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探索5G天线对健康影响的研究趋势:一项文献计量分析。

Exploring research trends in health effects of 5G antennas: a bibliometric analysis.

作者信息

Turgut Ahmet, Korunur Engiz Begum

机构信息

Department of Electrical and Electronics Engineering, Ondokuz Mayis University, Samsun, Turkey.

出版信息

Electromagn Biol Med. 2025 Aug 4:1-20. doi: 10.1080/15368378.2025.2539147.

DOI:10.1080/15368378.2025.2539147
PMID:40758607
Abstract

To better understand the developments and trends of studies on the health impacts of 5th Generation (5 G) antennas, a bibliometric analysis of the literature published in the Web of Science database from 2012 to 2025 was conducted. Before the analysis, the dosimetric quantities "specific absorption rate (SAR)" and "power density (Sab)" used in the examination of the health impacts of antennas were thoroughly defined, and their required limits were provided. Subsequently, information visualization technology was utilized to investigate the yearly distribution of literature, author contributions and collaboration, productive and influential institutions and countries/territories, co-citation analysis, and keyword co-occurrence. However, anticipated publication and citation numbers for the coming years (2025-2029) were predicted regarding the potential health impacts of 5 G antennas using artificial intelligence-assisted forecasting methods. There has been a considerable increase in studies related to health impacts measured by SAR and Sab dosimetric quantities over the last five years, in line with the number of articles published on 5 G antennas. Despite this, no bibliometric analysis has been done so far on the health impact of 5 G antennas below and above 6 GHz. The data presented in this bibliometric study to fill the gap on this subject will provide a better understanding of the health impacts and unique insights to offer good research guidance on 5 G antennas and their attributed adverse health impacts.

摘要

为了更好地了解第五代(5G)天线对健康影响的研究进展和趋势,我们对2012年至2025年期间在科学网数据库中发表的文献进行了文献计量分析。在分析之前,对天线健康影响检测中使用的剂量学量“比吸收率(SAR)”和“功率密度(Sab)”进行了全面定义,并给出了它们的要求限值。随后,利用信息可视化技术研究了文献的年度分布、作者贡献与合作、高产和有影响力的机构及国家/地区、共被引分析以及关键词共现情况。然而,使用人工智能辅助预测方法对未来几年(2025 - 2029年)5G天线潜在健康影响的预期发表和被引次数进行了预测。在过去五年中,与通过SAR和Sab剂量学量衡量的健康影响相关的研究有了显著增加,这与5G天线发表的文章数量一致。尽管如此,到目前为止尚未对6GHz以下和以上的5G天线健康影响进行文献计量分析。本文献计量研究中呈现的数据填补了该主题的空白,将有助于更好地理解健康影响,并提供独特见解,为5G天线及其相关不良健康影响提供良好的研究指导。

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