Study on Impact Factor of Sci-Tech Journal in China Using Genetic Programming

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@InProceedings{Zhao:2010:CiSE,

• author = "Yongxiang Zhao and Meifang Li",
• title = "Study on Impact Factor of Sci-Tech Journal in China Using Genetic Programming",
• booktitle = "International Conference on Computational Intelligence and Software Engineering (CiSE 2010)",
• year = "2010",
• month = dec,
• abstract = "In this paper, we establish nonlinear GP model between impact factor of sci-tech journal and related indexes based on genetic programming approach. The proposed GP model uses average authors, number of district, number of affiliation, international paper ratio and foundation paper ratio as the inputs, and uses impact factor as the output. The journals data from Chinese S and T Journal Citation Reports in 2005 are used as experimental data. The experimental results show that impact factor is mainly related to average authors and foundation paper ratio, and nearly has nothing to do with number of district, number of affiliation and international paper ratio. Therefore, increasing the average authors and foundation paper ratio of sci-tech journal will help to promote the impact factor of journal and improve the quality of journal to some extent.",
• keywords = "genetic algorithms, genetic programming, impact factor, nonlinear GP model, sci-tech journal, publishing",
• DOI = "doi:10.1109/CISE.2010.5677270",
• notes = "State Key Lab. of Adv. Technol. for Mater. Synthesis & Process., Wuhan Univ. of Technol., Wuhan, China. Also known as \cite{5677270}",

}

Genetic Programming entries for Yongxiang Zhao Meifang Li

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