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Insights into the development of electrokinetic remediation technology: A bibliometric analysis

Author

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  • Fan Zheng

    (School of Resources and Environmental Science, Wuhan University, Wuhan, P.R. China)

  • Hua Zhu
  • Haobo Hou

Abstract

Electrokinetic remediation (EKR) is a powerful technique aimed at pollutant removal in soil, sludge, mine tailings, and so on. In the current work, we performed a bibliometric analysis of the research on EKR for the period of 1900-2018 on the basis of the core database of the Science Citation Index Expanded. In addition to a basic analysis of the research characteristics, keywords were analysed for four major participants: USA, China, Spain, and South Korea. The periods of 1990-2001, 2002-2008, and 2009-2018 were studied using the keyword analysis method to gain insights into the development of EKR and predict its future trends. The results revealed that the related research field in the USA was broad during the study periods. Meanwhile, China was interested in fluorine pollution and contamination in red soil. Spain paid close attention to pollution due to agricultural contamination. South Korea focused on radioactive element pollution. The number of papers published over a period of 28 years increased steadily and continued to rise after 2008. The combined techniques of EKR + phytoremediation and EKR + bioremediation were successively utilised by scholars over time, and the latter is expected to demonstrate vitality in the future.

Suggested Citation

  • Fan Zheng & Hua Zhu & Haobo Hou, 2021. "Insights into the development of electrokinetic remediation technology: A bibliometric analysis," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 16(4), pages 250-255.
  • Handle: RePEc:caa:jnlswr:v:16:y:2021:i:4:id:63-2020-swr
    DOI: 10.17221/63/2020-SWR
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    References listed on IDEAS

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    1. Yanwen Wang & Song Hong & Yifei Wang & Xi Gong & Chao He & Zhendong Lu & F. Benjamin Zhan, 2019. "What is the difference in global research on Central Asia before and after the collapse of the USSR: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 909-930, May.
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