Evidence map›Paper›PMID 42761423›Full record

ReviewFrontiers in chemistry2026

Lead halide perovskite light-emitting diodes: navigating challenges and opportunities for next-generation display and lighting.

Linxiang Yang, Xiuting Wu, Beichen Yuan, Tianjun Hu, Cunyun Xu, Qingsong Shan, Haibo Zeng

Abstract readReview
In one paragraph

Review in Frontiers in chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Linxiang Yang *School of Materials and Energy, Guang'an Institute of Technology, Guang'an, China.
Xiuting Wu *MIIT Key Laboratory of Advanced Display Materials and Devices, Institute of Optoelectronics & Nanomaterials, School of Materials Science and Engineering, Nanjing University of Science and Technology, Nanjing, China.
Beichen YuanMIIT Key Laboratory of Advanced Display Materials and Devices, Institute of Optoelectronics & Nanomaterials, School of Materials Science and Engineering, Nanjing University of Science and Technology, Nanjing, China.
Tianjun HuMIIT Key Laboratory of Advanced Display Materials and Devices, Institute of Optoelectronics & Nanomaterials, School of Materials Science and Engineering, Nanjing University of Science and Technology, Nanjing, China.
Cunyun XuSchool of Materials and Energy, Guang'an Institute of Technology, Guang'an, China.
Qingsong ShanMIIT Key Laboratory of Advanced Display Materials and Devices, Institute of Optoelectronics & Nanomaterials, School of Materials Science and Engineering, Nanjing University of Science and Technology, Nanjing, China.
Haibo ZengMIIT Key Laboratory of Advanced Display Materials and Devices, Institute of Optoelectronics & Nanomaterials, School of Materials Science and Engineering, Nanjing University of Science and Technology, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lead halide perovskite light-emitting diodes (PeLEDs) have emerged as highly promising candidates for next-generation displays and solid-state lighting, achieving record-high external quantum efficiencies (EQEs) exceeding 30%. The perovskites possess outstanding optoelectronic properties, such as high photoluminescence quantum yields (PLQY), narrow full-width at half maximum (FWHM), and efficient radiative recombination, driven fundamentally by the unique Pb

Indexed as

device enhancementdisplay and lighting applicationslead halide perovskitelight-emitting diodessynthesis approaches

Identifiers

PMID42761423
PMCPMC13587233

What OpenQuestion holds

Textmetadata
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.