Visualization Analysis of Subject, Region, Author, and Citation on Crop Growth Model by CiteSpace II Software

  • Hailong Liu
  • Yeping Zhu
  • Yanzhi Guo
  • Shijuan Li
  • Jingyi Yang
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 278)

Abstract

A detailed visual analysis of publications related to crop growth model development and trend was carried out based on the latest version of information visualization and analysis software CiteSpace II. A total of 6,079 publication data between 1995 and 2011 were collected from Thomson ISI’s SCI (Web of science in the Science Citation Index Expanded Edition). After analysis by CiteSpace, the most productive countries related to Crop Growth Model, as well as institutes, key scholars, co-citation patterns, etc., were visualized and identified from 1995 to 2011.

Keywords

Mapping knowledge domains Crop growth model Information visualization Co-citation analysis CiteSpace II 

Notes

Acknowledgments

This research was supported by National High Technology Research and Development Program of China (2013AA102305).

References

  1. 1.
    Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evaporation: guidelines for computing crop water requirements. FAO Irrigation and Drainage paper 56Google Scholar
  2. 2.
    Borgatti SP (2002) Netdraw network visualization. Analytic Technologies, CambridgeGoogle Scholar
  3. 3.
    Brisson N, Gary C, Justes E, Roche R, Mary B, Ripoche D, Zimmer D, Sierra J, Bertuzzi P, Burger P, Bussiere F, Cabidoche YM, Cellier P, Debaeke P, Gaudillere JP, Henault C, Maraux F, Seguin B, Sinoquet H (2003) An overview of the crop model STICS. Eur J Agron 18(3–4):309–332CrossRefGoogle Scholar
  4. 4.
    Chen C (2004) Searching for intellectual turning points: progressive knowledge domain visualization. In: Proceedings of National Academy of Sciences, 101(Suppl.):5303-5310Google Scholar
  5. 5.
    Chen C (2006) CiteSpace II: detecting and visualizing emerging trends and transient patterns in scientific literature. J Am Soc Inform Sci Technol 57(3):359–377CrossRefGoogle Scholar
  6. 6.
    Chen CM, Ibekwe-SanJuan F, Hou JH (2010) The structure and dynamics of cocitation clusters: a multiple-perspective cocitation analysis. J Am Soc Inform Sci Technol 61(7):1386–1409CrossRefGoogle Scholar
  7. 7.
    Chen C, Hu Z, Liu S, Tseng H (2012) Emerging trends in regenerative medicine: a scientometric analysis in CiteSpace. Expert Opin Biol Ther 12:593–608CrossRefGoogle Scholar
  8. 8.
    Jahangirian M, Eldabi T, Garg L, Jun GT, Naseer A, Patel B, Stergioulas L, Young T (2011) A rapid review method for extremely large corpora of literature: applications to the domains of modelling, simulation, and management. Int J Inf Manage 31(3):234–243CrossRefGoogle Scholar
  9. 9.
    Jones CA, Ritchie JT, Kiniry Godwin, D.C (1986) Subroutine structure. In: Jones CA, Kiniry JR (eds) CERES-Maize: a simulation model of maize growth and development. Texas A&M University Press, TXGoogle Scholar
  10. 10.
    Jones CA, Dyke PT, Williams JR, Kiniry JR, Benson VW, Griggs RH (1991) EPIC: an operational model for evaluation of agricultural sustainability. Agric Syst 37:341–350CrossRefGoogle Scholar
  11. 11.
    Jones JW, Hoogenboom G, Porter CH, Boote KJ, Batchelor WD, Hunt LA, Wilkens PW, Singh U, Gijsman AJ, Ritchie JT (2003) The DSSAT cropping system model. Eur J Agron 18(3–4):235–265CrossRefGoogle Scholar
  12. 12.
    Keating BA, Carberry PS, Hammer GL, Probert ME, Robertson MJ, Holzworth D, Huth NI, Hargreaves JNG, Meinke H, Hochman Z, McLean G, Verburg K, Snow V, Dimes JP, Silburn M, Wang E, Brown S, Bristow KL, Asseng S, Chapman S, McCown RL, Freebairn DM, Smith CJ (2003) An overview of APSIM, a model designed for farming systems simulation. Eur J Agron 18:267–288Google Scholar
  13. 13.
    Liu ZY, Chen Y, Hong HY (2008) Mapping knowledge domain: methods and application. People Publishing House, Beijing (In Chinese)Google Scholar
  14. 14.
    Monteith JL (1977) Climate and the efficiency of crop production in Britain. Philos Trans R Soc B 281:277–294CrossRefGoogle Scholar
  15. 15.
    Niazi M, Hussain A (2011) Agent-based computing from multi-agent systems to agent-based models: a visual survey. Scientometrics 89(2):479–499CrossRefGoogle Scholar
  16. 16.
    Persson, OD, Danell R, Wiborg Schneider J (2009) How to use Bibexcel for various types of bibliometric analysis. In: Åström FR, Larsen DB, Schneider J (eds) Celebrating scholarly communication studies: a Festschrift for Persson at his 60th Birthday. International Society for Scientometrics and Informetrics, Leuven, pp 9–24Google Scholar
  17. 17.
    Ritchie JT (1972) Model for predicting evaporation from a row crop with incomplete cover. Water Recour Res 8(5):1204–1213CrossRefGoogle Scholar
  18. 18.
    Stöckle CO, Donatelli M, Nelson R (2003) CropSyst, a cropping systems simulation model. Eur J Agron 18:289–307CrossRefGoogle Scholar
  19. 19.
    van Eck NJ, Waltman L (2010) Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics 84(2):523–538CrossRefGoogle Scholar
  20. 20.
    Williams JR (1995) The EPIC model. In: Singh VP (ed) Computer models of watershed hydrology. Water Resources Publications, Highlands Ranch, pp 909–1000Google Scholar
  21. 21.
    Zhao R, Wang J (2011) Visualizing the research on pervasive and ubiquitous computing. Scientometrics 86(3):593–612CrossRefGoogle Scholar
  22. 22.
    Zhao LM, Zhang QP (2011) Mapping knowledge domains of Chinese digital library research output, 1994–2010. Scientometrics 89(1):51–87Google Scholar
  23. 23.
    Zhou Jinxia (2011) Documents visibilization analysis of information visibilization based on the Citespace II. Inf Sci 29(1):98–112 (In Chinese)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Hailong Liu
    • 1
  • Yeping Zhu
    • 1
  • Yanzhi Guo
    • 2
  • Shijuan Li
    • 1
  • Jingyi Yang
    • 3
  1. 1.Agricultural Information Institute, Chinese Academy of Agricultural Sciences/Key Laboratory of Agri-information Service Technology, Ministry of AgricultureBeijingChina
  2. 2.Institute of Food and Nutrition Development, Ministry of AgricultureBeijingChina
  3. 3.Greenhouse and Processing Crops Research Centre, Agriculture & Agri-Food CanadaHarrowCanada

Personalised recommendations