Bibliometric Analysis of the Application of Convolutional Neural Network in Computer Vision

This article analyzes the research progress in field of Convolutional Neural Networks (CNNs) using the bibliometric method. Literature samples of CNNs are analyzed by a basic statistic and co-citation network. Experimental results show that CNNs are being utilized in many computer vision application...

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Main Authors: Huie Chen, Zhenjie Deng
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9177006/
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author Huie Chen
Zhenjie Deng
author_facet Huie Chen
Zhenjie Deng
author_sort Huie Chen
collection DOAJ
description This article analyzes the research progress in field of Convolutional Neural Networks (CNNs) using the bibliometric method. Literature samples of CNNs are analyzed by a basic statistic and co-citation network. Experimental results show that CNNs are being utilized in many computer vision applications, such as fault and image recognition diagnosis, seismic detection, positioning, and automatic detection of cracks and signals, image classification and image segmentation. In addition, there is systematic research on unbalanced problems in CNNs. Quantitative experimental research, extensive application fields, and market research informatization will be the three vital research tendencies in the future. The ideas and conclusions of this article provide insights to the academic research of CNNs and their practical application in the corporate world.
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spelling doaj.art-124a324351dd4e7ca0499b4316349c9b2022-12-21T22:23:53ZengIEEEIEEE Access2169-35362020-01-01815541715542810.1109/ACCESS.2020.30193369177006Bibliometric Analysis of the Application of Convolutional Neural Network in Computer VisionHuie Chen0https://orcid.org/0000-0002-4621-6718Zhenjie Deng1https://orcid.org/0000-0002-3432-2169School of Internet Finance and Information Engineering, Guangdong University of Finance, Guangzhou, ChinaSchool of Internet Finance and Information Engineering, Guangdong University of Finance, Guangzhou, ChinaThis article analyzes the research progress in field of Convolutional Neural Networks (CNNs) using the bibliometric method. Literature samples of CNNs are analyzed by a basic statistic and co-citation network. Experimental results show that CNNs are being utilized in many computer vision applications, such as fault and image recognition diagnosis, seismic detection, positioning, and automatic detection of cracks and signals, image classification and image segmentation. In addition, there is systematic research on unbalanced problems in CNNs. Quantitative experimental research, extensive application fields, and market research informatization will be the three vital research tendencies in the future. The ideas and conclusions of this article provide insights to the academic research of CNNs and their practical application in the corporate world.https://ieeexplore.ieee.org/document/9177006/Convolutional neural networkscomputer visionbibliometric analysis
spellingShingle Huie Chen
Zhenjie Deng
Bibliometric Analysis of the Application of Convolutional Neural Network in Computer Vision
IEEE Access
Convolutional neural networks
computer vision
bibliometric analysis
title Bibliometric Analysis of the Application of Convolutional Neural Network in Computer Vision
title_full Bibliometric Analysis of the Application of Convolutional Neural Network in Computer Vision
title_fullStr Bibliometric Analysis of the Application of Convolutional Neural Network in Computer Vision
title_full_unstemmed Bibliometric Analysis of the Application of Convolutional Neural Network in Computer Vision
title_short Bibliometric Analysis of the Application of Convolutional Neural Network in Computer Vision
title_sort bibliometric analysis of the application of convolutional neural network in computer vision
topic Convolutional neural networks
computer vision
bibliometric analysis
url https://ieeexplore.ieee.org/document/9177006/
work_keys_str_mv AT huiechen bibliometricanalysisoftheapplicationofconvolutionalneuralnetworkincomputervision
AT zhenjiedeng bibliometricanalysisoftheapplicationofconvolutionalneuralnetworkincomputervision