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. Copyright © 2019 Springer Nature Singapore Pte Ltd.
|Title of host publication||Human brain and artificial intelligence: First international workshop, HBAI 2019, held in conjunction with IJCAI 2019, Macao, China, August 12, 2019, revised selected papers|
|Editors||An ZENG, Dan PAN, Tianyong HAO, Daoqiang ZHANG, Yiyu SHI, Xiaowei SONG|
|Place of Publication||Singapore|
|Publication status||Published - 2019|
CitationChen, 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: First international workshop, HBAI 2019, held in conjunction with IJCAI 2019, Macao, China, August 12, 2019, revised selected papers (pp. 69-83). Singapore: Springer.
- Human brain research
- Artificial Intelligence
- Bibliometric analysis
- Scientific collaboration
- Research hotspots
- PG student publication