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

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Human Brain and Artificial Intelligence (HBAI 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1072))

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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.

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Acknowledgements

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

Author information

Authors and Affiliations

  1. Department of Mathematics and Information Technology, The Education University of Hong Kong, Hong Kong SAR, China

    Xieling Chen & Haoran Xie

  2. Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, China

    Xinxin Zhang

  3. School of Science and Technology, The Open University of Hong Kong, Hong Kong SAR, China

    Fu Lee Wang

  4. AI Lab, Yidu Cloud (Beijing) Technology Co., Ltd., Beijing, China

    Jun Yan

  5. School of Computer Science, South China Normal University, Guangzhou, China

    Tianyong Hao

Authors
  1. Xieling Chen
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  2. Xinxin Zhang
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  3. Haoran Xie
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  4. Fu Lee Wang
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  5. Jun Yan
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  6. Tianyong Hao
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Corresponding author

Correspondence to Tianyong Hao .

Editor information

Editors and Affiliations

  1. Guangdong University of Technology, Guangzhou, China

    An Zeng

  2. Guangdong Construction Polytechnic, Guangzhou, China

    Dan Pan

  3. South China Normal University, Guangzhou, China

    Tianyong Hao

  4. Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Daoqiang Zhang

  5. University of Notre Dame, South Bend, IN, USA

    Yiyu Shi

  6. Simon Fraser University, Vancouver, BC, Canada

    Xiaowei Song

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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: Zeng, A., Pan, D., Hao, T., Zhang, D., Shi, Y., Song, X. (eds) Human Brain and Artificial Intelligence. HBAI 2019. Communications in Computer and Information Science, vol 1072. Springer, Singapore. https://doi.org/10.1007/978-981-15-1398-5_5

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  • DOI: https://doi.org/10.1007/978-981-15-1398-5_5

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-1397-8

  • Online ISBN: 978-981-15-1398-5

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