Evidence map›Paper›PMID 42325562›Full record

ArticleiScience2026

Wind energy-driven rabbit hair TENG for railway detection.

Linchao Chen, Lin Zhang, Shipeng Wang, Baoping Wang, Yubin Qi, Da Zhao

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Linchao ChenSchool of Construction Machinery, Shandong Jiaotong University, Jinan 250357, China.
Lin ZhangSchool of Construction Machinery, Shandong Jiaotong University, Jinan 250357, China.
Shipeng WangSchool of Construction Machinery, Shandong Jiaotong University, Jinan 250357, China.
Baoping WangSchool of Construction Machinery, Shandong Jiaotong University, Jinan 250357, China.
Yubin QiSchool of Construction Machinery, Shandong Jiaotong University, Jinan 250357, China.
Da ZhaoSchool of Construction Machinery, Shandong Jiaotong University, Jinan 250357, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To improve the output performance and durability of triboelectric nanogenerators (TENGs), this study presents a high-performance flexible-contact TENG (FC-TENG). The FC-TENG consists of an energy-harvesting unit and a power-generation unit. Furthermore, the performance of the power-generation unit is analyzed using the nodal analysis method and validated through simulation. Notably, through experimental validation, the structural parameters of the FC-TENG are optimized, and the output performance under parallel connection is systematically investigated. The results indicate that, at a rotational speed of 300 rpm, the open-circuit voltage, short-circuit current, transferred charge, and output power reach 2,284 V, 45.16 μA, 798.38 nC, and 10.68 mW, respectively. After 3.45 million operating cycles, the transferred charge of the power-generation unit decreases from 221.58 to 185.61 nC, corresponding to a degradation of only 7%. Overall, this study achieves a balance between output performance and durability, offering an efficient solution for railway line monitoring applications.

Indexed as

energy engineeringenergy sustainabilitymaterials science

Identifiers

PMID42325562
PMCPMC13276440

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.