Paper Info
Title
A Bibliometric And Visual Analysis Of Artificial Intelligence Technologies-Enhanced Brain Mri Research
Abstract
With the advances and development of imaging and computer technologies, the application of artificial intelligence (AI) in the processing of magnetic resonance imaging (MRI) data has become a significant research field. Based on 2572 research articles concerning AI-enhanced brain MRI processing, this study provides a latent Dirichlet allocation based bibliometric analysis for the exploration of the status, trends, major research issues, and potential future directions of the research field. The trend analyses of articles and citations demonstrate a flourishing and increasing impact of the research.Neuroimageis the most prolific and influential journal. The USA andUniversity College Londonhave contributed the most to the research. The collaboration between European countries is very close. Essential research issues such asImage segmentation,Mental disorder,Functional network connectivity, andAlzheimer's diseasehave been uncovered. Potential inter-topic research directions such asFunctional network connectivityandMental disorder,Image segmentationandImage classification,Cognitive impairmentandDiffusion imaging, as well asSense and memoryandEmotion and feedback, have been highlighted.
Year
DOI
Venue
2021
10.1007/s11042-020-09062-7
MULTIMEDIA TOOLS AND APPLICATIONS
Keywords
DocType
Volume
Magnetic resonance imaging, Artificial intelligence, Latent Dirichlet allocation, Research topics
Journal
80
Issue
ISSN
Citations 
11
1380-7501
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Xieling Chen1179.41
Xinxin Zhang200.68
Haoran Xie345071.21
Xiaohui Tao427038.85
Fu Lee Wang5926118.55
Nengfu Xie6188.62
Tianyong Hao7265.92