Evidence map›Paper›PMID 38793199›Full record

ReviewMicromachines2024

Progress in Research on White Organic Light-Emitting Diodes Based on Ultrathin Emitting Layers.

Wencheng Zhao, Xiaolin Hu, Fankang Kong, Jihua Tang, Duxv Yan, Jintao Wang, Yuru Liu, Yuanping Sun, Ren Sheng, Ping Chen

Abstract readReview
In one paragraph

Review in Micromachines, 2024. 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

10 authors.

Wencheng ZhaoInstitute of Physics and Electronic Information, Yantai University, Yantai 264005, China.
Xiaolin HuInstitute of Physics and Electronic Information, Yantai University, Yantai 264005, China.
Fankang KongInstitute of Physics and Electronic Information, Yantai University, Yantai 264005, China.
Jihua TangInstitute of Physics and Electronic Information, Yantai University, Yantai 264005, China.
Duxv YanInstitute of Physics and Electronic Information, Yantai University, Yantai 264005, China.
Jintao WangInstitute of Information Engineering, Yantai Institute of Technology, Yantai 264005, China.
Yuru LiuInstitute of Engineering Training Center, Yantai University, Yantai 264005, China.
Yuanping SunInstitute of Physics and Electronic Information, Yantai University, Yantai 264005, China.
Ren ShengInstitute of Physics and Electronic Information, Yantai University, Yantai 264005, China.
Ping ChenInstitute of Physics and Electronic Information, Yantai University, Yantai 264005, China.

Funding

Yantai University WL19JY05
6 · The paper itself

Abstract

White organic light-emitting diodes (WOLEDs) hold vast prospects in the fields of next-generation displays and solid-state lighting. Ultrathin emitting layers (UEMLs) have become a research hotspot because of their unique advantage. On the basis of simplifying the device structure and preparation process, they can achieve electroluminescent performance comparable to that of doped devices. In this review, we first discuss the working principles and advantages of WOLEDs based on UEML architecture, which can achieve low cost and more flexibility by simplifying the device structure and preparation process. Subsequently, the successful applications of doping and non-doping technologies in fluorescent, phosphorescent, and hybrid WOLEDs combined with UEMLs are discussed, and the operation mechanisms of these WOLEDs are emphasized briefly. We firmly believe that this article will bring new hope for the development of UEML-based WOLEDs in the future.

Indexed as

efficiencyultrathin emitting layerwhite organic light-emitting diode

Identifiers

PMID38793199
PMCPMC11123088

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.