Evidence map›Paper›PMID 37242098›Full record

ArticleNanomaterials (Basel, Switzerland)2023

High-Performance Graphene Nanowalls/Si Self-Powered Photodetectors with HfO

Yuheng Shen, Yulin Li, Wencheng Chen, Sijie Jiang, Cheng Li, Qijin Cheng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. ONanomaterials (Basel, Switzerland) · 2025
    Article
  2. Article
  3. Review
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.

Yuheng ShenSchool of Electronic Science and Engineering, Xiamen University, Xiamen 361102, China.
Yulin LiSchool of Electronic Science and Engineering, Xiamen University, Xiamen 361102, China.
Wencheng ChenSchool of Electronic Science and Engineering, Xiamen University, Xiamen 361102, China.
Sijie JiangSchool of Electronic Science and Engineering, Xiamen University, Xiamen 361102, China.
Cheng LiSchool of Electronic Science and Engineering, Xiamen University, Xiamen 361102, China.ORCID 0000-0003-0282-7899
Qijin ChengSchool of Electronic Science and Engineering, Xiamen University, Xiamen 361102, China.

Funding

Natural Science Foundation of Fujian Province Grant No. 2021J01054Shenzhen Science and Technology Innovation Committee Grant No. JCYJ20190809160401653
6 · The paper itself

Abstract

Graphene/silicon (Si) heterojunction photodetectors are widely studied in detecting of optical signals from near-infrared to visible light. However, the performance of graphene/Si photodetectors is limited by defects created in the growth process and surface recombination at the interface. Herein, a remote plasma-enhanced chemical vapor deposition is introduced to directly grow graphene nanowalls (GNWs) at a low power of 300 W, which can effectively improve the growth rate and reduce defects. Moreover, hafnium oxide (HfO

Indexed as

graphene nanowallshafnium oxidephotodetectorsplasma-enhanced chemical vapor deposition

Identifiers

PMID37242098
PMCPMC10222753

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.