Yongjun Zhu

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The objective of this research is to examine the dynamic impact and diffusion patterns at the subfield level. Using a 15-year citation data set, this research reveals the characteristics of the subfields of computer science from the aspects of citation characteristics, citation link characteristics, network characteristics, and their dynamics. Through a set(More)
AIM To evaluate plasma Nogo-B levels in liver cirrhotic patients and declare a novel molecular basis by which Nogo-B modulates hepatic stellate cell (HSC) activation. METHODS Plasma Nogo-B levels from liver cirrhotic patients were detected by enzyme-linked immunosorbent assay. Rat primary HSC were culture activated or stimulated with transforming growth(More)
Identifying prestigious interdisciplinary journals is very significant for researchers. By publishing research works in prestigious journals, researchers can better propagate their works and get spotlights. Even though the quality of a paper is not represented by the journal that publish the paper, it is a general concern of researchers that how to identify(More)
Information visualization and data visualization are often viewed as similar, but distinct domains, and they have drawn an increasingly broad range of interest from diverse sectors of academia and industry. This study systematically analyzes and compares the intellectual landscapes of the two domains between 2000 and 2014. The present study is based on(More)
AIMS Proliferation is a 'multiplier' for extracellular matrix production and contraction of activated hepatic stellate cells (HSC) in fibrotic liver. Transient receptor potential melastatin-like 7 channels (TRPM7) are implicated in the survival and proliferation of several kinds of cells. This study was aimed to investigate the effect of TRPM7 blocker 2-APB(More)
The objective of this study is to evaluate the performance of five entity extraction methods for the task of identifying entities from scientific publications, including two vocabulary-based methods (a keywordbased and a Wikipedia-based) and three model-based methods (conditional random fields (CRF), CRF with keyword-based dictionary, and CRF with(More)
In biomedicine, scientific literature is a valuable source for knowledge discovery. Mining knowledge from textual data has become an ever important task as the volume of scientific literature is growing unprecedentedly. In this paper, we propose a framework for examining a certain disease based on existing information provided by scientific literature.(More)
Wireless sensor network (WSN) has got increasingly in-depth study and application because of its small size, flexible layout, strong reliability and other advantages, but in the mean time the life of a wireless sensor node is heavily dependent on the power supply batteries. This paper studies the design of a wireless sensor node which is powered by a micro(More)