我国饲料检测研究的进展及发展趋势——基于CiteSpace的可视化分析

doi:10.12160/j.issn.1672-5190.2024.06.008

Abstract

Abstract: [Objective] This study aims to comprehensively analyze the development history, research hotspots, and trends of feed testing in our country while providing visual data support. [Method] Utilizing the China National Knowledge Infrastructure （CNKI） database as the data source, this study retrieved journal literature on feed detection research in China from 1993 to 2024. The search themes included feed detection, feed detection technology, feed quality detection, and feed detection analysis. Additionally, an analysis of the annual publication volume in this research field was conducted. We employed bibliometric visualization software of CiteSpace 6.3.3 and VOSviewer 1.6.20 to analyze highly cited authors, cooperative networks, co-occurring keywords, and important journals, systematically identifying the research hotspots and trends of feed testing. [Results] Based on the predefined retrieval criteria, a total of 550 journal articles were included in this study. The peak publication year was 2009, during which 48 articles were published. The keyword cluster analysis reveals that preservatives and pig feed are the most prominent research foci in the domain of feed testing in China. Furthermore, preservatives, sensors, Shigella, and tetracycline have emerged as key topics of interest. The analysis of highly cited authors and their collaboration networks reveals that Jia Tao, Li Danni, and Gao Wenhui rank as the top three authors in terms of citation frequency of research outcomes, and they have also established the three largest collaborative networks. Additionally, Liu Muhua has made substantial contributions to the most recent research advancements. The co-occurrence keyword network analysis reveals that research in this field has evolved through three distinct stages: initial focus on toxin testing, subsequent exploration of detection methods and components, and the current emphasis on the application of emerging technologies and advanced detection methodologies. Looking ahead, pig feed testing, emerging technologies and testing methods, new feed testing, and are anticipated to be future research hotspots. [Conclusion] Through bibliometric analysis, we have identified the key research hotspots and emerging trends in the field of feed testing in China.

Key words: feed testing, CiteSpace, VOSviewer, scientometrics, hotspots

CLC Number:

LIU Jiahui. Research Progress and Development Trend of Feed Testing in China：Based on CiteSpace Visual Analysis[J]. Animal Husbandry and Feed Science, 2024, 45(6): 49-57.

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Research Progress and Development Trend of Feed Testing in China：Based on CiteSpace Visual Analysis

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