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Comparison and evaluation of domestic and international outputs in Information Science & Technology research of China

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  • Jiancheng Guan

    (School of Management, Beijing University of Aeronautics and Astronautics)

  • Ying He

    (School of Management, Beijing University of Aeronautics and Astronautics)

Abstract

Summary The purpose of this paper is to evaluate the basic research performance of key projects in the field of information science & technology funded by National Natural Science Foundation of China (NSFC) from both international and national perspectives during the period 1994-2001, based upon the Science Citation Index (SCI) and China Scientific and Technical Papers and Citations (CSTPC) databases. We compare the international and domestic outputs of the key projects by applying various scientometric indicators and techniques. The findings indicate that, as a whole, the research performances of the key projects have, to different degrees, increased in both international and domestic papers during the period of study. Semiconductor is the internationally most productive sub-discipline and Automatization is the domestically most productive sub-discipline, measured on average per project. The Combination Impact Factor (CIF), which integrates the CSTPC-IF and the SCI-IF into the evaluation process, is further proposed for the combined evaluation of domestic and international outputs of the key projects. In terms of ratio of CIF relative to the funds in each sub-discipline, results also show that Semiconductor is the most productive sub-discipline and Computer is the least productive one. Using correlation analysis a significant and positive relationship between the SCI-IF and the CIF has been found for the evaluated projects.

Suggested Citation

  • Jiancheng Guan & Ying He, 2005. "Comparison and evaluation of domestic and international outputs in Information Science & Technology research of China," Scientometrics, Springer;Akadémiai Kiadó, vol. 65(2), pages 215-244, November.
    • Handle: RePEc:spr:scient:v:65:y:2005:i:2:d:10.1007_s11192-005-0269-0
    DOI: 10.1007/s11192-005-0269-0
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    Cited by:

    1. Qinghua Zhai & Jing Su & Minghai Ye, 2014. "Focus on China: the current status of entrepreneurship research in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1985-2006, March.
    2. Yi Zhang & Mingting Kou & Kaihua Chen & Jiancheng Guan & Yuchen Li, 2016. "Modelling the Basic Research Competitiveness Index (BR-CI) with an application to the biomass energy field," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1221-1241, September.
    3. Jiancheng Guan & Xia Gao, 2008. "Comparison and evaluation of Chinese research performance in the field of bioinformatics," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(2), pages 357-379, May.
    4. Jiancheng Guan & Nan Ma, 2007. "A bibliometric study of China’s semiconductor literature compared with other major asian countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(1), pages 107-124, January.
    5. Jiang, Hanchen & Qiang, Maoshan & Fan, Qixiang & Zhang, Mengqing, 2018. "Scientific research driven by large-scale infrastructure projects: A case study of the Three Gorges Project in China," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 61-71.
    6. Anastassios Pouris, 2007. "Nanoscale research in South Africa: A mapping exercise based on scientometrics," Scientometrics, Springer;Akadémiai Kiadó, vol. 70(3), pages 541-553, March.
    7. S. Hennemann & T. Wang & I. Liefner, 2011. "Measuring regional science networks in China: a comparison of international and domestic bibliographic data sources," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(2), pages 535-554, August.
    8. Zhang, Ning & Choi, Yongrok & Wang, Wei, 2019. "Does energy research funding work? Evidence from the Natural Science Foundation of China using TEI@I method," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 369-380.
    9. Zhigang Hu & Fangqi Guo & Haiyan Hou, 2017. "Mapping research spotlights for different regions in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 779-790, February.
    10. Seema Sharma & V. J. Thomas, 2008. "Inter-country R&D efficiency analysis: An application of data envelopment analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(3), pages 483-501, September.

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