Evidence map›Paper›PMID 33052196›Full record

ArticleAn international journal on information fusion2021

Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network.

Shui-Hua Wang, Vishnu Varthanan Govindaraj, Juan Manuel Górriz, Xin Zhang, Yu-Dong Zhang

Abstract read
In one paragraph

Article in An international journal on information fusion, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.

0numbers the graph read from it
0cells of the map it votes in
80citing 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

80 citing papers in PubMed.

  1. Article
  2. Performance of AI Approaches for COVID-19 Diagnosis Using Chest CT Scans: The Impact of Architecture and Dataset.RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin · 2026
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20 more citing papers are in PubMed but not listed here.

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

5 authors.

Shui-Hua WangDepartment of Cardiovascular Sciences, University of Leicester, LE1 7RH, UK.
Vishnu Varthanan GovindarajDepartment of Biomedical Engineering, Kalasalingam Academy of Research and Education, Srivilliputhur post, Krishnankoil 626 126, Tamil Nadu, India.
Juan Manuel GórrizDepartment of Signal Theory, Networking and Communications, University of Granada, Granada, Spain.
Xin ZhangDepartment of Medical Imaging, The Fourth People's Hospital of Huai'an, Huai'an, Jiangsu Province, 223002, China.
Yu-Dong ZhangDepartment of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(

Indexed as

Batch normalizationConvolutional neural networkDeep feature fusionDropoutGraph convolutional networkMultiple-way data augmentationRank-based average pooling

Identifiers

PMID33052196
PMCPMC7544601

What Socratic 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 Socratic graph.