Assessing China’s salt lake resources R&D based on bibliometrics analysis

Su-mei Yan () and Ji-qing Sun ()
Additional contact information
Su-mei Yan: East China University of Science and Technology
Ji-qing Sun: East China University of Science and Technology

Scientometrics, 2015, vol. 105, issue 2, No 27, 1155 pages

Abstract: Abstract The aim of this article is to assess China’s R&D position and status on salt lake resources with a method combining bibliometrics with social network analysis. Patent data about the mining and usage of salt lake resources harvested from the SciFinder database and ranging from 1991 to 2010 is analyzed in this paper. The results show that there has been a rapid growth in patent publications regarding salt lake resources in the last 20 years, both at home and abroad. This is especially true with regard to the extraction and application of magnesium and potassium. China’s R&D in this field is worthy of attention, because China owns considerable salt lake reserves. The status of R&D groups in China is assessed via network analysis, through both Ucinet software and NetDraw software. We use separate records from the China Academic Journal Network Publishing Database (CAJD) and the Science Citation Index Expanded (SCIE), covering the time span from 2001 to 2010. A collaboration network is established, and its structure and attributes are analyzed with a view to assessing the R&D groups in this field. Results from these analysis demonstrated that China stands in a disadvantaged position in the implementation of related research and technology; several research groups have been formed to explore the mining of salt lake resources; Collaboration is mostly still confined to the domestic scene; cross-national collaboration has not yet started to grow. Finally, proposals are put forward for the formulation of an R&D strategy and for cultivating R&D groups.

Keywords: Salt lake resource R&D; Bibliometrics; Co-authorship; Social network analysis; Cohesion; Centrality (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-015-1721-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:105:y:2015:i:2:d:10.1007_s11192-015-1721-4

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-015-1721-4

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().