During the last few decades, the widespread growth of scholarly networks and digital
libraries has resulted in an explosion of publicly available scholarly data in various forms …

This is the first detailed study on the coverage of Microsoft Academic (MA). Based on the
complete and verified publication list of a university, the coverage of MA was assessed and …

Scholar clustering has garnered increasing attention due to the explosive growth of scholar
data. Although researchers have proposed many algorithms to cluster scholars, they …

The traditional literature analysis mainly focuses on the literature metadata such as topics,
authors, keywords, references, and rarely pays attention to the main content of papers …

Abstract Main Path Analysis (MPA) is widely used to trace the developmental trajectory of a
technological field through a citation network. The citation-based traversal weight is usually …

在当前农业信息化的发展进程中, 多数农业子领域面临着数据资源分散, 信息整合难度大,
知识利用效率低等问题. 作为近年来新兴的一种知识表示技术, 知识图谱已在部分农业特定领域 …

The enormous growth in the size of scholarly literature makes its retrieval challenging. To
address this challenge, researchers and practitioners developed several solutions. These …

As a widely used technique for discovering developmental trajectory of a specific field of
science and technology, main path analysis armed with global search strategy prefers …

The pandemic of COVID-19 has inspired extensive works across different research fields.
Existing literature and knowledge platforms on COVID-19 only focus on collecting papers on …

Flooding is the most frequent natural disaster globally, resulting in the highest economic
losses. Efficient resource retrieval is crucial for improving flood response. Constructing a …