基于Scopus数据库的功能数据分析研究趋势:文献计量学分析

IF 0.8 Q3 MULTIDISCIPLINARY SCIENCES
J. Suhaila, Muhammad Fauzee Hamdan
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引用次数: 0

摘要

功能数据分析(Functional data analysis, FDA)因其灵活性和在各个领域的广泛应用而受到研究人员的极大关注。FDA提供了一个全面的框架,用于从复杂和高维数据集中分析和提取信息,使研究人员能够深入了解潜在的过程,改进建模,并做出准确的预测。因此,了解FDA主题及其特征和工具,以及确定合作网络,对其研究领域的发展至关重要。本文献计量学研究的目的是基于发表量、作者、合著者、隶属国家和作者关键词共现情况分析FDA领域的全球研究趋势,从而使研究人员能够评估现有的知识环境、未来趋势、潜在的研究差距和合作机会。从Scopus数据库中检索1989 - 2021年的出版物,筛选后得到1712篇期刊文章。结果表明,发表在《美国统计协会杂志》上的文章被引用的次数最高。近43%的发表文章是由美国的主要作者贡献的,其次是中国(11.5%)和西班牙(9.4%)。根据2021年QS世界大学排名,排名前20位的大学中有8所进入了前100名。研究结果表明,研究人员已经在各个领域集中开发和应用了FDA的工具和特征,如平滑、主成分分析、回归和聚类。此外,从作者关键词的最新进展可以看出FDA工具的扩展。最近出现了函数对函数回归、函数对标量回归、标量对函数回归、离群值检测、结构健康监测、COVID-19等新关键词。由于公众对新出现的疾病的关注,未来FDA的工作预计会增加,特别是在健康科学和生物医学领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research Trends on Functional Data Analysis Using Scopus Database: A Bibliometric Analysis
Functional data analysis (FDA) has received significant attention from researchers due to its flexibility and diverse applications in various fields. FDA provides a comprehensive framework for analysing and extracting information from complex and high-dimensional datasets, enabling researchers to obtain insights into the underlying processes, improve modelling, and make accurate predictions. Therefore, understanding the FDA topic and its features and tools, as well as identifying the collaborative networks, are crucial for the development of its research areas. The objective of the present bibliometric study is to analyse the global research trend in FDA areas based on publication outputs, authorships, co-authorships, affiliated countries, and the co-occurrence of author keywords, which will enable researchers to assess the existing knowledge environment, future trends, potential research gaps, and collaboration opportunities. The publications from the year 1989 to 2021 were retrieved from the Scopus database, resulting in 1712 articles in journals after screening. Results have shown that articles published in the Journal of the American Statistical Association received the highest citations. Nearly 43% of the published articles were contributed by the leading authors from the USA, followed by China (11.5%) and Spain (9.4%). According to the QS World University Ranking 2021, eight of the top 20 productive institutions were ranked among the top 100 best universities. The findings indicated that researchers had intensively developed and applied FDA tools and features, such as smoothing, principal component analysis, regression, and clustering, in various domains. In addition, the expansion of FDA tools could be seen based on the recent progress in author keywords. New keywords, including function-on-function regression, function-on-scalar regression, scalar-on-function regression, outlier detection, structural health monitoring, and COVID-19, have arisen recently. Due to public concern about emerging diseases, future FDA work is expected to rise, particularly in the health sciences and biomedical fields.
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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
45
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