Evidence map›Paper›PMID 37520101›Full record

ReviewRSC advances2023

Graphene nanowalls in photodetectors.

Jun Yang, Qi Yang, Yongna Zhang, Xingzhan Wei, Haofei Shi

Abstract readReview
In one paragraph

Review in RSC advances, 2023. 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

5 authors.

Jun YangChongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences Chongqing 400714 P. R. China jyang@cigit.ac.cn.ORCID https://orcid.org/0000-0003-1652-0054
Qi YangChongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences Chongqing 400714 P. R. China jyang@cigit.ac.cn.
Yongna ZhangChongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences Chongqing 400714 P. R. China jyang@cigit.ac.cn.
Xingzhan WeiChongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences Chongqing 400714 P. R. China jyang@cigit.ac.cn.
Haofei ShiChongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences Chongqing 400714 P. R. China jyang@cigit.ac.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Graphene nanowalls (GNWs) have emerged as a promising material in the field of photodetection, thanks to their exceptional optical, electrical, mechanical, and thermodynamic properties. However, the lack of a comprehensive review in this domain hinders the understanding of GNWs' development and potential applications. This review aims to provide a systematic summary and analysis of the current research status and challenges in GNW-based photodetectors. We begin by outlining the growth mechanisms and methods of GNWs, followed by a discussion on their physical properties. Next, we categorize and analyze the latest research progress in GNW photodetectors, focusing on photovoltaic, photoconductive, and photothermal detectors. Lastly, we offer a summary and outlook, identifying potential challenges and outlining industry development directions. This review serves as a valuable reference for researchers and industry professionals in understanding and exploring the opportunities of GNW materials in photodetection.

Identifiers

PMID37520101
PMCPMC10375065

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.