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The design and application value of the Chinese Social Science Citation Index

Author

Listed:
  • Xinning Su

    (Nanjing University)

  • Sanhong Deng

    (Nanjing University)

  • Si Shen

    (Nanjing University)

Abstract

From the application point of view, this article introduces the framework of the Chinese Social Science Citation Index (CSSCI). It expounds the idea of designing the CSSCI system, and its major functions and features in particular. The data organization as well as data encoding methods of the CSSCI system is well explained. Moreover, this article elaborates on how the citation index data can be used in analyzing discipline features, exploring research hotspots and developing trends, identifying important academic works and constructing academic network. Such efforts are supposed to help the readers better understand the application value of citation index system. It also provides the academic circle with a new understanding of citation index system.

Suggested Citation

  • Xinning Su & Sanhong Deng & Si Shen, 2014. "The design and application value of the Chinese Social Science Citation Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1567-1582, March.
    • Handle: RePEc:spr:scient:v:98:y:2014:i:3:d:10.1007_s11192-012-0921-4
    DOI: 10.1007/s11192-012-0921-4
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    References listed on IDEAS

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    1. Masamitsu Negishi & Yuan Sun & Kunihiro Shigi, 2004. "Citation Database for Japanese Papers: A new bibliometric tool for Japanese academic society," Scientometrics, Springer;Akadémiai Kiadó, vol. 60(3), pages 333-351, August.
    2. Éric Archambault & Étienne Vignola-Gagné & Grégoire Côté & Vincent Larivière & Yves Gingrasb, 2006. "Benchmarking scientific output in the social sciences and humanities: The limits of existing databases," Scientometrics, Springer;Akadémiai Kiadó, vol. 68(3), pages 329-342, September.
    3. Henk F. Moed, 2002. "Measuring China"s research performance using the Science Citation Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(3), pages 281-296, March.
    4. M. M. Kessler, 1963. "Bibliographic coupling between scientific papers," American Documentation, Wiley Blackwell, vol. 14(1), pages 10-25, January.
    5. Vincent Larivière & Benoit Macaluso, 2011. "Improving the coverage of social science and humanities researchers' output: The case of the Érudit journal platform," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 62(12), pages 2437-2442, December.
    6. Maria Bordons & M. T. Fernández & Isabel Gómez, 2002. "Advantages and limitations in the use of impact factor measures for the assessment of research performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 53(2), pages 195-206, February.
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    4. Xin Li & Qiang Yao & Xuli Tang & Qian Li & Mengjia Wu, 2020. "How to investigate the historical roots and evolution of research fields in China? A case study on iMetrics using RootCite," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1253-1274, November.
    5. Guo Chen & Lu Xiao & Chang-ping Hu & Xue-qin Zhao, 2015. "Identifying the research focus of Library and Information Science institutions in China with institution-specific keywords," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 707-724, May.
    6. Zhang, Baolong & Wang, Hao & Deng, Sanhong & Su, Xinning, 2020. "Measurement and analysis of Chinese journal discriminative capacity," Journal of Informetrics, Elsevier, vol. 14(1).
    7. Olga Moskaleva & Vladimir Pislyakov & Ivan Sterligov & Mark Akoev & Svetlana Shabanova, 2018. "Russian Index of Science Citation: Overview and review," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 449-462, July.
    8. Zhou, Qingqing & Zhang, Chengzhi, 2021. "Impacts towards a comprehensive assessment of the book impact by integrating multiple evaluation sources," Journal of Informetrics, Elsevier, vol. 15(3).
    9. Chen, Guo & Xiao, Lu, 2016. "Selecting publication keywords for domain analysis in bibliometrics: A comparison of three methods," Journal of Informetrics, Elsevier, vol. 10(1), pages 212-223.
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    11. Liang, Wenyan & Gu, Jun & Nyland, Chris, 2022. "China's new research evaluation policy: Evidence from economics faculty of Elite Chinese universities," Research Policy, Elsevier, vol. 51(1).
    12. A. V. Chumachenko & B. G. Kreminskyi & Iu. L. Mosenkis & A. I. Yakimenko, 2020. "Dynamics of topic formation and quantitative analysis of hot trends in physical science," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 739-753, October.
    13. Kaile Gong, 2023. "The influence of discipline consistency between papers and published journals on citations: an analysis of Chinese papers in three social science disciplines," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 3129-3146, May.
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