Zhifeng Liu

• PhD candidate
• Peking University

Scientific collaboration is critical in tackling complex research challenges, necessitating optimized configurations of research teams. While existing research primarily examines the impact of collaboration network characteristics on the impact and innovation of individual papers, there is less focus on these characteristics within the context of r...

Academic research translates into improved health outcomes by influencing clinical trials that lead to changes in clinical practice. However, the process of incorporating academic research into clinical trials remains underexplored. This study aims to dissect the mechanisms underlying the translation of academic scholarship into clinical practice,...

The Medical Subject Headings (MeSH) thesaurus is a controlled vocabulary widely used in biomedical knowledge systems. We propose a novel framework, termed MeSHelper, that employs a dynamic knowledge graph to predict whether the MeSH main headings (MHs) will evolve while also predicting their corresponding revision type. We parsed the whole PubMed d...

Comprehending the patterns of knowledge evolution benefits funding agencies, policymakers, and researchers in developing creative ideas. We introduce the notation of scientific knowledge role transition as an evolution from informal to formal. We investigate how different factors affect the role transition of scientific knowledge, considering the t...

Scientific data are essential to advancing scientific knowledge and are increasingly valued as scholarly output. Understanding what drives dataset downloads is crucial for their effective dissemination and reuse. Our study, analysing 55,473 datasets from 69 data repositories, identifies key factors driving dataset downloads, focusing on interpretab...

Researchers adopt keywords to signify the core content of papers, and the spatial distribution of these keywords within the paper can provide insight into researchers’ adoption behavior patterns. In this study, the primary purpose was to investigate how keyword adoption patterns affect academic papers’ perceived value. First, we collected 5,739 pap...

Background: The web-based health question-and-answer (Q&A) community has become the primary and handy way for people to access health information and knowledge directly. Objective: The objective of our study is to investigate how content-related, context-related, and user-related variables influence the answerability and popularity of health-relat...

Citation behaviour is the source driver of scientific dynamics, and it is essential to understand its effect on knowledge diffusion and intellectual structure. This study explores the effect of citation behaviour on disciplinary knowledge diffusion and intellectual structure by comparing three types of citation behaviour trends, namely the high cit...

Author keywords for scientific literature are terms selected and created by authors. Although most studies have focused on how to apply author keywords to represent their research interests, little is known about the process of how authors select keywords. To fill this research gap, this study presents a pilot study on author keyword selection beha...

Author-selected keywords have been widely utilized for indexing, information retrieval, bibliometrics and knowledge organization in previous studies. However, few studies exist concerning how author-selected keywords function semantically in scientific manuscripts. In this paper, we investigated this problem from the perspective of term function (T...

Keywords for scientific literature are terms selected and created by authors, and are, in general, considered a core element that summarizes and represents the papers’ content, which are often used for the analysis of research hotspots and trends. Keyword semantic function means the semantic role or specific function that a keyword plays in a scien...