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An overview of biomass energy research with bibliometric indicators

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  • Dejian Yu
  • Sun Meng

Abstract

Biomass energy has the characteristics of renewable and decentralized and plays a certain role in mitigating climate change. Now it is considered to be a very important renewable energy and has great potential for development. Based on Science Citation Index Expanded and Social Sciences Citation Index databases, this paper retrieved the publication data through topic search using the keywords biomass energy and related words during 2007–2016. This paper investigates the development characteristics in biomass energy research based on bibliometrics methods and data mining techniques. The main purpose of this paper is to explore the knowledge structure and citation landscape in this field. The general development trends, Essential Science Indicators publications characteristics, and leading journals in this area are discussed. The main advantage of this analysis is based on massive data which can, to some extent, reveal the macrostate of the development of the field.

Suggested Citation

  • Dejian Yu & Sun Meng, 2018. "An overview of biomass energy research with bibliometric indicators," Energy & Environment, , vol. 29(4), pages 576-590, June.
  • Handle: RePEc:sae:engenv:v:29:y:2018:i:4:p:576-590
    DOI: 10.1177/0958305X18756304
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    1. Zhang, Wei & Yang, Shuyun, 2013. "The influence of energy consumption of China on its real GDP from aggregated and disaggregated viewpoints," Energy Policy, Elsevier, vol. 57(C), pages 76-81.
    2. He, Yongxiu & Xu, Yang & Pang, Yuexia & Tian, Huiying & Wu, Rui, 2016. "A regulatory policy to promote renewable energy consumption in China: Review and future evolutionary path," Renewable Energy, Elsevier, vol. 89(C), pages 695-705.
    3. Lovro Šubelj & Dalibor Fiala, 2017. "Publication boost in web of science journals and its effect on citation distributions," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(4), pages 1018-1023, April.
    4. Anne-Wil Harzing, 2015. "Health warning: might contain multiple personalities—the problem of homonyms in Thomson Reuters Essential Science Indicators," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2259-2270, December.
    5. Susanne Mikki, 2010. "Comparing Google Scholar and ISI Web of Science for Earth Sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 321-331, February.
    6. Bilgen, S., 2014. "Structure and environmental impact of global energy consumption," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 890-902.
    7. Kun-Yang Chuang & Ming-Huang Wang & Yuh-Shan Ho, 2011. "High-impact papers presented in the subject category of water resources in the essential science indicators database of the institute for scientific information," Scientometrics, Springer;Akadémiai Kiadó, vol. 87(3), pages 551-562, June.
    8. Dong, Tao & Knoshaug, Eric P. & Pienkos, Philip T. & Laurens, Lieve M.L., 2016. "Lipid recovery from wet oleaginous microbial biomass for biofuel production: A critical review," Applied Energy, Elsevier, vol. 177(C), pages 879-895.
    9. Claudio A. Bonilla & José M. Merigó & Carolina Torres-Abad, 2015. "Economics in Latin America: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(2), pages 1239-1252, November.
    10. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    11. Tokimatsu, Koji & Yasuoka, Rieko & Nishio, Masahiro, 2017. "Global zero emissions scenarios: The role of biomass energy with carbon capture and storage by forested land use," Applied Energy, Elsevier, vol. 185(P2), pages 1899-1906.
    12. Yu, Hao & Wei, Yi-Ming & Tang, Bao-Jun & Mi, Zhifu & Pan, Su-Yan, 2016. "Assessment on the research trend of low-carbon energy technology investment: A bibliometric analysis," Applied Energy, Elsevier, vol. 184(C), pages 960-970.
    13. Dejian Yu & Wanru Wang & Shuai Zhang & Wenyu Zhang & Rongyu Liu, 2017. "Hybrid self-optimized clustering model based on citation links and textual features to detect research topics," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-21, October.
    14. Laengle, Sigifredo & Merigó, José M. & Miranda, Jaime & Słowiński, Roman & Bomze, Immanuel & Borgonovo, Emanuele & Dyson, Robert G. & Oliveira, José Fernando & Teunter, Ruud, 2017. "Forty years of the European Journal of Operational Research: A bibliometric overview," European Journal of Operational Research, Elsevier, vol. 262(3), pages 803-816.
    15. Lokman I. Meho & Kiduk Yang, 2007. "Impact of data sources on citation counts and rankings of LIS faculty: Web of science versus scopus and google scholar," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(13), pages 2105-2125, November.
    16. Dogan, Eyup & Inglesi-Lotz, Roula, 2017. "Analyzing the effects of real income and biomass energy consumption on carbon dioxide (CO2) emissions: Empirical evidence from the panel of biomass-consuming countries," Energy, Elsevier, vol. 138(C), pages 721-727.
    17. Dejian Yu, 2015. "A scientometrics review on aggregation operator research," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 115-133, October.
    18. Merigó, José M. & Yang, Jian-Bo, 2017. "A bibliometric analysis of operations research and management science," Omega, Elsevier, vol. 73(C), pages 37-48.
    19. Lo, Kevin, 2014. "A critical review of China's rapidly developing renewable energy and energy efficiency policies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 508-516.
    20. José M. Merigó & Christian A. Cancino & Freddy Coronado & David Urbano, 2016. "Academic research in innovation: a country analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 559-593, August.
    21. Bildirici, Melike E. & Gökmenoğlu, Seyit M., 2017. "Environmental pollution, hydropower energy consumption and economic growth: Evidence from G7 countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 68-85.
    22. Nizami, A.S. & Shahzad, K. & Rehan, M. & Ouda, O.K.M. & Khan, M.Z. & Ismail, I.M.I. & Almeelbi, T. & Basahi, J.M. & Demirbas, A., 2017. "Developing waste biorefinery in Makkah: A way forward to convert urban waste into renewable energy," Applied Energy, Elsevier, vol. 186(P2), pages 189-196.
    23. Stigka, Eleni K. & Paravantis, John A. & Mihalakakou, Giouli K., 2014. "Social acceptance of renewable energy sources: A review of contingent valuation applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 100-106.
    24. Yu, Dejian & Xu, Chao, 2017. "Mapping research on carbon emissions trading: a co-citation analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 74(C), pages 1314-1322.
    25. Janaína Gomes & Homero Dewes, 2017. "Disciplinary dimensions and social relevance in the scientific communications on biofuels," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1173-1189, March.
    26. Jie Zhu & Weijian Hua, 2017. "Visualizing the knowledge domain of sustainable development research between 1987 and 2015: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 893-914, February.
    27. Mao, Guozhu & Zou, Hongyang & Chen, Guanyi & Du, Huibin & Zuo, Jian, 2015. "Past, current and future of biomass energy research: A bibliometric analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1823-1833.
    28. 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.
    29. Edit Csajbók & Anna Berhidi & Lívia Vasas & András Schubert, 2007. "Hirsch-index for countries based on Essential Science Indicators data," Scientometrics, Springer;Akadémiai Kiadó, vol. 73(1), pages 91-117, October.
    30. Lutz Bornmann & Hans-Dieter Daniel, 2005. "Does the h-index for ranking of scientists really work?," Scientometrics, Springer;Akadémiai Kiadó, vol. 65(3), pages 391-392, December.
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    Cited by:

    1. Corina MARINESCU & Claudiu CICEA & Sofia Elena COLESCA, 2019. "Tracking Biofuels-Innovation Relationship Through Scientific And Technological Advances," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 11(2), pages 31-44, June.

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