China's global growth in social science research: Uncovering evidence from bibliometric analyses of SSCI publications (1978-2013)

China's global growth in social science research

Independent research of China in Science Citation Index Expanded during 1980-2011.

This study was designed to evaluate China's scientific output of chemical engineering in Science Citation Index Expanded in the Web of Science from 1992 to 2011. The document type, language, trend and collaboration patterns were analyzed, as well as the output of different journals. Distributions of article titles and abstracts, author keywords, KeyWords Plus of different periods, and the most cited articles were studied to figure out the research focuses and trends. Chinese Journal of Catalysis, Industrial & Engineering Chemistry Research, and Chinese Journal of Chemical Engineering published most of Chinese articles in the area of chemical engineering. The Chemical Engineering Department of Tsinghua University, Zhejiang University, Tianjin University, and East China University of Science and Technology were the top four institutions that published most articles in China. This study showed that adsorption, photocatalysis and synthesis have been the hot points of research in the past two decades, while ionic liquid tends to be the new area of special interest in future. Pseudo-second order model for sorption processes is getting more and more popular with great influence since its publication. In addition, the ratio of institutional independent articles: nationally collaborative articles: internationally collaborative articles has been developed to compare different institutions' publication characteristics.

http://dns2.asia.edu.tw/~ysho/YSHO-English/Publications/PDF/Scientometrics98,%20119.pdf

China's research in chemical engineering journals in Science Citation Index Expanded: a bibliometric analysis

The toxicological assessment of genotoxic impurities is important in the regulatory framework for pharmaceuticals. In this context, the application of promising computational methods (e.g. Quantitative Structure–Activity Relationships (QSARs), Structure–Activity Relationships (SARs) and/or expert systems) for the evaluation of genotoxicity is needed, especially when very limited information on impurities is available. To gain an overview of how computational methods are used internationally in the regulatory assessment of pharmaceutical impurities, the current regulatory documents were reviewed. The software recommended in the guidelines (e.g. MCASE, MC4PC, Derek for Windows) or used practically by various regulatory agencies (e.g. US Food and Drug Administration, US and Danish Environmental Protection Agencies), as well as other existing programs were analysed. Both statistically based and knowledge-based (expert system) tools were analysed. The overall conclusions on the available in silico tools for ge...

Role of in silico genotoxicity tools in the regulatory assessment of pharmaceutical impurities

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