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Academic Journal of Humanities & Social Sciences, 2022, 5(10); doi: 10.25236/AJHSS.2022.051013.

Analysis and Prediction of Topic Research of Transgenic Papers Based on Knowledge Graph

Author(s)

Yongkang Duan

Corresponding Author:
Yongkang Duan
Affiliation(s)

School of Public Administrations, Sichuan University, Chengdu 630065, P.R China

Abstract

Citespace and other visualization software were used to analyze the knowledge graph of relevant pieces of literature on GM research in the past decade, and to sort out the number trend, core authors, research institutions, number of core journals published, and keyword co-occurrence graph of core research literature in gm research in the past decade. The analysis shows that the research interest in TRANSGENIC has changed in recent ten years. The research interest in the United States, China, and other countries is similar to the contribution of the sun, moon, and stars, while the major institutions led by the University of Chinese Academy of Sciences, China Agricultural University, and Harvard University are more willing to publish their research results in Plos One. Research focuses on transgenic rice, Alzheimer's disease, biochemistry, and molecular biology, in addition, future research will focus on transgenic plants, Alzheimer's disease, and other aspects.

Keywords

Knowledge Mapping, Transgenes, Subject Topics, Evolutionary Analysis, Evolutionary Prediction

Cite This Paper

Yongkang Duan. Analysis and Prediction of Topic Research of Transgenic Papers Based on Knowledge Graph. Academic Journal of Humanities & Social Sciences (2022) Vol. 5, Issue 10: 70-82. https://doi.org/10.25236/AJHSS.2022.051013.

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