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International Journal of Machine Learning and Cybernetics
Erschienen in: International Journal of Machine Learning and Cybernetics 12/2020

28.06.2020 | Original Article

A bibliometric analysis on deep learning during 2007–2019

verfasst von: Yang Li, Zeshui Xu, Xinxin Wang, Xizhao Wang

Erschienen in: International Journal of Machine Learning and Cybernetics | Ausgabe 12/2020

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Abstract

As an emerging and applicable method, deep learning (DL) has attracted much attention in recent years. With the development of DL and the massive of publications and researches in this direction, a comprehensive analysis of DL is necessary. In this paper, from the perspective of bibliometrics, a comprehensive analysis of publications of DL is deployed from 2007 to 2019 (the first publication with keywords “deep learning” and “machine learning” was published in 2007). By preprocessing, 5722 publications are exported from Web of Science and they are imported into the professional science mapping tools: VOS viewer and Cite Space. Firstly, the publication structures are analyzed based on annual publications, and the publication of the most productive countries/regions, institutions and authors. Secondly, by the use of VOS viewer, the co-citation networks of countries/regions, institutions, authors and papers are depicted. The citation structure of them and the most influential of them are further analyzed. Thirdly, the cooperation networks of countries/regions, institutions and authors are illustrated by VOS viewer. Time-line review and citation burst detection of keywords are exported from Cite Space to detect the hotspots and research trend. Finally, some conclusions of this paper are given. This paper provides a preliminary knowledge of DL for researchers who are interested in this area, and also makes a conclusive and comprehensive analysis of DL for these who want to do further research on this area.
Vorheriger Artikel Multivariate morphological reconstruction based fuzzy clustering with a weighting multi-channel guided image filter for color image segmentation
Nächster Artikel Benchmarking algorithms for food localization and semantic segmentation

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Metadaten
Titel
A bibliometric analysis on deep learning during 2007–2019
verfasst von
Yang Li
Zeshui Xu
Xinxin Wang
Xizhao Wang
Publikationsdatum
28.06.2020
Verlag
Springer Berlin Heidelberg
Erschienen in
International Journal of Machine Learning and Cybernetics / Ausgabe 12/2020
Print ISSN: 1868-8071
Elektronische ISSN: 1868-808X
DOI
https://doi.org/10.1007/s13042-020-01152-0

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