Evidence map›Paper›PMID 41876472›Full record

ReviewMicrosystems & nanoengineering2026

A comprehensive review of hydrogen sensor for thermal runaway monitoring: fundamentals, recent advancements, and challenges.

Lin Liu, Chenfei Guo, Yingyi Wang, Kejie Guan, Sujie Qin, Xiaoshuang Gou, Fuqin Sun, Cheng Zhang, Weifan Zhou, Zhengyang Cai and 5 more

Abstract readReview
In one paragraph

Review in Microsystems & nanoengineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

15 authors.

Lin Liui-lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), Suzhou, Jiangsu, PR China. liulin2013@sinano.ac.cn.
Chenfei Guoi-lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), Suzhou, Jiangsu, PR China.
Yingyi Wangi-lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), Suzhou, Jiangsu, PR China.
Kejie Guani-lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), Suzhou, Jiangsu, PR China.
Sujie QinDepartment of Health and Environmental Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu, PR China.
Xiaoshuang Goui-lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), Suzhou, Jiangsu, PR China.
Fuqin Suni-lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), Suzhou, Jiangsu, PR China.
Cheng ZhangKey Laboratory of Efficient Low-carbon Energy Conversion and Utilization of Jiangsu Provincial Higher Education Institutions, School of Physical Science and Technology, Suzhou University of Science and Technology, Suzhou, PR China.ORCID http://orcid.org/0000-0002-4134-2854
Weifan Zhoui-lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), Suzhou, Jiangsu, PR China.
Zhengyang CaiSchool of Integrated Circuits, Jiangnan University, Wuxi, Jiangsu, PR China.
Jun Xui-lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), Suzhou, Jiangsu, PR China.
Fan Liui-lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), Suzhou, Jiangsu, PR China.
Zihua Tiani-lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), Suzhou, Jiangsu, PR China.
Xiaowei Wangi-lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), Suzhou, Jiangsu, PR China. xwwang2022@sinano.ac.cn.
Ting Zhangi-lab, Suzhou Institute of Nano-Tech and Nano-Bionics (SINANO), Chinese Academy of Sciences (CAS), Suzhou, Jiangsu, PR China. tzhang2009@sinano.ac.cn.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52203356National Natural Science Foundation of China (National Science Foundation of China) 62125112National Natural Science Foundation of China (National Science Foundation of China) 62204254National Natural Science Foundation of China (National Science Foundation of China) 62301553National Natural Science Foundation of China (National Science Foundation of China) 62371448National Natural Science Foundation of China (National Science Foundation of China) 62401563Natural Science Foundation of Jiangsu Province (Jiangsu Provincial Natural Science Foundation) (BK20230234Natural Science Foundation of Jiangsu Province (Jiangsu Provincial Natural Science Foundation) BK20243004
6 · The paper itself

Abstract

Thermal runaway (TR) in lithium-ion batteries (LIBs) remains an intrinsic safety issue, posing significant risks of fire and explosion. Among various technologies employed to assess LIB status- including temperature, pressure, voltage, and gas measurements-gas sensors exhibit superior response speed and stronger sensing abilities. Notably, H

Identifiers

PMID41876472
PMCPMC13013757

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.