IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v98y2014i2d10.1007_s11192-013-1072-y.html
   My bibliography  Save this article

An investigation of collaborations between top Chinese universities: a new quantitative approach

Author

Listed:
  • Weichao Wang

    (Peking University)

  • Yishan Wu

    (Institute of Scientific and Technical Information of China)

  • Yuntao Pan

    (Institute of Scientific and Technical Information of China)

Abstract

A new quantitative method is introduced to analyze the collaboration among different organizations. The method defines the collaboration score based on the number of people involved in collaboration, and then the collaboration strength is obtained by summing up the collaboration scores with this method. We choose “Project 985” universities, which represent the top universities in China, as an example to study the collaboration network, strength in leading collaboration and strength in participating collaboration. Results based on Scopus show some characteristics of such collaboration and verify the feasibility of the new approach.

Suggested Citation

  • Weichao Wang & Yishan Wu & Yuntao Pan, 2014. "An investigation of collaborations between top Chinese universities: a new quantitative approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(2), pages 1535-1545, February.
    • Handle: RePEc:spr:scient:v:98:y:2014:i:2:d:10.1007_s11192-013-1072-y
    DOI: 10.1007/s11192-013-1072-y
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-013-1072-y
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-013-1072-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jonathan Adams, 2012. "The rise of research networks," Nature, Nature, vol. 490(7420), pages 335-336, October.
    2. Bo Jarneving, 2010. "Regional research and foreign collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 83(1), pages 295-320, April.
    3. Xiaojun Hu, 2009. "Loads of special authorship functions: Linear growth in the percentage of “equal first authors” and corresponding authors," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(11), pages 2378-2381, November.
    4. Hui-Zhen Fu & Kun-Yang Chuang & Ming-Huang Wang & Yuh-Shan Ho, 2011. "Characteristics of research in China assessed with Essential Science Indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(3), pages 841-862, September.
    5. Zhang, Han & Patton, Donald & Kenney, Martin, 2013. "Building global-class universities: Assessing the impact of the 985 Project," Research Policy, Elsevier, vol. 42(3), pages 765-775.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fei Shu & Wen Lou & Stefanie Haustein, 2018. "Can Twitter increase the visibility of Chinese publications?," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 505-519, July.
    2. Chaocheng He & Jiang Wu & Qingpeng Zhang, 2021. "Characterizing research leadership on geographically weighted collaboration network," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4005-4037, May.
    3. Chaocheng He & Jiang Wu & Qingpeng Zhang, 2020. "Research leadership flow determinants and the role of proximity in research collaborations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 71(11), pages 1341-1356, November.
    4. Chaocheng He & Jiang Wu & Qingpeng Zhang, 2022. "Proximity‐aware research leadership recommendation in research collaboration via deep neural networks," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(1), pages 70-89, January.
    5. He, Chaocheng & Liu, Fuzhen & Dong, Ke & Wu, Jiang & Zhang, Qingpeng, 2023. "Research on the formation mechanism of research leadership relations: An exponential random graph model analysis approach," Journal of Informetrics, Elsevier, vol. 17(2).
    6. Lipeng Fan & Yuefen Wang & Shengchun Ding & Binbin Qi, 2020. "Productivity trends and citation impact of different institutional collaboration patterns at the research units’ level," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1179-1196, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Feng & Miao, Yajun & Yang, Chenchen, 2015. "How do alumni faculty behave in research collaboration? An analysis of Chang Jiang Scholars in China," Research Policy, Elsevier, vol. 44(2), pages 438-450.
    2. 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.
