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Research Performance Evaluation in China: A Big Data Analysis

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  • Guangchao Charles Feng

Abstract

China’s scientific achievement has received considerable international attention due to a large amount of research and development (R&D) spending. This article aims to study the performance of China’s R&D expenditures (in the form of research funding) by examining the research performance of individual researchers based on bibliometric measures. This study concludes that research practice is not merely determined by capital possessed. Besides, international collaboration primarily accounts for research performance of scholars, whereas research funding and publishing in Chinese-based journals do not impact research performance significantly.

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  • Guangchao Charles Feng, 2020. "Research Performance Evaluation in China: A Big Data Analysis," SAGE Open, , vol. 10(1), pages 21582440199, January.
    • Handle: RePEc:sae:sagope:v:10:y:2020:i:1:p:2158244019901257
    DOI: 10.1177/2158244019901257
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    Cited by:

    1. Jinyang Dong & Jiamou Liu & Tiezhong Liu, 2021. "The impact of top scientists on the community development of basic research directed by government funding: evidence from program 973 in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(10), pages 8561-8579, October.
    2. Carolina Navarro-Lopez & Salvador Linares-Mustaros & Carles Mulet-Forteza, 2022. "“The Statistical Analysis of Compositional Data†by John Aitchison (1986): A Bibliometric Overview," SAGE Open, , vol. 12(2), pages 21582440221, April.

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