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Bibliometric Analysis of International Cooperation in Biomass Energy Research


Affiliations
1 School of Information Engineering, Nanjing Audit University, Nanjing, Jiangsu 211815, China
2 School of Business, Nanjing Audit University, Nanjing, Jiangsu 211815, China
 

It is well known that biomass energy has excellent environmental and economic benefits. The increasing international cooperation in the field of biomass energy has promoted the rapid coordinated development of global biomass energy research and industry. This article analyses academic papers in this field collected by SSCI or SCI from 2007 to 2016, uses bibliometrics for quantitative statistics and data mining, and VOSviewer software to generate international cooperation network maps. It also provides in-depth analysis and comprehensive comparison of changes in international cooperation in biomass energy research in major countries around the world, and reveals the context and direction of development in the global biomass energy field. The results of this study can provide scientific basis and support for the development of other related research work.

Keywords

Biomass Energy, Bibliometrics, Data Mining, International Collaboration.
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  • Herbert, G. J. and Krishnan, A. U., Quantifying environmental performance of biomass energy. Renew. Sust. Energ. Rev., 2016, 59, 292–308.

  • Yu, D. J. and Xu, C., Mapping research on carbon emissions trading: a co-citation analysis. Renew. Sust. Energ. Rev., 2017, 74, 1314–1322.

  • Elango, B. and Ho, Y. S., A bibliometric analysis of highly cited papers from India in Science Citation Index Expanded. Curr. Sci., 2017, 112(8), 1653–1658.

  • Merigó, J. M. and Yang, J. B., A bibliometric analysis of operations research and management science. Omega, 2017, 73, 37–48.

  • Yu, D. J., Xu, Z. S. and Wang, W. R., Bibliometric analysis of fuzzy theory research in China: A 30-year perspective. Knowl.Based Syst., 2018, 141, 188–199.

  • Yu, D. J., Xu, Z. S. and Fujita, H., Bibliometric analysis on the evolution of applied intelligence. Appl. Intell., 2019, 49(2), 449– 462.

  • Laengle, S. et al., Forty years of the European Journal of Operational Research: a bibliometric overview. Eur. J. Oper. Res., 2017, 262(3), 803–816.

  • Yu, D. J., Wang, W. R., Zhang, S., Zhang, W. Y. and Liu, R. Y., A multiple-link, mutually reinforced journal-ranking model to measure the prestige of journals. Scientometrics, 2017, 111(1), 521–542.

  • Wang, P., Zhu, F., Song, H. and Hou, J., A bibliometric profile of Current Science between 1961 and 2015. Curr. Sci., 2017, 113(3), 386–392.

  • Takahashi, R. and Kajikawa, Y., Computer-aided diagnosis: a survey with bibliometric analysis. Int. J. Med. Informat., 2017, 101, 58–67.

  • Zhang, S., Mao, G., Crittenden, J., Liu, X. and Du, H., Groundwater remediation from the past to the future: a bibliometric analysis. Water Res., 2017, 119, 114–125.

  • Oraee, M., Hosseini, M. R., Papadonikolaki, E., Palliyaguru, R. and Arashpour, M., Collaboration in BIM-based construction networks: a bibliometric-qualitative literature review. Int. J. Project Manage., 2017, 35(7), 1288–1301.

  • Sarin, S., Haon, C. and Belkhouja, M., A bibliometric analysis of the knowledge exchange patterns between major technology and innovation management journals (1999–2013). J. Prod. Innov. Manage., 2018, 35(1), 2–8.

  • Yu, D. J., Xu, Z. S. and Wang, X. Z., Bibliometric analysis of support vector machines research trend: a case study in China. Int. J. Machine Learn. Cyber., 2019, in press, doi:10.1007/s13042-019-01028-y.

  • Glänzel, W., Schubert, A. and Czerwon, H. J., A bibliometric analysis of international scientific cooperation of the European Union (1985–1995). Scientometrics, 1999, 45(2), 185–202.

