Evidence map›Paper›PMID 36772369›Full record

ReviewSensors (Basel, Switzerland)2023

Recent Progress in Self-Powered Wireless Sensors and Systems Based on TENG.

Yonghai Li, Jinran Yu, Yichen Wei, Yifei Wang, Zhenyu Feng, Liuqi Cheng, Ziwei Huo, Yanqiang Lei, Qijun Sun

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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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

9 authors.

Yonghai LiCenter on Nanoenergy Research, School of Chemistry and Chemical Engineering, Guangxi University, Nanning 530004, China.
Jinran YuBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China.ORCID 0000-0003-0592-0263
Yichen WeiCenter on Nanoenergy Research, School of Chemistry and Chemical Engineering, Guangxi University, Nanning 530004, China.
Yifei WangBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China.
Zhenyu FengCenter on Nanoenergy Research, School of Chemistry and Chemical Engineering, Guangxi University, Nanning 530004, China.
Liuqi ChengCenter on Nanoenergy Research, School of Chemistry and Chemical Engineering, Guangxi University, Nanning 530004, China.
Ziwei HuoBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China.
Yanqiang LeiBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing 101400, China.
Qijun SunCenter on Nanoenergy Research, School of Chemistry and Chemical Engineering, Guangxi University, Nanning 530004, China.ORCID 0000-0003-2130-7389

Funding

Beijing Nova Program Z191100001119047, Z211100002121148Fundamental Research Funds for the Central Universities E0EG6801X2National Key Research and Development Program of China 2021YFB3200304National Natural Science Foundation of China 52073031
6 · The paper itself

Abstract

With the development of 5G, artificial intelligence, and the Internet of Things, diversified sensors (such as the signal acquisition module) have become more and more important in people's daily life. According to the extensive use of various distributed wireless sensors, powering them has become a big problem. Among all the powering methods, the self-powered sensor system based on triboelectric nanogenerators (TENGs) has shown its superiority. This review focuses on four major application areas of wireless sensors based on TENG, including environmental monitoring, human monitoring, industrial production, and daily life. The perspectives and outlook of the future development of self-powered wireless sensors are discussed.

Indexed as

energy harvestingself-powered sensorstriboelectric nanogeneratorwireless sensors

Identifiers

PMID36772369
PMCPMC9921943

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.