Evidence map›Paper›PMID 38610112›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Spectrometer-Less Remote Sensing Image Classification Based on Gate-Tunable van der Waals Heterostructures.

Yali Yu, Mianzeng Zhong, Tao Xiong, Jian Yang, Pengwei Hu, Haoran Long, Ziqi Zhou, Kaiyao Xin, Yue-Yang Liu, Juehan Yang and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. 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. Gate-Tunable Polarity-Reconfigurable Photovoltaic Response With Dual Linearity in NbSAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Article
  3. 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

13 authors.

Yali YuState Key Laboratory of Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.
Mianzeng ZhongHunan Key Laboratory of Nanophotonics and Devices, School of Physics, Central South University, Changsha, Hunan, 410083, China.
Tao XiongState Key Laboratory of Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.
Jian YangSchool of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, China.
Pengwei HuSchool of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, 100191, China.
Haoran LongState Key Laboratory of Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.
Ziqi ZhouState Key Laboratory of Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.
Kaiyao XinState Key Laboratory of Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.
Yue-Yang LiuState Key Laboratory of Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.
Juehan YangState Key Laboratory of Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.
Jianzhong QiaoSchool of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, China.
Duanyang LiuState Key Laboratory of Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.
Zhongming WeiState Key Laboratory of Superlattices and Microstructures, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, 100083, China.ORCID https://orcid.org/0000-0002-6237-0993

Funding

Beijing Natural Science Foundation Z220005CAS Project for Young Scientists in Basic Research YSBR-053Chinese Academy of Sciences CAS-WX2023PY-0101National Natural Science Foundation of China 62004193National Natural Science Foundation of China 62125404National Natural Science Foundation of China 62174155Strategic Priority Research Program of Chinese Academy of Sciences XDB43000000
6 · The paper itself

Abstract

Remote sensing technology, which conventionally employs spectrometers to capture hyperspectral images, allowing for the classification and unmixing based on the reflectance spectrum, has been extensively applied in diverse fields, including environmental monitoring, land resource management, and agriculture. However, miniaturization of remote sensing systems remains a challenge due to the complicated and dispersive optical components of spectrometers. Here, m-phase GaTe

Indexed as

alloy engineeringdeep learning algorithmsgate‐tunable photodetectortarget classificationwide‐spectral

Identifiers

PMID38610112
PMCPMC11200008

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.