Detecting emerging research fronts in regenerative medicine by the citation network analysis of scientific publications

2011 ◽  
Vol 78 (2) ◽  
pp. 274-282 ◽  
Author(s):  
Naoki Shibata ◽  
Yuya Kajikawa ◽  
Yoshiyuki Takeda ◽  
Ichiro Sakata ◽  
Katsumori Matsushima
Keyword(s):  
Network Analysis ◽  
Regenerative Medicine ◽  
Citation Network ◽  
Scientific Publications ◽  
Research Fronts ◽  
Citation Network Analysis

scholarly journals Bibliometric Profile of Global Microplastics Research from 2004 to 2019

2020 ◽  
Vol 17 (16) ◽  
pp. 5639 ◽  
Author(s):  
Fen Qin ◽  
Jing Du ◽  
Jian Gao ◽  
Guiying Liu ◽  
Yonggang Song ◽  
...  
Keyword(s):  
Network Analysis ◽  
Animal Health ◽  
Publication Output ◽  
Citation Network ◽  
Knowledge Bases ◽  
Point Of View ◽  
Scientific Publications ◽  
Related Research ◽  
Citation Network Analysis ◽  
Bibliometric Profile

Microplastics (MPs) have generated worldwide attention due to their global distribution in the environment, and their potential harmful effects on human and animal health. To analyze MPs-related scientific publications from a global point of view, we created a bibliometric profile, by searching the Web of Science Core Collection database for the topic “microplastic* or (micro near/1 plastic*)”, in publications dated from 2004 to 2019. The results revealed an increasing trend in publication output, and identified contributions of different countries and their collaborations, as well as influential authors and productive journals in the field of MPs research. Using co-citation network analysis in VOSviewer, we mined cited references for knowledge bases about analytical methods, potential sources and spatial distributions of MPs, the impacts of MPs on organisms, and the interaction of MPs with contaminants, as well as microorganisms. We also identified four global hotspots for MPs related research, using author keywords co-occurrence network analysis of all extracted publications, as well as Essential Science Indicators highly cited papers from Clarivate Analytics. Results of this study provide a valuable reference for ongoing MPs-related research, which may be of intrigue and awesome noteworthiness for relevant researchers.

Textile-based fiber optic sensors for health monitoring: A systematic and citation network analysis review

2021 ◽  
pp. 004051752110362
Author(s):  
Ka-Po Lee ◽  
Joanne Yip ◽  
Kit-Lun Yick ◽  
Chao Lu ◽  
Chris K Lo
Keyword(s):  
Network Analysis ◽  
Fiber Optic ◽  
Vital Signs ◽  
Citation Network ◽  
Fiber Optic Sensors ◽  
Superior Performance ◽  
Vital Signs Monitoring ◽  
Wear Comfort ◽  
Citation Network Analysis ◽  
Research Domains

Receptivity towards textile-based fiber optic sensors that are used to monitor physical health is increasing as they have good flexibility, are light in weight, provide wear comfort, have electromagnetic immunity, and are electrically safe. Their superior performance has facilitated their use for obtaining close to body measurements. However, there are many related studies in the literature, so it is challenging to identify the knowledge structure and research trends. Therefore, this article aims to provide an objective and systematic literature review on textile-based fiber optic sensors that are used for monitoring health issues and to analyze their trends through a citation network analysis. A full-text search of journal articles was conducted in the Web of Science Core Collection, and a total of 625 studies was found, with 47 that were used as the sample. Also, CitNetExplorer was used for analyzing the research domains and trends. Three research domains were identified, among them, “Flexible sensors for vital signs monitoring” is the largest research cluster, and most of the articles in this cluster focus on respiratory monitoring. Therefore, this area of study should probably be on the academic radar. The collection of data on textile-based fiber optic sensors is invaluable for evaluating degree of rehabilitation, detecting diseases, preventing accidents, as well as gauging the performance and training successfulness of athletes.

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