Evidence map›Paper›PMID 36985932›Full record

ArticleNanomaterials (Basel, Switzerland)2023

Low-Threshold, Multiple High-Order Harmonics Fiber Laser Employing Cr

Nannan Xu, Xinxin Shang, Shuo Sun, Fuhao Yang, Weiyu Fan, Huanian Zhang, Dengwang Li

Open access · goldAbstract read
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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
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

1 citing paper in PubMed, 11 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 1 country.

Nannan XuShandong Province Key Laboratory of Medical Physics and Image Processing Technology, School of Physics and Electronics, Shandong Normal University, Jinan 250014, China.
Xinxin ShangShandong Province Key Laboratory of Medical Physics and Image Processing Technology, School of Physics and Electronics, Shandong Normal University, Jinan 250014, China.ORCID 0000-0003-0611-014X
Shuo SunSchool of Physics and Optoelectronic Engineering, Shandong University of Technology, Zibo 255049, China.ORCID 0000-0002-7178-0564
Fuhao YangSchool of Physics and Optoelectronic Engineering, Shandong University of Technology, Zibo 255049, China.
Weiyu FanSchool of Physics and Optoelectronic Engineering, Shandong University of Technology, Zibo 255049, China.
Huanian ZhangSchool of Physics and Optoelectronic Engineering, Shandong University of Technology, Zibo 255049, China.
Dengwang LiShandong Province Key Laboratory of Medical Physics and Image Processing Technology, School of Physics and Electronics, Shandong Normal University, Jinan 250014, China.ORCID 0000-0001-5126-3888
Shandong University of Technology · CNShandong Normal University · CN

Funding

Jinan City-School Integration Development Strategy Project JNSX2021023Major Program of Shandong Province Natural Science Foundation ZR2022ZD16National Natural Science Foundation of China Grant nos. 61971271, 62271294Shandong Province Major Technological Innovation Project 2022CXGC020507, 2022CXGC010502, 2022CXGC020505
6 · The paper itself

Abstract

Abundant research findings have proved the value of two-dimensional (2D) materials in the study of nonlinear optics in fiber lasers. However, there remains two problems: how to reduce the start-up threshold, and how to improve the damage threshold, of fiber lasers based on 2D materials. A 15.1 mW low-threshold mode-locked fiber laser, based on a Cr

Indexed as

2D materialharmonic mode lockinglow-threshold fiber laser

Identifiers

PMID36985932
PMCPMC10052700
OpenAlexW4324149503

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.