Why IEEE Xplore Matters for Research Trend Analysis in the Energy Sector

B. Chigarev
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Abstract

The article is aimed at a brief comparison and analysis of the results of queries to IEEE Xplore and the leading abstract databases Scopus and Web of Science to identify research trends. Some errors in the Author Keywords in Web of Science have been revealed. Therefore, a more detailed analysis was conducted by comparing different types of key terms for IEEE Xplore and Scopus platforms only. I used IEEE Access journal metadata as indexed on both platforms. The sample match for IEEE Xplore and Scopus was achieved by comparing DOI. The IEEE Xplore metadata contains more types of key terms, which provides an advantage in analyzing research trends. Using NSPEC Controlled Terms from expert-compiled vocabulary provides a more stable data, which gives an advantage when considering the change of terms over time. Apriori, an algorithm for finding association rules, has been used to compare co-occurrence of terms for a more detailed description of sample subjects on both platforms. VOSviewer was used to analyze trends in scientific research based on IEEE Xplore data. The 2011-2021 ten-year period was divided into two sub-intervals for comparing the occurrence of Author Keywords, IEEE Terms, and NSPEC Controlled Terms. Using the IEEE conference proceedings bibliometric data, I illustrated the importance of context in estimating the rate of growth of publishing activity on a topic of interest.
为什么IEEE探索能源领域研究趋势分析的重要性
本文旨在对IEEE Xplore和领先的抽象数据库Scopus和Web of Science的查询结果进行简要的比较和分析,以确定研究趋势。揭示了Web of Science作者关键词中存在的一些错误。因此,通过比较不同类型的关键词,仅针对IEEE Xplore和Scopus平台进行更详细的分析。我使用IEEE Access期刊元数据作为两个平台上的索引。通过比较DOI实现IEEE Xplore和Scopus的样本匹配。IEEE explore元数据包含更多类型的关键术语,这为分析研究趋势提供了优势。使用来自专家编译词汇表的NSPEC受控术语提供了更稳定的数据,这在考虑术语随时间的变化时具有优势。Apriori是一种查找关联规则的算法,用于比较两个平台上对样本主题进行更详细描述的术语的共现性。使用VOSviewer分析基于IEEE explore数据的科学研究趋势。将2011-2021年的10年周期分为两个子周期,比较作者关键词、IEEE术语和NSPEC受控术语的出现情况。使用IEEE会议论文集的文献计量数据,我说明了上下文在估计感兴趣的主题的出版活动增长率方面的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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