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›› 2018, Vol. 30 ›› Issue (5): 84-87.doi: 10.13998/j.cnki.issn1002-1248.2018.05.016

• Work study • Previous Articles     Next Articles

Research on the Analysis and Prediction of University Discipline Influence Index

DAI Ying   

  1. Library, Hefei University of Technology, Anhui Hefei 230009, China
  • Received:2018-02-26 Online:2018-05-05 Published:2018-05-23

Abstract: Scientific evaluation and prediction of potential discipline is of great importance to promote its global ESI ranking and enhance academic influence. Based on the comparative analysis of MNCS and percentile indicators, this paper proposed the accurate analysis and prediction system of potential subject based on ESI and InCites databases, and empirically analyzed and validated the computer science discipline in Hefei University of Technology. The results showed that the combination of these two indicators can more accurately identify and predict the development potential of discipline, so as to provide important reference for the "First-class" discipline construction in the university.

CLC Number: 

  • G353.1
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