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@article{Ruhua2022,

title = {Research on Open Government Data Utilizationat Home and Abroad: Progress and Trends},

author = {Huang Ruhua and Huang Yuting and Li Ya},

url = {http://qbzl.ruc.edu.cn/CN/abstract/abstract1543.shtml},

doi = {/10.12154/j.qbzlgz.2022.04.001},

year  = {2022},

date = {2022-07-01},

urldate = {2022-07-01},

volume = {43},

number = {5-15},

issue = {4},

school = {Huang Ruhua Huang Yuting (Wuhan University) and Li Ya (Soochow University)},

abstract = {[Purpose/significance] The Open Government Data (OGD) movement has stimulated the opening and sharing of government data significantly. Data use, reuse, distribution, and value creation, is the next vital step in the global OGD movement. Summarizing current research progress in OGD utilization would lay a foundation for follow-up re? search and provide theoretical support for future practice.

[Method/process] This paper intends to explore the development trends and future perspectives of OGD utilization research mainly based on research articles from both China and abroad. Grey literature (i.e., related government documents, meeting minutes, important institution/project reports)are also analyzed to demonstrate a more holistic scenario. First, the development trend and topic distribution of OGD utilization research are discussed. Then, this article clarifies Chinese and international research progress from three aspects of data value, data user and promotion method. Finally, recent research trend of OGD utilization is summarized and future research directions are prospected based on research results.

[Result/conclusion] This paper reveals three research tendencies in OGD utilization studies. First, previous OGD utilization study was driven by the supply side, while current study tends to motivated more by the demand side. Second, previous OGD utilization study was usually conducted from a macro viewpoint, while fine-grained research angle is more preferred currently. Third, research paid more attention on data usage in government departments in former studies, while research on the use of OGD by the public is increasing. Several research topics are worth researching in the future, namely OGD utilization value, diverse OGD users and solid support measures for OGD utilization. From China’s perspective, the angle and depth in OGD utilization research need to be further enhanced. Moreover, studies that reflect Chinese characteristics are essential for the improvement of the international level of China's OGD utilization research. },

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Luo2022b,

title = {Food Supply Chain Safety Research Trends From 1997 to 2020: A Bibliometric Analysis},

author = {Jianli Luo and Shujuan Leng and Yanhu Bai},

url = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8850300/},

doi = {10.3389/fpubh.2021.742980},

year  = {2022},

date = {2022-02-03},

urldate = {2022-02-03},

journal = {National Library of Medicine},

volume = {9},

number = {742980},

abstract = {Background

The COVID-19 pandemic has exposed the fragility of the global food supply chain, strengthened consumers' awareness of the traceability system throughout the supply chain, and gradually changed consumers' consumption concepts and consumption patterns. Therefore, the aim of this study was to analyse the relevant literature on food safety in the food supply chain, examine its current status, hot spots, and development trends, and provide some suggestions for academics and relevant government departments in food supply chain safety research.



Methods

We collected the literature on the food safety research of the food supply chain from the Scopus database, used BibExcel to count the subject categories, published journals, geographical distributions, research institutions, authors, and keywords in the literature, and used Pajek software to analyse the keywords in the literature, perform co-occurrence analysis, draw related knowledge maps, and perform cluster analysis on primary keywords. Finally, to study the development trend, we used CorTexT software to illustrate the theme evolution path map in this research field.



Results

The keyword visualization network revealed the following key research topics: (1) food safety at the consumer end of the food supply chain, (2) food safety management in the food supply chain, (3) risk management of food safety in the food safety chain, and (4) food safety at the production end of the food supply chain.



Conclusions

After comprehensive discussion and analysis, we concluded that food supply chain management may be a hot topic in the future, especially in traceability management combined with the blockchain. It is necessary to explore in-depth how the blockchain can affect the food supply chain to provide a theoretical basis for managing the latter.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Xu2021,

title = {Exploring the Interdisciplinary Nature of Precision Medicine：Network Analysis and Visualization},

author = {Xin Xu and Jiming Hu and Xiaoguang Lyu and Huang He and Cheng Xingyu },

