FOOD SCIENCE ›› 2020, Vol. 41 ›› Issue (13): 291-301.doi: 10.7506/spkx1002-6630-20190608-078

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Scientometric Analysis of Cross-Disciplinary Studies on Food Safety and Data Science in China

SHAO Hang, SONG Yinghua, LI Moxiao, SHAO Wei, LEI Shengjiao, KU Renjun, XIA Yaqiong   

  1. (1. China Research Center for Emergency Management, Wuhan University of Technology, Wuhan 430070, China; 2. Hubei Collaborative Innovation Center for Early Warning and Emergency Response Technology, Wuhan 430070, China; 3. School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China; 4. School of Biology and Pharmacy, China Three Gorges University, Yichang 443001, China)
  • Online:2020-07-15 Published:2020-07-29

Abstract: China’s 13th Five-Year Plan for National Food Safety proposes to enhance the capacity of technical support for food safety. The collection, storage and mining of food safety data are a crucial part of food safety technology. Analyzing the achievements that have been made in cross-disciplinary studies on food safety and data science and exploring future trends in this area in China are of great practical significance for promoting the application of data-driven food safety technology. In this study, the China National Knowledge Infrastructure database was retrieved for “topic containing food safety AND data”, and totally 3 375 pieces of literature information published in 1996–2019 were collected and used as dataset for mining scientific and technological texts by scientometric method and Citespace software. Moreover, data visualization was carried out by using keywords clustering map, time line map and burstness map. It was found that the number of published papers in this field was increased exponentially in the past 23 years. Totally, 3 categories and 11 sub-categories of subject clustering were formed, and the development process involved 3 stages by time line clustering: 1996–2006, 2007–2014 and 2015–2019. Those studies showed that the cross-disciplinary study on food safety and data science in China has reached a certain scale in terms of output, cooperation and research topics, and is currently developing rapidly under the guidance of new disciplinary growth points.

Key words: food safety, data science, scientometrics, Citespace, data visualization, cluster analysis, research hotspots

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