Evidence map›Paper›PMID 37158482›Full record

ArticleNano letters2023

Routing the Exciton Emissions of WS

Shasha Li, Ruoqi Ai, Ka Kit Chui, Yini Fang, Yunhe Lai, Xiaolu Zhuo, Lei Shao, Jianfang Wang, Hai-Qing Lin

Abstract read
In one paragraph

Article in Nano letters, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Dark-Field Scattering Imaging and Spectroscopy.ACS applied materials & interfaces · 2025
    Review
  2. Article
  3. Exciton hybridization in a WSNanophotonics (Berlin, Germany) · 2025
    Article
  4. Article
  5. 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

9 authors.

Shasha LiBeijing Computational Science Research Center, Beijing 100193, People's Republic of China.
Ruoqi AiDepartment of Physics, The Chinese University of Hong Kong, Shatin, Hong Kong SAR 999077, People's Republic of China.
Ka Kit ChuiDepartment of Physics, The Chinese University of Hong Kong, Shatin, Hong Kong SAR 999077, People's Republic of China.
Yini FangDepartment of Physics, The Chinese University of Hong Kong, Shatin, Hong Kong SAR 999077, People's Republic of China.
Yunhe LaiDepartment of Physics, The Chinese University of Hong Kong, Shatin, Hong Kong SAR 999077, People's Republic of China.
Xiaolu ZhuoSchool of Science and Engineering, The Chinese University of Hong Kong (Shenzhen), Shenzhen 518172, People's Republic of China.ORCID 0000-0002-5895-3336
Lei ShaoState Key Laboratory of Optoelectronic Materials and Technologies, Guangdong Province Key Laboratory of Display Material and Technology, School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou 510275, People's Republic of China.ORCID 0000-0003-2161-5103
Jianfang WangDepartment of Physics, The Chinese University of Hong Kong, Shatin, Hong Kong SAR 999077, People's Republic of China.ORCID 0000-0002-2467-8751
Hai-Qing LinBeijing Computational Science Research Center, Beijing 100193, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Locally routing the exciton emissions in two-dimensional (2D) transition-metal dichalcogenides along different directions at the nanophotonic interface is of great interest in exploiting the promising 2D excitonic systems for functional nano-optical components. However, such control has remained elusive. Herein we report on a facile plasmonic approach for electrically controlled spatial modulation of the exciton emissions in a WS

Indexed as

high-order plasmon modeslight routingplasmon−exciton interactionsilver nanorodstungsten disulfide monolayer

Identifiers

PMID37158482
PMCPMC10214448

What OpenQuestion holds

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Registered trials

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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.