Evidence map›Paper›PMID 39605183›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Isolation Transformer Based Very Low Frequency Antenna with Enhanced Radiation Characteristics.

Jingqi Wu, Zilun Zeng, Liwei Wang, Jianchun Xu, Ke Bi

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

5 authors.

Jingqi WuState Key Laboratory of Information Photonics and Optical Communications, School of Science, Beijing University of Posts and Telecommunications, Beijing, 100876, P. R. China.
Zilun ZengState Key Laboratory of Information Photonics and Optical Communications, School of Science, Beijing University of Posts and Telecommunications, Beijing, 100876, P. R. China.
Liwei WangState Key Laboratory of Information Photonics and Optical Communications, School of Science, Beijing University of Posts and Telecommunications, Beijing, 100876, P. R. China.
Jianchun XuState Key Laboratory of Information Photonics and Optical Communications, School of Science, Beijing University of Posts and Telecommunications, Beijing, 100876, P. R. China.
Ke BiState Key Laboratory of Information Photonics and Optical Communications, School of Science, Beijing University of Posts and Telecommunications, Beijing, 100876, P. R. China.ORCID https://orcid.org/0000-0002-3357-5754

Funding

Beijing Natural Science Foundation JQ22010Fundamental Research Funds for the Central Universities 2023ZCJH03Fund of State Key Laboratory of IPOC (BUPT) IPOC2024ZT13National Natural Science Foundation of China 52102061National Natural Science Foundation of China 52372101National Natural Science Foundation of China U2241243Teaching Reform Projects at BUPT 2024Y010
6 · The paper itself

Abstract

Very low frequency electromagnetic waves adeptly propagate in harsh cross-medium environments, surmounting the rapid attenuation that impedes high-frequency counterparts. Traditional low frequency antennas, however, encounter challenges concerning size, efficiency, and power. Here, an isolation transformer based very low frequency loop antenna with compact size and well impedance matching is proposed to enhance radiation characteristics for long-distance communication. By utilizing the high magnetic permeability amorphous/nanocrystalline alloy Fe

Indexed as

impedance matchinglow frequency antennasminiaturizationradiation enhancement

Identifiers

PMID39605183
PMCPMC11744638

What OpenQuestion holds

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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.