The Knowledge Structure and Core Journals Analysis of Crop Science Based on Mapping Knowledge Domains - Computer and Computing Technologies in Agriculture IX - Part II Access content directly
Conference Papers Year : 2016

The Knowledge Structure and Core Journals Analysis of Crop Science Based on Mapping Knowledge Domains

Minjuan Liu
  • Function : Author
  • PersonId : 1020457
Lu Chen
  • Function : Author
  • PersonId : 1020458
Xue Yuan
  • Function : Author
  • PersonId : 1020459
Ting Wang
  • Function : Author
  • PersonId : 1020460
Yun Yan
  • Function : Author
  • PersonId : 1020461
Yuefei Wang
  • Function : Author
  • PersonId : 1020462

Abstract

This paper aims at revealing the potential structure of crop science and core journals distribution to provide reference and help for crop research and journal work. On the basis of journal co-citation analysis this paper draws the co-citation map of Crop Science Journal by means of mapping knowledge domains and information visualization technology. 86 crop science journals can be roughly divided into two groups and each group of journals can be subdivided into two regions. Plant science (including plant physiology, plant ecology, plant cell etc.) and biology and chemistry (including biochemistry and molecular biology, gene and genetics etc.) are the mainstream research field of crop science. Crop production and soil science is another important branch of crop science. In addition, there is the phenomenon of cross integration between crop science and environment, horticultural science, plant protection, food processing, animal husbandry etc.
Fichier principal
Vignette du fichier
434298_1_En_39_Chapter.pdf (522.06 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01614207 , version 1 (10-10-2017)

Licence

Attribution

Identifiers

Cite

Minjuan Liu, Lu Chen, Xue Yuan, Ting Wang, Yun Yan, et al.. The Knowledge Structure and Core Journals Analysis of Crop Science Based on Mapping Knowledge Domains. 9th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2015, Beijing, China. pp.392-403, ⟨10.1007/978-3-319-48354-2_39⟩. ⟨hal-01614207⟩
50 View
234 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More