Scopus and Web of Science metadata for: A Scientometric Review of Network Selection in Heterogeneous Smart Grids

This dataset contains the bibliometric metadata (.RIS format) of 91 scientific peer-reviewed articles analyzed in the study titled 'A Scientometric Review of Network Selection in Heterogeneous Smart Grids: Trends, Practical Gaps, and Resource-Constrained Opportunities' . The raw data was extracted from the Scopus and Web of Science databases, covering the period from 2011 to October 2025 . The dataset includes citation information, authors, abstracts, and keywords related to network selection, heterogeneous wireless networks, Smart Grids, Advanced Metering Infrastructure (AMI), and decision-making algorithms (such as MCDM and Machine Learning). The data curation process followed the PRISMA guidelines. This final dataset was utilized to perform a comprehensive scientometric analysis, including co-authorship networking, temporal production dynamics, and Cartesian thematic mapping using VOSviewer and Biblioshiny (Bibliometrix) software tools. This data is shared to facilitate the reproducibility of the experiments and to promote rigorous data analysis in the field of smart grid communications.本数据集包含题为《异构智能电网网络选择的科学计量学综述：趋势、实践缺口与资源受限机遇》的研究中所分析的91篇经同行评审的科学论文的文献计量元数据（格式为RIS）。 原始数据提取自Scopus与Web of Science数据库，时间覆盖范围为2011年至2025年10月。 本数据集涵盖与网络选择、异构无线网络、智能电网、高级计量基础设施（Advanced Metering Infrastructure, AMI）以及多准则决策（Multi-Criteria Decision Making, MCDM）、机器学习等决策算法相关的引用信息、作者信息、摘要及关键词。 数据整理流程遵循PRISMA指南。 本最终数据集被用于开展全面的科学计量分析，包括合著者网络分析、时序产出动态分析，以及借助VOSviewer和Biblioshiny（Bibliometrix）软件工具完成笛卡尔主题映射。 本数据集公开共享，旨在助力实验可重复性，并推动智能电网通信领域的严谨数据分析工作。