Trends and Features of Human Brain Research Using Artificial Intelligence Techniques : A Bibliometric Approach

Xieling CHEN; Xinxin ZHANG; Haoran XIE; Fu Lee WANG; Jun YAN; Tianyong HAO

doi:10.1007/978-981-15-1398-5_5

Trends and Features of Human Brain Research Using Artificial Intelligence Techniques : A Bibliometric Approach

Xieling CHEN, Xinxin ZHANG, Haoran XIE, Fu Lee WANG, Jun YAN, Tianyong HAO^*

^*Corresponding author for this work

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

5 Citations (Scopus)

Abstract

Artificial Intelligence (AI) plays an increasingly important role in advancing human brain research, given the continually growing number of academic research articles in the last decade. Meanwhile, human brain research can provide opportunities for the development of innovative AI techniques. Exploring and tracking patterns of the scientific articles of human brain research using AI can provide a comprehensive overview of the interdisciplinary field. Thus, this paper presents a bibliometric analysis to identify research status and development trend of the field between 2009 and 2018. Specifically, we analyze annual distributions of articles and their citations, identify prolific journals and affiliations, and visualize characteristics of scientific collaboration. Furthermore, research topics are analyzed and revealed. The obtained findings benefit scholars in the field, to understand the current status of research as well as monitoring scientific and technological activities.

Original language	English
Title of host publication	Human Brain and Artificial Intelligence - 1st International Workshop, HBAI 2019, held in Conjunction with IJCAI 2019, Revised Selected Papers
Editors	An Zeng, Dan Pan, Tianyong Hao, Daoqiang Zhang, Yiyu Shi, Xiaowei Song
Publisher	Springer
Pages	69-83
Number of pages	15
ISBN (Print)	9789811513978
DOIs	https://doi.org/10.1007/978-981-15-1398-5_5
Publication status	Published - 10 Nov 2019
Externally published	Yes
Event	1st International Workshop on Human Brain and Artificial Intelligence, HBAI 2019, held in conjunction with the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019 - Macao, China Duration: 12 Aug 2019 → 12 Aug 2019

Publication series

Name	Communications in Computer and Information Science
Volume	1072
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	1st International Workshop on Human Brain and Artificial Intelligence, HBAI 2019, held in conjunction with the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019
Country/Territory	China
City	Macao
Period	12/08/19 → 12/08/19

Funding

This work was supported by National Natural Science Foundation of China (No. 61772146).

Keywords

Artificial Intelligence
Bibliometric analysis
Human brain research
Research hotspots
Scientific collaboration

Access to Document

10.1007/978-981-15-1398-5_5

Cite this

CHEN, X., ZHANG, X., XIE, H., WANG, F. L., YAN, J., & HAO, T. (2019). Trends and Features of Human Brain Research Using Artificial Intelligence Techniques : A Bibliometric Approach. In A. Zeng, D. Pan, T. Hao, D. Zhang, Y. Shi, & X. Song (Eds.), Human Brain and Artificial Intelligence - 1st International Workshop, HBAI 2019, held in Conjunction with IJCAI 2019, Revised Selected Papers (pp. 69-83). (Communications in Computer and Information Science; Vol. 1072). Springer. https://doi.org/10.1007/978-981-15-1398-5_5

CHEN, Xieling ; ZHANG, Xinxin ; XIE, Haoran et al. / Trends and Features of Human Brain Research Using Artificial Intelligence Techniques : A Bibliometric Approach. Human Brain and Artificial Intelligence - 1st International Workshop, HBAI 2019, held in Conjunction with IJCAI 2019, Revised Selected Papers. editor / An Zeng ; Dan Pan ; Tianyong Hao ; Daoqiang Zhang ; Yiyu Shi ; Xiaowei Song. Springer, 2019. pp. 69-83 (Communications in Computer and Information Science).

@inproceedings{3284e61308194530b087f92e4c16d1ce,

title = "Trends and Features of Human Brain Research Using Artificial Intelligence Techniques : A Bibliometric Approach",

abstract = "Artificial Intelligence (AI) plays an increasingly important role in advancing human brain research, given the continually growing number of academic research articles in the last decade. Meanwhile, human brain research can provide opportunities for the development of innovative AI techniques. Exploring and tracking patterns of the scientific articles of human brain research using AI can provide a comprehensive overview of the interdisciplinary field. Thus, this paper presents a bibliometric analysis to identify research status and development trend of the field between 2009 and 2018. Specifically, we analyze annual distributions of articles and their citations, identify prolific journals and affiliations, and visualize characteristics of scientific collaboration. Furthermore, research topics are analyzed and revealed. The obtained findings benefit scholars in the field, to understand the current status of research as well as monitoring scientific and technological activities.",

keywords = "Artificial Intelligence, Bibliometric analysis, Human brain research, Research hotspots, Scientific collaboration",

author = "Xieling CHEN and Xinxin ZHANG and Haoran XIE and WANG, {Fu Lee} and Jun YAN and Tianyong HAO",

year = "2019",

month = nov,

day = "10",

doi = "10.1007/978-981-15-1398-5_5",

language = "English",

isbn = "9789811513978",

series = "Communications in Computer and Information Science",

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pages = "69--83",

editor = "An Zeng and Dan Pan and Tianyong Hao and Daoqiang Zhang and Yiyu Shi and Xiaowei Song",

booktitle = "Human Brain and Artificial Intelligence - 1st International Workshop, HBAI 2019, held in Conjunction with IJCAI 2019, Revised Selected Papers",

note = "1st International Workshop on Human Brain and Artificial Intelligence, HBAI 2019, held in conjunction with the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019 ; Conference date: 12-08-2019 Through 12-08-2019",