  • Duan, L., Analysis of the relationship between international cooperation and scientific publications in energy R&D in China. Appl. Energ., 2011, 88(12), 4229–4238.

  • Li, W. and Zhao, Y., Bibliometric analysis of global environmental assessment research in a 20-year period. Environ. Impact Assess. Rev., 2015, 50, 158–166.

  • Merigó, J. M., Cancino, C. A., Coronado, F. and Urbano, D., Academic research in innovation: a country analysis. Scientometrics, 2016, 108(2), 559–593.

  • De Paulo, A. F. and Porto, G. S., Solar energy technologies and open innovation: a study based on bibliometric and social network analysis. Energ. Policy, 2017, 108, 228–238.

  • He, X. R., Wu, Y. Y., Yu, D. J. and Merigó, J. M., Exploring the ordered weighted averaging operator knowledge domain: a bibliometric analysis. Int. J. Intell. Syst., 2017, 32(11), 1151–1166.

  • Yu, D. J., Xu, Z. S, Pedrycz, W. and Wang, W., Information Sciences 1968–2016: a retrospective analysis with text mining and bibliometric. Inform. Sci., 2017, 418, 619–634.

  • Yu, D. J. and Meng, S., An overview of biomass energy research with bibliometric indicators. Energ. Environ., 2018, 29(4), 576– 590.

  • Weingart, P., Impact of bibliometrics upon the science system: inadvertent consequences? Scientometrics, 2005, 62(1), 117–131.

  • Fu, H. Z., Chuang, K. Y., Wang, M. H. and Ho, Y. S., Characteristics of research in China assessed with Essential Science Indicators. Scientometrics, 2011, 88(3), 841–862.

  • Cova, T. F., Pais, A. A. and Formosinho, S. J., Iberian universities: a characterisation from ESI rankings. Scientometrics, 2013, 94(3), 1239–1251.

  • Merigó, J. M., Pedrycz, W., Weber, R. and de la Sotta, C., Fifty years of Information Sciences: a bibliometric overview. Inform. Sci., 2018, 432, 245–268.

  • Yu, D. J., Xu, Z. S. and Šaparauskas, J., The evolution of Technological and Economic Development of Economy: a bibliometric analysis. Technol. Econ. Dev. Econ., 2019, 25(3), 369–385.

  • Van Eck, N. J. and Waltman, L., Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 2010, 84(2), 523–538.

  • Van Eck, N. J. and Waltman, L., Citation-based clustering of publications using CitNetExplorer and VOSviewer. Scientometrics, 2017, 111(2), 1053–1070.

  • Wong, D., VOSviewer. Tech. Serv. Q., 2018, 35(2), 219–220.

  • Cheng, Y., Johansen, J. and Hu, H., Exploring the interaction between R&D and production in their globalisation. Int. J. Oper. Prod. Manage., 2015, 35(5), 782–816.


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  • Bibliometric Analysis of International Cooperation in Biomass Energy Research

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Authors

Xiaorong He
School of Information Engineering, Nanjing Audit University, Nanjing, Jiangsu 211815, China
Dejian Yu
School of Business, Nanjing Audit University, Nanjing, Jiangsu 211815, China

Abstract


It is well known that biomass energy has excellent environmental and economic benefits. The increasing international cooperation in the field of biomass energy has promoted the rapid coordinated development of global biomass energy research and industry. This article analyses academic papers in this field collected by SSCI or SCI from 2007 to 2016, uses bibliometrics for quantitative statistics and data mining, and VOSviewer software to generate international cooperation network maps. It also provides in-depth analysis and comprehensive comparison of changes in international cooperation in biomass energy research in major countries around the world, and reveals the context and direction of development in the global biomass energy field. The results of this study can provide scientific basis and support for the development of other related research work.

Keywords


Biomass Energy, Bibliometrics, Data Mining, International Collaboration.

References





DOI: https://doi.org/10.18520/cs%2Fv117%2Fi11%2F1785-1792