martinez-Martinez, J. J., & Segovia-Vargas, D. (2016). Submersible Printed Split-Ring Resonator-Based Sensor for Thin-Film Detection and Permittivity Characterization. IEEE Sensors Journal. https://doi.org/10.1109/jsen.2016.2538086
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.