scholarly journals Toward internationalization: a bibliometric analysis of the social sciences in Mainland China from 1979 to 2018

2020 ◽  
Author(s):  
Lin Zhang ◽  
Yuanyuan Shang ◽  
Ying HUANG ◽  
Gunnar Sivertsen
Keyword(s):  
Social Science ◽  
Social Issues ◽  
Social Science Research ◽  
Mainland China ◽  
Social Science Citation Index ◽  
Science Research ◽  
Steady Increase ◽  
Business Economics ◽  
The Past ◽  
The Social

The past 40 years have witnessed profound changes in the international connectivity and competitiveness of Mainland China’s scientific research. Based on publication data about Chinese researchers in the Social Science Citation Index (SSCI) from the Web of Science (WoS), this study aims to provide a birds-eye view of how social science research in Mainland China has internationalized over the past four decades. The findings show that the number of social science articles published by Chinese authors in international journals has experienced a noticeable increase over the period and the collaboration networks of researchers from Mainland China have broadened, with the number of articles with a Chinese first author showing a strong upward trend. In addition, findings show that Chinese scholars are published in a wider range of journals and there has been a steady increase in their appearance in higher impact journals (influenced in part by certain journals). Finally, different social science disciplines show various degrees of internationalization, with Psychology and Business, Economics, Planning accounting for a high proportion of international collaboration articles, while the proportion of Mainland China-led articles and Q1 articles are relatively higher in the areas of Education, Media & Information, and Community & Social Issues. This study provides a broad view from which to examine the internationalization process in Mainland China’s social science landscape in the last four decades while also noting some of the possible underlying explanations for these changes, thereby deepening our understanding of social science research stemming from the region.

scholarly journals Toward internationalization: A bibliometric analysis of the social sciences in Mainland China from 1979 to 2018

2020 ◽  
pp. 1-33
Author(s):  
Lin Zhang ◽  
Yuanyuan Shang ◽  
Ying Huang ◽  
Gunnar Sivertsen
Keyword(s):  
Social Sciences ◽  
Social Science ◽  
Social Science Research ◽  
Mainland China ◽  
Science Research ◽  
Steady Increase ◽  
Noticeable Increase ◽  
The Past ◽  
The Social ◽  
Chinese Scholars

The past 40 years have witnessed profound changes in the international competitiveness of Mainland China’s scientific research. Based on publication data from Chinese researchers in the Social Sciences Citation Index (SSCI) from the Web of Science (WoS), this study aims to provide a bird’s-eye view of how social science research in Mainland China has internationalized over the past four decades. The findings show that the number of social science articles published by Chinese authors in international journals has experienced a noticeable increase, and the collaboration networks of researchers from Mainland China have broadened, with the number of articles with a Chinese first author showing a strong upward trend. In addition, findings show that Chinese scholars are published in a wider range of journals, and there has been a steady increase in their appearance in higher impact journals (influenced in part by certain journals). Finally, different social science disciplines show various degrees of internationalization . This study provides a broad view from which to examine the internationalization process in Mainland China’s social science landscape in the last four decades, while also noting some of the possible explanations for these changes, thereby deepening our understanding of social science research stemming from the region.

scholarly journals A decade of antimicrobial resistance research in social science fields: a scientometric review

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Jiahui Lu ◽  
Anita Sheldenkar ◽  
May Oo Lwin
Keyword(s):  
Social Sciences ◽  
Antimicrobial Resistance ◽  
Social Science ◽  
One Health ◽  
Social Issues ◽  
Social Science Research ◽  
Science Research ◽  
Science Field ◽  
The Past ◽  
The Social

Abstract Background Though social sciences are expectedly instrumental in combating antimicrobial resistance (AMR), their research on AMR has been historically lacking. Objectives This study aims to understand the current academic literature on AMR within the social science field by investigating international contributions, emerging topics, influential articles, and prominent outlets, to identify research gaps and future directions. Methods Bibliometric data of 787 peer-reviewed journal articles published in the period of 2010 to 2019 were extracted from the Social Science Citation Index in the Web of Science database. Bibliographic networks of the extracted articles were examined. Results Social science research on AMR has grown rapidly in the past 5 years. While western developed countries contributed the most to the field in the past decade, research within developing regions such as Asia and Africa have increased in the last 2 years. Social sciences have been contributing to AMR research in several different domains from surveillance and risk assessment of AMR, to promotions of appropriate use of antimicrobials in primary care and clinical settings. Though the idea of one health has been incorporated into research on AMR within the medical and microbial science fields, it has not been well recognized by social sciences. Conclusion Social science research on AMR is a new, while rapidly developing, research area that requires continued and intense global efforts from an interdisciplinary and one health approach. Research on social issues surrounding AMR transmissions between human, animal, and environments should be emphasized in the future.

scholarly journals A data driven methodology for social science research with left-behind children as a case study

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0242483
Author(s):  
Chao Wu ◽  
Guolong Wang ◽  
Simon Hu ◽  
Yue Liu ◽  
Hong Mi ◽  
...  
Keyword(s):  
Machine Learning ◽  
Social Science ◽  
Social Issues ◽  
Social Science Research ◽  
Science Research ◽  
Data Driven ◽  
Machine Learning Techniques ◽  
Left Behind ◽  
Learning Techniques ◽  
The Social

For decades, traditional correlation analysis and regression models have been used in social science research. However, the development of machine learning algorithms makes it possible to apply machine learning techniques for social science research and social issues, which may outperform standard regression methods in some cases. Under the circumstances, this article proposes a methodological workflow for data analysis by machine learning techniques that have the possibility to be widely applied in social issues. Specifically, the workflow tries to uncover the natural mechanisms behind the social issues through a data-driven perspective from feature selection to model building. The advantage of data-driven techniques in feature selection is that the workflow can be built without so much restriction of related knowledge and theory in social science. The advantage of using machine learning techniques in modelling is to uncover non-linear and complex relationships behind social issues. The main purpose of our methodological workflow is to find important fields relevant to the target and provide appropriate predictions. However, to explain the result still needs theory and knowledge from social science. In this paper, we trained a methodological workflow with left-behind children as the social issue case, and all steps and full results are included.

Sign in / Sign up

Export Citation Format

Share Document