Zhentao Liang

Wuhan University | WHU · College of Information Management

With the continued aging of the scientific workforce, the impact of this trend on scientists' research performance has attracted increasing attention. The literature has predominantly focused on the productivity, impact, and collaboration pattern of scientists of different ages. A research gap is found in investigating the differences in the resear...

Novel ideas often experience resistance from incumbent forces. While evidence of the bias against novelty has been widely identified in science, there is still a lack of large‐scale quantitative work to study this problem occurring in the prepublication process of manuscripts. This paper examines the association between manuscript novelty and handl...

Compared to previous studies that generally detect scientific breakthroughs based on citation patterns, this article proposes a knowledge entity‐based disruption indicator by quantifying the change of knowledge directly created and inspired by scientific breakthroughs to their evolutionary trajectories. Two groups of analytic units, including MeSH...

The combination of the topic model and the semantic method can help to discover the semantic distributions of topics and the changing characteristics of the semantic distributions, further providing a new perspective for the research of topic evolution. This study proposes a solution for quantifying the semantic distributions and the changing chara...

As an important biomedical database, PubMed provides users with free access to abstracts of its documents. However, citations between these documents need to be collected from external data sources. Although previous studies have investigated the coverage of various data sources, the quality of citations is underexplored. In response, this study co...

As an important biomedical database, PubMed provides users with free access to abstracts of its documents. However, citations between these documents need to be collected from external data sources. Although previous studies have investigated the coverage of various data sources, the quality of citations is underexplored. In response, this study co...

Predicting emerging research topics is important to researchers and policymakers. In this study, we propose a two-step solution to the problem of emerging topic prediction. The first step forecasts the future popularity score, a novel indicator reflecting the impact and growth, of candidate topics in a time-series manner. The second step selects no...

As the volume of scientific publications has been growing at an increasingly rapid speed, it is important to identify prominent research trends for scientists and institutions. While a considerable number of researchers have attempted to map the current state of scientific research, more efforts should be made to reveal potentially influential rese...

Identifying and measuring science-technology linkage is important for understanding interactions between science and technology (S&T). Previous studies have focused mainly on knowledge linkages of knowledge systems between S&T but have ignored their structural linkages. To this end, we propose a novel knowledge network coupling approach to gauge ne...

Collaboration and knowledge networks have been proved to play a crucial role in innovation. From a multilevel network perspective, this study integrates research on the two types of networks and investigates how city-level collaboration and knowledge networks influence innovation in the energy conservation field. To this end, we calculate a city's...

A knowledge representation model is proposed to facilitate studies on knowledge creation, usage, and evolution. The model uses a three-layer net-work structure to capture citation relationships among papers, the internal concept structure within individual papers, and the knowledge landscape in a domain. The resulting model can not only reveal the...

Knowledge flow between disciplines is typically measured through citations among publications. In this study, we quantify cross-disciplinary knowledge diffusion from the novel perspective of content by introducing knowledge memes, a special type of knowledge unit. Diffusion cascade is proposed to model the diffusion process of knowledge memes. By t...