The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Fiber Bragg Grating Sensors for Harsh Environments
Open accessAbstract
Because of their small size, passive nature, immunity to electromagnetic interference, and capability to directly measure physical parameters such as temperature and strain, fiber Bragg grating sensors have developed beyond a laboratory curiosity and are becoming a mainstream sensing technology. Recently, high temperature stable gratings based on regeneration techniques and femtosecond infrared laser processing have shown promise for use in extreme environments such as high temperature, pressure or ionizing radiation. Such gratings are ideally suited for energy production applications where there is a requirement for advanced energy system instrumentation and controls that are operable in harsh environments. This paper will present a review of some of the more recent developments.
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
Writing waveguides in glass with a femtosecond laser
Davis, K. M., Miura, K., Sugimoto, N., & Hirao, K. (1996) · Optics Letters · doi:10.1364/ol.21.001729 · Cited by 2,622
Cited by
Fiber Bragg grating sensors for monitoring of physical parameters: a comprehensive review
Sahota, J. K., Gupta, N., & Dhawan, D. (2020) · Optical Engineering · doi:10.1117/1.oe.59.6.060901 · Cited by 522
Hassani, S., & Dackermann, U. (2023) · Sensors · doi:10.3390/s23042204 · Cited by 492
Ultrafast Laser Direct Writing Nanogratings and their Engineering in Transparent Materials
Yao, H., Pugliese, D., Lancry, M., & Dai, Y. (2024) · Laser & Photonics Reviews · doi:10.1002/lpor.202300891 · Cited by 115
Structural Health Monitoring Damage Detection Systems for Aerospace
(2021) · Springer Aerospace Technology · doi:10.1007/978-3-030-72192-3 · Cited by 92
Dual-resonator Lamb wave strain sensor with temperature compensation and enhanced sensitivity
Dou, S., Cao, J., Zhou, H., Chen, C., Wang, Y., Yang, J., Wang, D., Shang, Z., & Mu, X. (2018) · Applied Physics Letters · doi:10.1063/1.5046120 · Cited by 23
Metadata
- Authors
- Mihailov, S. J.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2012-02-10
- Volume
- 12
- Issue
- 2
- Pages
- 1898-1918
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W2083891787
- Cited by
- 830
- References
- 1
- FWCI
- 23.20
- Type
- journal article
- Language
- en
- Open access
- gold
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: Fiber Bragg Grating Sensors for Harsh Environments. https://app.cochat.ai/papers/10.3390/s120201898
- The paper
- Mihailov, S. J. (2012). Fiber Bragg Grating Sensors for Harsh Environments. Sensors. https://doi.org/10.3390/s120201898
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.