Blockchain is an inspiring emerging technology that takes much attention from various
researchers and companies. The technology offers various benefits such as data security …

Artificial intelligence (AI) is beginning to transform traditional research practices in many
areas. In this context, literature reviews stand out because they operate on large and rapidly …

Game theory provides a rigorous mathematical approach to evaluate and predict
stakeholders' interactions. Even though the construction industry is rich with encounters …

The recent years have witnessed a rapid increase in the number of scientific articles in
biomedical domain. These literature are mostly available and readily accessible in …

Objective: We explore the framing of literature-based discovery (LBD) as link prediction and
graph embedding learning, with Alzheimer's Disease (AD) as our focus disease context. The …

Every day, enormous amounts of biomedical texts discussing various biomedical topics are
produced. Revealing strong semantic connections hidden in those unstructured data is …

Literature-based discovery (LBD) aims to discover valuable latent relationships between
disparate sets of literatures. This paper presents the first inclusive scientometric overview of …

Solid research depends on systematic, verifiable and repeatable scientometric analysis.
However, scientometric analysis is difficult in the current research landscape characterized …

Цель работы состоит в выявлении тенденций развития интеллектуального анализа
данных (data mining) как научной дисциплины. На основе метода латентного …

Purpose: The work aims to extract topics that shape sport management science and
investigate their dynamics over the past two decades. Design/methodology/approach: A …