    3. Yang Haodong & Liu Jialin & Wang Gaofeng, 2025. "Knowledge Innovation Effect of University Computing Power in China: Evidence from the top500 Supercomputers," Research in Higher Education, Springer;Association for Institutional Research, vol. 66(1), pages 1-30, February.
    4. Arie Y Lewin & Silvia Massini & Carine Peeters, 2020. "Absorptive capacity, socially enabling mechanisms, and the role of learning from trial and error experiments: A tribute to Dan Levinthal’s contribution to international business research," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 51(9), pages 1568-1579, December.
    5. Zuo, Zhiya & Zhao, Kang, 2018. "The more multidisciplinary the better? – The prevalence and interdisciplinarity of research collaborations in multidisciplinary institutions," Journal of Informetrics, Elsevier, vol. 12(3), pages 736-756.
    6. Svein Kyvik & Ingvild Reymert, 2017. "Research collaboration in groups and networks: differences across academic fields," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 951-967, November.
    7. Jeffrey Demaine, 2022. "Fractionalization of research impact reveals global trends in university collaboration," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(5), pages 2235-2247, May.
    8. Rodrigo Costas & María Bordons, 2011. "Do age and professional rank influence the order of authorship in scientific publications? Some evidence from a micro-level perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 88(1), pages 145-161, July.
    9. Ángel Acevedo-Duque & Alejandro Vega-Muñoz & Guido Salazar-Sepúlveda, 2020. "Analysis of Hospitality, Leisure, and Tourism Studies in Chile," Sustainability, MDPI, vol. 12(18), pages 1-20, September.
    10. Chen, Guanghua & Yang, Guoliang & He, Feng & Chen, Kaihua, 2019. "Exploring the effect of political borders on university-industry collaborative research performance: Evidence from China’s Guangdong province," Technovation, Elsevier, vol. 82, pages 58-69.
    11. Губа К. С. & Соколов М. М. & Цивинская А. О., 2020. "Фиктивная Эффективность: Что На Самом Деле Оценивал Мониторинг Эффективности Образовательных Организаций," Вопросы образования // Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 97-125.
    12. Yi Zhang & Kaihua Chen & Guilong Zhu & Richard C. M. Yam & Jiancheng Guan, 2016. "Inter-organizational scientific collaborations and policy effects: an ego-network evolutionary perspective of the Chinese Academy of Sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(3), pages 1383-1415, September.
    13. Yan Sheng & Zhang Huiting & Zhang Qiang & Li Chenhui, 2024. "A corpus-based bibliometric study of highly cited papers in sport sciences," SAGE Open, , vol. 14(1), pages 21582440231, January.
    14. Kim, Jinseok & Kim, Jinmo, 2015. "Rethinking the comparison of coauthorship credit allocation schemes," Journal of Informetrics, Elsevier, vol. 9(3), pages 667-673.
    15. Dejian Yu & Sun Meng, 2018. "An overview of biomass energy research with bibliometric indicators," Energy & Environment, , vol. 29(4), pages 576-590, June.
    16. Zhai, Li & Yan, Xiangbin, 2022. "A directed collaboration network for exploring the order of scientific collaboration," Journal of Informetrics, Elsevier, vol. 16(4).
    17. Li, Menghui & Yang, Liying & Zhang, Huina & Shen, Zhesi & Wu, Chensheng & Wu, Jinshan, 2017. "Do mathematicians, economists and biomedical scientists trace large topics more strongly than physicists?," Journal of Informetrics, Elsevier, vol. 11(2), pages 598-607.
    18. Chaocheng He & Jiang Wu & Qingpeng Zhang, 2021. "Characterizing research leadership on geographically weighted collaboration network," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4005-4037, May.
    19. Nan Zhang & Shanshan Wan & Peiling Wang & Peng Zhang & Qiang Wu, 2018. "A bibliometric analysis of highly cited papers in the field of Economics and Business based on the Essential Science Indicators database," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1039-1053, August.
    20. A. Velez-Estevez & P. García-Sánchez & J. A. Moral-Munoz & M. J. Cobo, 2022. "Why do papers from international collaborations get more citations? A bibliometric analysis of Library and Information Science papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7517-7555, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:98:y:2014:i:2:d:10.1007_s11192-013-1072-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.