This article aims to provide reference for medicine-engineering interdisciplinary research. Targeted at
the scientific literature and patent literature published by Shanghai Jiao Tong University, this article attempts to set up co-occurrence matrix of medicine-engineering institutional information which was extracted from address fields of the papers, so as to construct the medicine-engineering intersection datasets. The dataset of scientific literature was analyzed using bibliometrics and visualization methods from multiple dimensions, and the most active factors, such as trends of output, journal and subject distribution, were identified from the indicators of category normalized citation impact (CNCI), times cited, keywords, citation topics and the degree of medicine engineering interdisplinarity. Research on hotspots and trends was discussed in detail. Analyses of the dataset of patent literature showed research themes and measured the degree for technology convergence of medicine engineering.
For FULL-TEXT https://doi.org/10.1007/s12204-022-2418-5
Author(s): WANG Qingwen, CUI Tingting, DENG Peiwen
Organization(s): Shanghai Jiao Tong University
Source: Journal of Shanghai Jiao Tong University
Year: 2022