다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기
Journal of data and information science, v.3 no.1, 2018년, pp.82 - 100
Zou, Lixue (National Science Library, Chinese Academy of Sciences, Beijing, 100190, China) , Wang, Li (Chemical Abstracts Service, 2540 Olentangy River RoadColumbus, OH 43202, USA) , Wu, Yingqi (Chemical Abstracts Service, 2540 Olentangy River RoadColumbus, OH 43202, USA) , Ma, Caroline (Chemical Abstracts Service, 2540 Olentangy River RoadColumbus, OH 43202, USA) , Yu, Sunny (National Science Library, Chinese Academy of Sciences, Beijing, 100190, China) , Liu, Xiwen
AbstractPurposeThis study aims to reveal the landscape and trends of graphene research in the world by using data from Chemical Abstracts Service (CAS).Design/methodology/approachIndex data from CAS have been retrieved on 78,756 papers and 23,057 patents on graphene from 1985 to March 2016, and scientometric methods were used to analyze the growth and distribution of R&D output, topic distribution and evolution, and distribution and evolution of substance properties and roles.FindingsIn recent years R&D in graphene keeps in rapid growth, while China, South Korea and United States are the largest producers in research but China is relatively weak in patent applications in other countries. Research topics in graphene are continuously expanding from mechanical, material, and electrical properties to a diverse range of application areas such as batteries, capacitors, semiconductors, and sensors devices. The roles of emerging substances are increasing in Preparation and Biological Study. More techniques have been included to improve the preparation processes and applications of graphene in various fields.Research limitationsOnly data from CAS is used and some R&D activities solely reported through other channels may be missed. Also more detailed analysis need to be done to reveal the impact of research on development or vice verse, development dynamics among the players, and impact of emerging terms or substance roles on research and technology development.Practical implicationsThis will provide a valuable reference for scientists and developers, R&D managers, R&D policy makers, industrial and business investers to understand the landscape and trends of graphene research. Its methodologies can be applied to other fields or with data from other similar sources.Originality/valueThe integrative use of indexing data on papers and patents of CAS and the systematic exploration of the distribution trends in output, topics, substance roles are distinctive and insightful.
Chemical Abstracts Service. Retrieved from http://www.cas.org/.
10.1002/asi.21075 Eck, N.J.V., & Waltman, L. (2009). How to normalize cooccurrence data? An analysis of some well-known similarity measures. Journal of the American society for information science and technology, 60(8), 1635-1651.10.1002/asi.21075
10.1007/s11192-009-0146-3 Eck, N.J.V. & Waltman, L. (2010). Software survey: VO Sviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538.10.1007/s11192-009-0146-3
Eck, N.J.V. & Waltman, L. (2011). Text mining and visualization using VOSviewer. ISSI Newsletter, 7(3), 50-54.
10.1007/s11192-012-0617-9 Etxebarria, G., Gomez-Uranga, M., & Barrutia, J. (2012). Tendencies in scientific output on carbon nanotubes and graphene in global centers of excellence for nanotechnology. Scientometrics, 91(1), 253-268.10.1007/s11192-012-0617-9
10.1007/s11192-015-1780-6 Klincewicz, K. (2016). The emergen t dynamics of a technological research topic: The case of graphene. Scientometrics, 106(1), 319-345.10.1007/s11192-015-1780-6
Le, S.S. & Polytechnic, N. (2017). Technological innovation trend of graphene technology: A research based on the patentometric analysis. World nonferrous metals, 2017(9), 94-95.
10.1007/s11192-015-1591-9 Li, M. (2015). A novel three-dimension perspective to explore technology evolution. Scientometrics, 105(3) 1679-1697.10.1007/s11192-015-1591-9
10.1007/s11192-011-0386-x Lv, P.H., Wang, G.F., Wan, Y., Liu, J., Liu, Q., & Ma, F.C. (2011). Bibliometric trend analysis on global graphene research. Scientometrics, 88(2), 399-419.10.1007/s11192-011-0386-x
10.1126/science.1102896 Novoselovl, K. S., Geim, A.K., . . ., & Firsov, A.A. (2004). Electric Field Effect in Atomically Thin Carbon Films. Science, 306(5696), 666-669.10.1126/science.110289615499015
Peng, Y.Q. (2016). Citation analysis and comparative study on patents and papers of graphene. Nanjing. (Nanjing University. M.S. dissertation)
10.1016/j.joi.2016.10.006 Perianes-Rodriguez, A., Waltman, L., & Eck, N.J.V. (2016). Constructin g bibliometric networks: A comparison between full and fractional counting. Journal of Informetrics, 10(4), 1178-1195.10.1016/j.joi.2016.10.006
Zhao Z.X. & Chen H. (2016). Development of graphane technology in China: Present and future- based on patent statistics. China Textile Leader, 2016(9), 40-43.
Zheng J. (2016). Comparative analysis of research paper and high level research paper of graphene field. Advanced materials industry, 2016(10), 48-51.
해당 논문의 주제분야에서 활용도가 높은 상위 5개 콘텐츠를 보여줍니다.
더보기 버튼을 클릭하시면 더 많은 관련자료를 살펴볼 수 있습니다.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
오픈액세스 학술지에 출판된 논문
Copyright KISTI. All Rights Reserved.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.