A scientometric study on components of Soft Computing methods from 1999 to 2019 for top most populated countries from Asian Continent-Reference-Cited by-同舟云学术

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A scientometric study on components of Soft Computing methods from 1999 to 2019 for top most populated countries from Asian Continent

Published:2022-02-11 Issue:4 Volume:13 Page:3015-3040
ISSN:2190-5509
Container-title:Applied Nanoscience
language:en
Short-container-title:Appl Nanosci

Author:

Kesavan M. Barath,Ramkumar S.,Kartheeswaran S.,Lavakumar V.,Elanjiyam G.,Priya B. Shanmuga,Thamaraiselvi G.

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Cell Biology,Physical and Theoretical Chemistry,Materials Science (miscellaneous),Atomic and Molecular Physics, and Optics,Biotechnology

Link

https://link.springer.com/content/pdf/10.1007/s13204-022-02380-2.pdf

Reference26 articles.

1. Cancino CA, Merigó JM, Coronado FC (2017) A bibliometric analysis of leading universities in innovation research análisisbibliométrico de lasuniversidadeslíderes en la investigaciónsobreInnovación. J Innov Knowl 2(3):106–124

2. Eck NJV, Waltman L (2007) Bibliometric mapping of the computational intelligence field. Int J Uncertain Fuzziness Knowl-Based Syst 15(5):625–645

3. Eck NJV, Waltman L, Dekker R, Berg J (2010) A comparison of two techniques for bibliometric mapping: multidimensional scaling and VOS. J Am Soc Inform Sci Technol 61(12):2405–2416

4. Fatehi F, Gray LC, Wootton R (2014) How to improve your PubMed/MEDLINE searches: 3. Advanced searching, MeSH and My NCBI. J Telemed Telecare 20(2):102–112

5. Faust O, Hagiwara Y, Hong TJ, Lih OS, Acharya UR (2018) Deep learning for healthcare applications based on physiological signals. A review. Comput Methods Programs Biomed 161:1–13

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