doi = {10.2196/23562 },

year  = {2021},

date = {2021-01-11},

journal = {JMIR Medical Informatics},

abstract = {The aim of this study is to present the nature of interdisciplinary collaboration in precision medicine based on co-occurrences and social network analysis. A total of 7544 studies about precision medicine, published between 2010 and 2019, were collected from the Web of Science database. We analyzed interdisciplinarity with descriptive statistics, co-occurrence analysis, and social network analysis. An evolutionary graph and strategic diagram were created to clarify the development of streams and trends in disciplinary communities. The results indicate that 105 disciplines are involved in precision medicine research and cover a wide range. However, the disciplinary distribution is unbalanced. Current cross-disciplinary collaboration in precision medicine mainly focuses on clinical application and technology-associated disciplines. The characteristics of the disciplinary collaboration network are as follows: (1) disciplinary cooperation in precision medicine is not mature or centralized; (2) the leading disciplines are absent; (3) the pattern of disciplinary cooperation is mostly indirect rather than direct. There are 7 interdisciplinary communities in the precision medicine collaboration network; however, their positions in the network differ. Community 4, with disciplines such as genetics and heredity in the core position, is the most central and cooperative discipline in the interdisciplinary network. This indicates that Community 4 represents a relatively mature direction in interdisciplinary cooperation in precision medicine. Finally, according to the evolution graph, we clearly present the development streams of disciplinary collaborations in precision medicine. We describe the scale and the time frame for development trends and distributions in detail. Importantly, we use evolution graphs to accurately estimate the developmental trend of precision medicine, such as biological big data processing, molecular imaging, and widespread clinical applications.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Wei2020,

title = {Analyzing the topic distribution and evolution of foreign relations from parliamentary debates: A framework and case study},

author = {Wei Lu and Jiamin Wang and Jiming Hu},

doi = {https://doi.org/10.1016/j.ipm.2019.102191},

year  = {2020},

date = {2020-05-01},

journal = {Information Processing & Management},

volume = {55},

number = {3},

abstract = {Parliamentary texts are records of discussions of domestic and international affairs, which reflect national attitudes and development trends in foreign relations. In this paper, a research framework is proposed to analyze foreign relations on the basis of parliamentary texts. First, topic words are extracted from parliamentary texts, and then a co-word network is constructed to represent the correlation structure of topic words. The basic statistics, calculation of network indicators, community detection, and visualization of network maps and evolution venation, as well as the depiction of a strategic diagram, elucidate deeper characteristics and connotations of foreign relations. This case study on UK-China relations during the period of 2011-2017 using British parliamentary texts reveals the following findings. Over this period, UK-China relations changed in terms of the topics involved, topics which are greatly unbalanced in distribution, but are quite concentrated. Five different directions exist, centering on Trade, Human rights, Nuclear, Steel, and Visa. The evolution of topics includes merging and differentiation. A minority of topics exhibit marked continuity, which constitute the main focal points discussed each year, such as Economy and Trade. Regarding development trends, themes related to trade and steel remain focal points in UK-China relations. Overall, the framework proposed in this paper is proven to be both effective and feasible, and its application through this case study can foster a deeper understanding of the status and development of UK-China relations.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Lyu2020,

title = {Intellectual Structure and Evolutionary Trends of Precision Medicine Research: Coword Analysis},

author = {Xiaoguang Lyu and Jiming Hu and Weiguo Dong and Xin Xu},

url = {https://medinform.jmir.org/2020/2/e11287},

doi = {10.2196/11287},

issn = {2291-9694},

year  = {2020},

date = {2020-02-04},

journal = {JMIR Med Inform},

volume = {8},

number = {2},

pages = {e11287},

abstract = {Background: Precision medicine (PM) is playing a more and more important role in clinical practice. In recent years, the scale of PM research has been growing rapidly. Many reviews have been published to facilitate a better understanding of the status of PM research. However, there is still a lack of research on the intellectual structure in terms of topics. Objective: This study aimed to identify the intellectual structure and evolutionary trends of PM research through the application of various social network analysis and visualization methods. Methods: The bibliographies of papers published between 2009 and 2018 were extracted from the Web of Science database. Based on the statistics of keywords in the papers, a coword network was generated and used to calculate network indicators of both the entire network and local networks. Communities were then detected to identify subdirections of PM research. Topological maps of networks, including networks between communities and within each community, were drawn to reveal the correlation structure. An evolutionary graph and a strategic graph were finally produced to reveal research venation and trends in discipline communities. Results: The results showed that PM research involves extensive themes and, overall, is not balanced. A minority of themes with a high frequency and network indicators, such as Biomarkers, Genomics, Cancer, Therapy, Genetics, Drug, Target Therapy, Pharmacogenomics, Pharmacogenetics, and Molecular, can be considered the core areas of PM research. However, there were five balanced theme directions with distinguished status and tendencies: Cancer, Biomarkers, Genomics, Drug, and Therapy. These were shown to be the main branches that were both focused and well developed. Therapy, though, was shown to be isolated and undeveloped. Conclusions: The hotspots, structures, evolutions, and development trends of PM research in the past ten years were revealed using social network analysis and visualization. In general, PM research is unbalanced, but its subdirections are balanced. The clear evolutionary and developmental trend indicates that PM research has matured in recent years. The implications of this study involving PM research will provide reasonable and effective support for researchers, funders, policymakers, and clinicians.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}