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Trend analysis of academic research and technical development pertaining to gas hydrates

Author

Listed:
  • Su Jin Seo

    (Sookmyung Women’s University)

  • Eun Jin Han

    (Yonsei University)

  • So Young Sohn

    (Yonsei University)

Abstract

Recently, many countries have shown considerable interest in gas hydrates as an alternative energy source and have conducted many studies for exploring, drilling, and producing gas hydrates. In this paper, we investigate international R&D trend in gas hydrates in order to provide research direction by applying text clustering to the published papers and patent documents. In particular, our study examines research in the United States, where the most active research has been undertaken; Japan, a country that leads in technological development; and China, which has enormous resources of gas hydrates. This study delineates these countries’ expertise and changing R&D trends in gas hydrates. Our findings can provide insights for academic research and technical development regarding gas hydrates.

Suggested Citation

  • Su Jin Seo & Eun Jin Han & So Young Sohn, 2015. "Trend analysis of academic research and technical development pertaining to gas hydrates," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 905-920, November.
  • Handle: RePEc:spr:scient:v:105:y:2015:i:2:d:10.1007_s11192-015-1709-0
    DOI: 10.1007/s11192-015-1709-0
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    References listed on IDEAS

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    1. Song, Yongchen & Yang, Lei & Zhao, Jiafei & Liu, Weiguo & Yang, Mingjun & Li, Yanghui & Liu, Yu & Li, Qingping, 2014. "The status of natural gas hydrate research in China: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 778-791.
    2. Tsatskin, Alexander & Balaban, Oded, 2008. "Peak oil in the light of oil formation theories," Energy Policy, Elsevier, vol. 36(6), pages 1826-1828, June.
    3. Pao-Long Chang & Chao-Chan Wu & Hoang-Jyh Leu, 2010. "Using patent analyses to monitor the technological trends in an emerging field of technology: a case of carbon nanotube field emission display," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(1), pages 5-19, January.
    4. Cao, Wensheng & Bluth, Christoph, 2013. "Challenges and countermeasures of China’s energy security," Energy Policy, Elsevier, vol. 53(C), pages 381-388.
    5. Dar-Zen Chen & Han-Wen Chang & Mu-Hsuan Huang & Feng-Cheng Fu, 2005. "Core technologies and key industries in Taiwan from 1978 to 2002: A perspective from patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 64(1), pages 31-53, July.
    6. Tom Magerman & Bart Looy & Xiaoyan Song, 2010. "Exploring the feasibility and accuracy of Latent Semantic Analysis based text mining techniques to detect similarity between patent documents and scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 289-306, February.
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    Cited by:

    1. Bo Kyeong Lee & So Young Sohn, 2017. "Exploring the effect of dual use on the value of military technology patents based on the renewal decision," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1203-1227, September.

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