Evidence map›Paper›PMID 31252626›Full record

ReviewSensors (Basel, Switzerland)2019

Recent Progress on Electromagnetic Field Measurement Based on Optical Sensors.

Jun Peng, Shuhai Jia, Jiaming Bian, Shuo Zhang, Jianben Liu, Xing Zhou

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Fiber Optic Sensors Based on the Faraday Effect.Sensors (Basel, Switzerland) · 2021
    Review
  7. Article
  8. Design and Analysis of Broadband LiNbOSensors (Basel, Switzerland) · 2021
    Article
  9. Article
  10. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Jun PengSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Shuhai JiaSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China. shjia@xjtu.edu.cn.
Jiaming BianSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Shuo ZhangSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Jianben LiuState Key Laboratory of Power Grid Environmental Protection, China Electric Power Research Institute, Wuhan 430074, China.
Xing ZhouSchool of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China.

Funding

Open Fund of State Key Laboratory of Power Grid Environmental Protection GYW51201801172XJTU University Funding PY3A048
6 · The paper itself

Abstract

Electromagnetic field sensors are widely used in various areas. In recent years, great progress has been made in the optical sensing technique for electromagnetic field measurement, and varieties of corresponding sensors have been proposed. Types of magnetic field optical sensors were presented, including probes-based Faraday effect, magnetostrictive materials, and magnetic fluid. The sensing system-based Faraday effect is complex, and the sensors are mostly used in intensive magnetic field measurement. Magnetic field optical sensors based on magnetic fluid have high sensitivity compared to that based on magnetostrictive materials. Three types of electric field optical sensors are presented, including the sensor probes based on electric-optic crystal, piezoelectric materials, and electrostatic attraction. The majority of sensors are developed using the sensing scheme of combining the LiNbO

Indexed as

electromagnetic field measurementelectro-optic effectelectrostatic attractionFaraday effectmagnetic fluidmagnetostrictionoptical sensorspiezoelectric effect

Identifiers

PMID31252626
PMCPMC6651561

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.