scholarly journals Knowledge Mapping Analysis of Transnational Agricultural Land Investment Research

Land ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1374
Author(s):  
Jing Han ◽  
Mengying Jiang ◽  
Xupeng Zhang ◽  
Xinhai Lu
Keyword(s):  
Agricultural Land ◽  
Research Field ◽  
Economic Research ◽  
Knowledge Mapping ◽  
Research Topics ◽  
Research Theme ◽  
Cooperation Network ◽  
Development Context ◽  
Basic Characteristics ◽  
Research Hotspots

With the expansion of the global transnational agricultural planting scale, research on transnational agricultural land investment is growing. In order to analyze the development context and basic characteristics of this research, and to discover the research hotspots and frontiers, this study used documentation and bibliometric methods to examine the achievements of it. The results show the following: (1) Transnational agricultural land investment research is mainly focused on the social sciences, development studies, economics, environmental sciences and geography. (2) The concentration of researchers in this research field is not high, and there is still a lack of authoritative researchers with high influence. The cooperation network has been initially formed between research institutions. Among them, universities and research institutes are the main institutions of transnational agricultural land investment research, but the degree of integration among the research teams is not high. (3) The evolution of the research theme of the field has experienced three stages—an embryonic stage, growth stage and stable stage—and the research content shows a trend of continuous divergence and deepening. (4) From 2005 to 2019, the research hotspots of the research focused on “Land Grabbing, Global Land, Africa, Investment”. At present, the emerging frontier research topics are “Indonesia, Livelihood, Trajectory and Sustainability”. With many years of development, the research has become an obvious “land” attribute, independent from traditional agricultural economic research, and the research topics are becoming more and more mature, refined and diversified. Transnational agricultural land investment research is attracting continuous attention from scholars in multiple disciplines and fields.

scholarly journals Scientometric Analysis of Medicinal and Edible Plant Coptis

2021 ◽  
Vol 12 ◽  
Author(s):  
Zhibang Huang ◽  
Zhengkun Hou ◽  
Fengbin Liu ◽  
Mei Zhang ◽  
Wen Hu ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
South Korea ◽  
Knowledge Bases ◽  
Research Field ◽  
Scientometric Analysis ◽  
Knowledge Mapping ◽  
Edible Plant ◽  
Research Hotspots

Objective: A scientometric analysis to obtain knowledge mapping of Coptis revealed the current research situation, knowledge base and research hotspots in Coptis research.Methods:Coptis-related documents published from 1987 to 2020 were selected through the Web of Science Core Collection. CiteSpace, VOSviewer and Microsoft Excel were used to construct knowledge maps of the Coptis research field.Results: A total of 367 documents and their references were analyzed. These papers were primarily published in mainland China (214), followed by Japan (57) and South Korea (52), and they each formed respective cooperation networks. The document co-citation analysis suggested that the identification of Coptis Salisb. species, the production of alkaloids, and the mechanisms of action of these alkaloids formed the knowledge bases in this field. A keyword analysis further revealed that the research hotspots were primarily concentrated in three fields of research involving berberine, Coptis chinensis Franch, and Coptis japonica (Thunb) Makino. Oxidative stress, rat plasma (for the determination of plasma alkaloid contents), and Alzheimer’s disease are recent research hotspots associated with Coptis.Conclusion:Coptis research was mainly distributed in three countries: China, Japan, and South Korea. Researchers were concerned with the identification of Coptis species, the production of Coptis alkaloids, and the efficacy and pharmacological mechanism of the constituent alkaloids. In addition, the anti-oxidative stress, pharmacokinetics, and Alzheimer’s disease treatment of Coptis are new hotspots in this field. This study provides a reference for Coptis researchers.

scholarly journals Virtual reality and gamification in marketing higher education: a review and research agenda

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sandra Maria Correia Loureiro ◽  
Ricardo Godinho Bilro ◽  
Fernando José de Aires Angelino
Keyword(s):  
Higher Education ◽  
Virtual Reality ◽  
Research Agenda ◽  
Research Field ◽  
Future Research ◽  
Research Topics ◽  
Content Type ◽  
Education Experience ◽  
Future Research Agenda ◽  
Search Terms

Purpose The purpose of this paper is to review studies on the use of virtual reality (VR) and gamification to engage students in higher education for marketing issues to identify the research topics, the research gaps and to prepare a future research agenda. Design/methodology/approach A literature review is performed based on two search terms applied to Web of Science, resulting in a final pool of 115 articles. A text-mining approach is used to conduct a full-text analysis of papers related to VR and gamification in higher education. The authors also compare the salient characteristics presented in the articles. Findings From this analysis, five major research topics are found and analysed, namely, teaching methodologies and education, experience and motivation, student engagement, applied theories in VR and gamification. Based on this and following the theory concept characteristics methodology framework, the paper provides directions for future research. Originality/value There is no comprehensive review exploring the topics, theories, constructs and methods used in prior studies concerning VR and gamification applied to higher education services based on all the articles published in well-regarded academic journals. This review seeks to provide deeper insights, to help scholars contribute to the development of this research field.

