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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


Yongkang Duan

Corresponding Author:
Yongkang Duan

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


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.


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.


[1] Flatt P R, Bailey C J. Further evidence for a gene-dosage effect in lean heterozygous (ob/+) mice.[J]. Biochemical Society transactions,1980,8(5):

[2] ISAAA. Global Status of Commercialized Biotech/GM Crops in 2018

[3] Davenport T H, Prusak L, Wilson H J. Who’s Bringing You Hot Ideas and How Are You Responding?[J].Harvard Business Review,2003,81(2):58-64.

[4] Ma Feicheng, Liu Xiang. Evolvement Model for Scientific Knowledge Networks[J]. Systems Engineering-Theory & Practice,2013,33(2):437-443.

[5] Wang X, Cheng Q, Lu W. Analyzing Evolution of Research Topics with NEViewer: A New Method Based on Dynamic Co-word Networks[J].Scientometrics,2014,101(2):1253-1271.

[6] Ji L, Liu C, Huang L, et al. The Evolution of Resources Conservation and Recycling over the Past 30 Years: A Bibliometric Overview[J].Resources Conservation & Recycling,2018,134:34-43.

[7] Lucio-AriasD, Leydesdorff L. Main-path Analysis and Path-dependent Transitions in HistCiteTM-based Historiograms[J].Journal of the Association for Information Science & Technology, 2008,59(12):1948-1962

[8] Wu Q, Zhang C, Hong Q, et al. Topic Evolution Based on LDA and HMM and Its Applicationin Stem Cell Research[J]. Journal of Information Science,2014,40(5):611-620.

[9] Qi Yashuang, Zhu Na, Zhai Yujia. A Comparative Studyon Topic Heats Evolutionin the Field of Information Science Between the Domestic and Foreign Research Based on DTM[J].Library and Information Service,2016,60(16):99-109.

[10] Qu Jia-Bin,Ou Shi-Yan. Analysis of subject matter evolution based on subject matter filtering and subject matter association [J]. Data Analysis and Knowledge Discovery,2018,2(01):64-75.

[11] Zhu Donghua, Wan Dong, Wang Xuefeng, et al. Evolutionary Path Analysis and Forecasting Based on NSFC Funded Topics——A Case Study of Science and Technology Management and Policy[J]. Journal of Beijing Institute of Technology(Social Sciences Edition),2018,20(2):51-57.

[12] Gao Nan, Peng Dingyuan, FuJunying, et al. Research on Technology Fronts Prediction Based on Patent IPC Classification and Text Information: Taking the Field of Artificial Intelligence as an Example[J].Information studies:Theory&Application,2020,43(4):123-129.

[13] Li Xiaosong, Lei Shuai, Liu Tian. Research on General Idea of Front Technologies Forecasting Based on IRD[J]. Information studies: Theory & Application,2020,43(1):56-60.

[14] Zhu Qingsong, Leng Fuhai. Topic Identification of Highly Cited Papers Based on Citation Content Analysis[J]. Journal of Library Science in China,2014,40(1):39-49.

[15] Porter A L, Garner J, Carley S F, et al. Emergence Scoring to Identify Frontier R&D Topics and Key Players[J].Technological Forecasting and Social Change,2019,146:628-643.

[16] Tong,Li, Wen,Xu, Chunjiang, Tao,Limin.Quantitative analysis of research papers on enterprise information resource management in China from 1990 to 2010[J]. Journal of Modern Information,2011,31(07):102-105.

[17] Xiaoshun Zou, Xiaofen Wang, Luohua Deng. Applied mathematics for library intelligence: mathematical methods in knowledge organization, discovery and utilization [M]. Beijing: National Library Press, 2012: 26-27.

[18] Guan Peng, Wang Yifen, Cao Jiajun. A Study on the Construction and Evolutionary Analysis Framework of Disciplinary Knowledge Network Integrating Subjects [J].Information Science, 2018, 36 ( 9) : 3-8.

[19] Kui Ling, Xu Haiyun, Hu Zhengyin, et al. Multi-model Identification and Prediction of Evolutionary Paths of Academic Subjects[J]. Library and Information Service, 2016, 60 (7) : 71-81.

[20] De-Ping Wang. Current Status and Future Strategies for Development of Transgenic Plants in China[J]. Journal of Integrative Plant Biology,2007(09):1281-1283. 

[21] ISAAA. Global Status of Commercialized BiotechIGM Crops in 2018: Biotech Crops Continue to Help Meet the Challenges of lncreased Population and Climate Change[R]. ISAAA Brief No.54.ISAAA: Ithaca, NY,2018.

[22] James C. Global Status of Commercialized Biotech/GM Crops:2013[R]. ISAAA Brief No.46.ISAAA: lthaca, NY,2013..

[23] Singhal A. Introducing the knowledge graph: things, not strings. [2012-05-16]. https://www. blog. google/products/search/introducing-knowledgegraph-things-not/

[24] Cao Shujin, Zhao Bang. Construction and application of knowledge graph for innovative content of academic papers [J]. Journal of Modern Information,2021,41(12):28-37. 

[25] CHEN X, JIA S, XIANG Y. A review. Knowledge reasoning over knowledge graph[J]. Expert Systems with Applications, 2020,141:112948.

[26] Chen Yue, Chaomei Chen, Zeyuan Liu, et al. Methodological functions of CiteSpace knowledge graphs[J]. Studies in Science of Science, 2015, 33(2): 242-253.

[27] Synnestvedt M B, Chen C, Holmes J H. CiteSpace II: visualization and knowledge discovery in bibliographic databases[J]. AMIA Annu Symp Proc, 2005, 2005: 724-728

[28] Yan Ziming, Du Debin, Liu Chengliang, Gui Qinchang, Yang Wenlong. A visual analysis of knowledge mapping in Western innovation geography research[J].Acta Geographica Sinica, 2018,73(02):362-379.

[29] Zheng Qinghua, Dong Bo, Qian Buyue, Tian Feng, Wei Penfan, Zhang Weizhan, Liu Jun. Current status and development trend of intelligent education research[J]. Journal of Computer Research and Development,2019,56(01):209-224.

[30] Shi LJ, Yang ML. Scientometrics-based research hotspots of agricultural engineering in China [J]. Transactions of the Chinese Society of Agricultural Engineering,2016,32(S2):430-438.