Evidence map›Paper›PMID 31861476›Full record

ReviewMicromachines2019

Development Trends and Perspectives of Future Sensors and MEMS/NEMS.

Jianxiong Zhu, Xinmiao Liu, Qiongfeng Shi, Tianyiyi He, Zhongda Sun, Xinge Guo, Weixin Liu, Othman Bin Sulaiman, Bowei Dong, Chengkuo Lee

Abstract readReview
In one paragraph

Review in Micromachines, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing 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

88 citing papers in PubMed.

  1. Review
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  9. Enhancing drainage pipeline inspection: advanced integration of six-axis sensor fusion and extended Kalman filter.Water science and technology : a journal of the International Association on Water Pollution Research · 2025
    Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Research on Flexible Sensors for Wearable Devices: A Review.Nanomaterials (Basel, Switzerland) · 2025
    Review
  17. Article
  18. Article
  19. Article
  20. Article

28 more citing papers are in PubMed but not listed here.

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

10 authors.

Jianxiong ZhuDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore.
Xinmiao LiuDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore.
Qiongfeng ShiDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore.
Tianyiyi HeDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore.
Zhongda SunDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore.
Xinge GuoDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore.
Weixin LiuDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore.
Othman Bin SulaimanDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore.
Bowei DongDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore.
Chengkuo LeeDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore 117583, Singapore.

Funding

A*STAR-NCBR research grant R-263-000-C91-305NRF Competitive Research Programme-15th grant R-263-000-C24-281Research grant of RIE Advanced Manufacturing and Engineering A18A4b0055the research grant of HIFES Seed Funding R-263-501-012-133
6 · The paper itself

Abstract

With the fast development of the fifth-generation cellular network technology (5G), the future sensors and microelectromechanical systems (MEMS)/nanoelectromechanical systems (NEMS) are presenting a more and more critical role to provide information in our daily life. This review paper introduces the development trends and perspectives of the future sensors and MEMS/NEMS. Starting from the issues of the MEMS fabrication, we introduced typical MEMS sensors for their applications in the Internet of Things (IoTs), such as MEMS physical sensor, MEMS acoustic sensor, and MEMS gas sensor. Toward the trends in intelligence and less power consumption, MEMS components including MEMS/NEMS switch, piezoelectric micromachined ultrasonic transducer (PMUT), and MEMS energy harvesting were investigated to assist the future sensors, such as event-based or almost zero-power. Furthermore, MEMS rigid substrate toward NEMS flexible-based for flexibility and interface was discussed as another important development trend for next-generation wearable or multi-functional sensors. Around the issues about the big data and human-machine realization for human beings' manipulation, artificial intelligence (AI) and virtual reality (VR) technologies were finally realized using sensor nodes and its wave identification as future trends for various scenarios.

Indexed as

artificial intelligenceflexible sensorhuman-machine interfacemachine learningMEMS sensorzero-power sensor

Identifiers

PMID31861476
PMCPMC7019281

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.