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CHEN, X, ZHANG, X, XIE, H, WANG, FL, YAN, J & HAO, T 2019, Trends and Features of Human Brain Research Using Artificial Intelligence Techniques : A Bibliometric Approach. in A Zeng, D Pan, T Hao, D Zhang, Y Shi & X Song (eds), Human Brain and Artificial Intelligence - 1st International Workshop, HBAI 2019, held in Conjunction with IJCAI 2019, Revised Selected Papers. Communications in Computer and Information Science, vol. 1072, Springer, pp. 69-83, 1st International Workshop on Human Brain and Artificial Intelligence, HBAI 2019, held in conjunction with the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, 12/08/19. https://doi.org/10.1007/978-981-15-1398-5_5

Trends and Features of Human Brain Research Using Artificial Intelligence Techniques : A Bibliometric Approach. / CHEN, Xieling; ZHANG, Xinxin; XIE, Haoran et al.
Human Brain and Artificial Intelligence - 1st International Workshop, HBAI 2019, held in Conjunction with IJCAI 2019, Revised Selected Papers. ed. / An Zeng; Dan Pan; Tianyong Hao; Daoqiang Zhang; Yiyu Shi; Xiaowei Song. Springer, 2019. p. 69-83 (Communications in Computer and Information Science; Vol. 1072).

Research output: Book Chapters | Papers in Conference Proceedings › Conference paper (refereed) › Research › peer-review

TY - GEN

T1 - Trends and Features of Human Brain Research Using Artificial Intelligence Techniques : A Bibliometric Approach

AU - CHEN, Xieling

AU - ZHANG, Xinxin

AU - XIE, Haoran

AU - WANG, Fu Lee

AU - YAN, Jun

AU - HAO, Tianyong

PY - 2019/11/10

Y1 - 2019/11/10

N2 - Artificial Intelligence (AI) plays an increasingly important role in advancing human brain research, given the continually growing number of academic research articles in the last decade. Meanwhile, human brain research can provide opportunities for the development of innovative AI techniques. Exploring and tracking patterns of the scientific articles of human brain research using AI can provide a comprehensive overview of the interdisciplinary field. Thus, this paper presents a bibliometric analysis to identify research status and development trend of the field between 2009 and 2018. Specifically, we analyze annual distributions of articles and their citations, identify prolific journals and affiliations, and visualize characteristics of scientific collaboration. Furthermore, research topics are analyzed and revealed. The obtained findings benefit scholars in the field, to understand the current status of research as well as monitoring scientific and technological activities.

AB - Artificial Intelligence (AI) plays an increasingly important role in advancing human brain research, given the continually growing number of academic research articles in the last decade. Meanwhile, human brain research can provide opportunities for the development of innovative AI techniques. Exploring and tracking patterns of the scientific articles of human brain research using AI can provide a comprehensive overview of the interdisciplinary field. Thus, this paper presents a bibliometric analysis to identify research status and development trend of the field between 2009 and 2018. Specifically, we analyze annual distributions of articles and their citations, identify prolific journals and affiliations, and visualize characteristics of scientific collaboration. Furthermore, research topics are analyzed and revealed. The obtained findings benefit scholars in the field, to understand the current status of research as well as monitoring scientific and technological activities.

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KW - Bibliometric analysis

KW - Human brain research

KW - Research hotspots

KW - Scientific collaboration

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U2 - 10.1007/978-981-15-1398-5_5

DO - 10.1007/978-981-15-1398-5_5

M3 - Conference paper (refereed)

AN - SCOPUS:85076980745

SN - 9789811513978

T3 - Communications in Computer and Information Science

SP - 69

EP - 83

BT - Human Brain and Artificial Intelligence - 1st International Workshop, HBAI 2019, held in Conjunction with IJCAI 2019, Revised Selected Papers

A2 - Zeng, An

A2 - Pan, Dan

A2 - Hao, Tianyong

A2 - Zhang, Daoqiang

A2 - Shi, Yiyu

A2 - Song, Xiaowei

PB - Springer

T2 - 1st International Workshop on Human Brain and Artificial Intelligence, HBAI 2019, held in conjunction with the 28th International Joint Conference on Artificial Intelligence, IJCAI 2019

Y2 - 12 August 2019 through 12 August 2019

ER -

CHEN X, ZHANG X, XIE H, WANG FL, YAN J, HAO T. Trends and Features of Human Brain Research Using Artificial Intelligence Techniques : A Bibliometric Approach. In Zeng A, Pan D, Hao T, Zhang D, Shi Y, Song X, editors, Human Brain and Artificial Intelligence - 1st International Workshop, HBAI 2019, held in Conjunction with IJCAI 2019, Revised Selected Papers. Springer. 2019. p. 69-83. (Communications in Computer and Information Science). Epub 2019 Nov 10. doi: 10.1007/978-981-15-1398-5_5

Trends and Features of Human Brain Research Using Artificial Intelligence Techniques : A Bibliometric Approach

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