The relationship and development trend of corporate social responsibility (CSR) literature

2019 ◽  
Vol 58 (4) ◽  
pp. 601-624 ◽  
Author(s):  
Yu-Cheng Lin ◽  
Roni Padliansyah ◽  
Tzu-Chiang Lin
Keyword(s):  
Design Methodology ◽  
Recent Trend ◽  
Knowledge Structure ◽  
Development Trend ◽  
Research Field ◽  
Research Topics ◽  
Content Type ◽  
English Speaking ◽  
Corporate Social ◽  
The Relationship

Purpose The purpose of this paper is to provide a comprehensive view of the longitudinal status and the knowledge structure of the CSR research by identifying the major study topics, the development of CSR research, the leading authors and countries, as well as the most cited reference. Design/methodology/approach The authors systematically reviewed 14,490 articles in 15 journals specialized in CSR published between 2000 and 2016 with bibliographic coupling analysis and social network analysis to unveil the recent trend of CSR research. Findings The results identified 15 research topics in CSR research. This study accordingly suggests that CSR implication is the most popular topic in the CSR research field. Particularly, the publications regarding to “CSR Implication” increased with a dramatic trend. Furthermore, the rest of the 14 topics had a stagnant trend movement. Most of the leading authors of CSR research came from English-speaking countries. CSR investigations with varied topics simultaneously attracted the attentions of researchers from developed counties. On the other hand, researchers from developing countries simply focused limited issue. Originality/value This study proposes an automatic content analysis from scientometric perspective to reveal a comprehensive and longitudinal understanding of CSR research. Such examination on CSR studies is critical to afford researchers’ urgent need to grasp current research status and potential research space.

Coal Mine Safety Management Researching Situation Analysis Based on Knowledge Map

2014 ◽  
Vol 962-965 ◽  
pp. 1003-1009
Author(s):  
Hong Xia Li ◽  
Long Zhao Zhao
Keyword(s):  
Safety Management ◽  
Hot Spot ◽  
Basic Research ◽  
Development Trend ◽  
Research Field ◽  
Mine Safety ◽  
Published Data ◽  
Knowledge Map ◽  
Knowledge Mapping ◽  
Classical Literature

In order to understand the characteristics and law of development of coal research in the field of safety management, the papers published data from 1993--2013 based on Web of Science database and the Java platform development CitespaceIII visualization software for scientific knowledge map drawing is used. Through the knowledge map visualization analysis, it shows the origin of the research of international coal safety management and foundation of knowledge, and its basic and frontier disciplines. The results show that: through the visual keywords co-occurrence knowledge mapping analysis, high frequency keywords and high degree of heart keyword ranked in the top 10. It also shows the hot spot area and the development trend in the research field of coal safety management; from the literature co-citation results, classical literature and knowledge of basic research on coal safety management field, it plays an important role in the development process of the research in the field of visualization; through the journal co-citation analysis of knowledge map, it gets higher yield and literature journal, such as SAFETY SCI, COAL SCI TECHNOLOGY, CHINA COAL and the like, which shows that in the study of coal safety management field quantity of periodicals, China is the first, which explains China's leading position in the field of safety management of coal.

scholarly journals Knowledge Mapping of Grassroots Consultative Democracy Research in China (2004-2020) – Bibliometric Analysis Based on CNKI Database

2021 ◽  
Vol 10 (1) ◽  
pp. 58
Author(s):  
Ying Duan ◽  
Ying Zhang ◽  
Yi-Luo Wang
Keyword(s):  
Deliberative Democracy ◽  
Knowledge Mapping ◽  
New Era ◽  
Research Results ◽  
Chinese Characteristics ◽  
Data Source ◽  
Chinese Scholars ◽  
And Cluster Analysis ◽  
Research Stage ◽  
Research Hotspots

Since 2003, the term "consultative democracy" has received more and more attention from Chinese scholars, and more research results have been formed. In general, these documents lack the analysis of the research stage and research hotspots in this field. Therefore, this article uses the Chinese Academic Journals Network Publishing Library (CNKI) as the data source, and uses the common word analysis and cluster analysis methods in the CiteSpace software to analyze 500 Chinese core journals in the field of grassroots deliberative democracy in my country from 2004 to June 2020. The literature conducts a text quantitative analysis. The study found that the research hotspots of grassroots deliberative democracy in our country focused on Chinese characteristics, party leadership, national governance and political consultation. Compared with capitalist democracy, socialist democracy with Chinese characteristics is a comprehensive, extensive and true democracy, and the realization of democratization at the grassroots level is the unity of electoral democracy and deliberative democracy. Based on the above research results, the following suggestions are proposed: focus on improving the ability of grassroots masses to consult democracy; in the context of the new era, broaden the development path of grassroots consultative democracy.

