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Yu, Dejian
- A Bibliometric Analysis of Research on Multiple Criteria Decision Making
Abstract Views :270 |
PDF Views:93
Authors
Affiliations
1 School of Information, Zhejiang University of Finance and Economics, Hangzhou, Zhejiang 310 018, CN
1 School of Information, Zhejiang University of Finance and Economics, Hangzhou, Zhejiang 310 018, CN
Source
Current Science, Vol 114, No 04 (2018), Pagination: 747-758Abstract
In this study, publications in the multiple criteria decision making (MCDM) field during 1977–2016 were analysed using bibliometric analysis. The statistical analysis of influential publications, journals, countries/territories and authors was first conducted. The developing trends of authors’ collaborative structure and research topics were then analysed based on four different periods. The results indicated that more number of publications and authors contributed to MCDM research in the last ten years, and that the collaboration among authors has increased. The comprehensive and scientific analysis of MCDM should help researchers conduct studies in related fields.Keywords
Bibliometrics, Multiple Criteria Decision Making, Multiple Attribute Decision Making, Social Network Analysis, VOSviewer.Full Text
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- Bibliometric Analysis of International Cooperation in Biomass Energy Research
Abstract Views :273 |
PDF Views:86
Authors
Xiaorong He
1,
Dejian Yu
2
Affiliations
1 School of Information Engineering, Nanjing Audit University, Nanjing, Jiangsu 211815, CN
2 School of Business, Nanjing Audit University, Nanjing, Jiangsu 211815, CN
1 School of Information Engineering, Nanjing Audit University, Nanjing, Jiangsu 211815, CN
2 School of Business, Nanjing Audit University, Nanjing, Jiangsu 211815, CN
Source
Current Science, Vol 117, No 11 (2019), Pagination: 1785-1792Abstract
It is well known that biomass energy has excellent environmental and economic benefits. The increasing international cooperation in the field of biomass energy has promoted the rapid coordinated development of global biomass energy research and industry. This article analyses academic papers in this field collected by SSCI or SCI from 2007 to 2016, uses bibliometrics for quantitative statistics and data mining, and VOSviewer software to generate international cooperation network maps. It also provides in-depth analysis and comprehensive comparison of changes in international cooperation in biomass energy research in major countries around the world, and reveals the context and direction of development in the global biomass energy field. The results of this study can provide scientific basis and support for the development of other related research work.Keywords
Biomass Energy, Bibliometrics, Data Mining, International Collaboration.Full Text
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