Considerable specific cross-sectional and review studies have linked exposure to green
spaces to improving public health, but there is no bibliometric review attempting to …

Big data is a concept that deals with large or complex data sets by using data analysis tools
(eg, data mining, machine learning) to analyze information extracted from several sources …

We analyzed the overall knowledge structure, development trends, and research hotspots of
7684 publications related to hip fracture through the bibliometric method. Our results …

Background: The management of various central nervous system (CNS) disorders has been
challenging, due to highly compact blood-brain barrier (BBB) impedes the access of most …

Environmental Kuznets curve (EKC) is a statistical tool to examine the cointegration and
causality nexus between economic growth and carbon emissions. The EKC is widely used …

We analyze the field of emerging technologies using bibliographic techniques. The Web of
Science (WoS) citation database was used as an article retrieval tool in this study. To …

Deep learning integration in cancer diagnosis enhances accuracy and diagnosis speed
which helps clinical decision-making and improves health outcomes. Despite all these …

Continuous and remote health monitoring medical applications with heterogeneous
requirements can be realized through wireless body area networks (WBANs). Energy …

Purpose The primary aim of this study is to detail the use of soft computing techniques in
business and management research. Its objectives are as follows: to conduct a …

In order to identify the strategic topics and the thematic evolution structure of data mining
applied to healthcare, in this paper, a bibliometric performance and network analysis …