Evidence map›Paper›PMID 36538115›Full record

ArticleNano-micro letters2022

Multidiscipline Applications of Triboelectric Nanogenerators for the Intelligent Era of Internet of Things.

Xiaole Cao, Yao Xiong, Jia Sun, Xiaoyin Xie, Qijun Sun, Zhong Lin Wang

Abstract read
In one paragraph

Article in Nano-micro letters, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Review
  2. Article
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  4. Article
  5. Article
  6. Self-Powered Sensors for Environmental Monitoring.Nanomaterials (Basel, Switzerland) · 2026
    Review
  7. Article
  8. Article
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  11. Article
  12. Article
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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

6 authors.

Xiaole CaoBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, People's Republic of China.
Yao XiongBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, People's Republic of China.
Jia SunSchool of Physics and Electronics, Central South University, Changsha, 410083, People's Republic of China.
Xiaoyin XieSchool of Chemistry and Chemical Engineering, Hubei Polytechnic University, Huangshi, 435003, People's Republic of China. xyxie@hbpu.edu.cn.
Qijun SunBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, People's Republic of China. sunqijun@binn.cas.cn.
Zhong Lin WangBeijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences, Beijing, 101400, People's Republic of China. zhong.wang@mse.gatech.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the era of 5G and the Internet of things (IoTs), various human-computer interaction systems based on the integration of triboelectric nanogenerators (TENGs) and IoTs technologies demonstrate the feasibility of sustainable and self-powered functional systems. The rapid development of intelligent applications of IoTs based on TENGs mainly relies on supplying the harvested mechanical energy from surroundings and implementing active sensing, which have greatly changed the way of human production and daily life. This review mainly introduced the TENG applications in multidiscipline scenarios of IoTs, including smart agriculture, smart industry, smart city, emergency monitoring, and machine learning-assisted artificial intelligence applications. The challenges and future research directions of TENG toward IoTs have also been proposed. The extensive developments and applications of TENG will push forward the IoTs into an energy autonomy fashion.

Indexed as

Artificial intelligenceInternet of thingsMachine learningSelf-powered sensorTriboelectric nanogenerator

Identifiers

PMID36538115
PMCPMC9768108

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.