scholarly journals A Multi-RNN Research Topic Prediction Model Based on Spatial Attention and Semantic Consistency-Based Scientific Influence Modeling

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Mingying Xu ◽  
Junping Du ◽  
Zeli Guan ◽  
Zhe Xue ◽  
Feifei Kou ◽  
...  
Keyword(s):  
Prediction Model ◽  
Computer Science ◽  
Spatial Attention ◽  
Research Field ◽  
Research Topic ◽  
Research Topics ◽  
Semantic Consistency ◽  
Model Based ◽  
Research Fields ◽  
Model Research

Computer science discipline includes many research fields, which mutually influence and promote each other’s development. This poses two great challenges of predicting the research topics of each research field. One is how to model fine-grained topic representation of a research field. The other is how to model research topic of different fields and keep the semantic consistency of research topics when learning the scientific influence context from other related fields. Unfortunately, the existing research topic prediction approaches cannot handle these two challenges. To solve these problems, we employ multiple different Recurrent Neural Network chains which model research topics of different fields and propose a research topic prediction model based on spatial attention and semantic consistency-based scientific influence modeling. Spatial attention is employed in field topic representation which can selectively extract the attributes from the field topics to distinguish the importance of field topic attributes. Semantic consistency-based scientific influence modeling maps research topics of different fields to a unified semantic space to obtain the scientific influence context of other related fields. Extensive experiment results on five related research fields in the computer science (CS) discipline show that the proposed model is superior to the most advanced methods and achieves good topic prediction performance.

scholarly journals Visualizing research trends and research theme evolution in E-learning field: 1999–2018

2020 ◽  
Author(s):  
Yang Bai ◽  
Hongxiu Li ◽  
Yong Liu
Keyword(s):  
New Technologies ◽  
Research Topics ◽  
Word Analysis ◽  
The Past ◽  
Research Theme ◽  
Research Themes ◽  
Temporal Continuity ◽  
E Learning ◽  
Learning Research ◽  
Future Direction

AbstractThis paper aims to provide a comprehensive understanding of the evolution of major research themes and trends in e-learning research. A co-word analysis is applied for the analysis of the 21,656 keywords collected from 7214 articles published in 10 journals in the field of e-learning from the years 1999 to 2018. Specifically, a cluster analysis, social network analysis, strategic diagram, and graph theory were applied in the analysis for two time periods: 1999–2008 and 2009–2018. The study detects the bridging, popular, and core topics in e-learning research for the two periods. The research results indicate that e-learning research has undergone a health evolution over the past two decades. There is a temporal continuity of e-learning research because some research topics have kept their continuity over the studied 20 years. Meanwhile, the research traditions in the e-learning field are also continuously evolving with the development of new technologies. The results also offer useful hints on the future direction of how the field may evolve.

Discovery and Topic Evolution Analysis of CRISPR/Cas9 Gene Editing Technology in Biomedical Field:Internet-based Survey (Preprint)

2021 ◽  
Author(s):  
Lixin Zhang ◽  
Mingkun Tang ◽  
Xiaolei Xiu ◽  
Jinming Wu ◽  
Sizhu Wu ◽  
...  
Keyword(s):  
Gene Editing ◽  
Hot Spot ◽  
Development Trend ◽  
Development Stage ◽  
Biomedical Science ◽  
Research Topics ◽  
Topic Evolution ◽  
Biomedical Field ◽  
The Times ◽  
Research Hotspots

BACKGROUND In 2020, the discoverers of CRISPR/Cas9 technology, Jennifer A. Doudna and Emmanuelle Charpentier, were awarded the Nobel Prize in Chemistry. This technology has revolutionized the field of biomedical science since its birth and contributed to the treatment of a variety of complex diseases. Scholars have carried out many studies on the development trend of CRISPR technology, bibliometrics, visualization and other aspects. However, there are few studies on the hot spot analysis and topic changes in the biomedical field, which is not conducive to scholars' thinking. OBJECTIVE This study aimed to:(1) mining and analyzing the research hotspots of CRISPR/Cas9 system in each stage; (2) sorting out and visualizing the evolution direction of the hot research topics of CRISPR/Cas9 gene editing technology in the past decade; (3) exploring the hidden research hotspots of CRISPR/Cas9 gene editing technology, so as to provide reference for further research METHODS In this study, research papers related to CRISPR/Cas9 gene editing technology in biomedical field published on the Web of Science core datasets from 2010 to 2020 were used; literature research method, analysis method and expert consultation method and other methods were comprehensively utilized; CiteSpace software and VOS viewer software were selected as visualization tools to analyze hot topics and topic evolution in research. RESULTS The generated co-occurrence map and cluster map were analyzed by keyword analysis strategy to determine the hot topics in each development stage. The topic evolution types and evolution paths are studied based on the categories and keywords of hot topics in each stage and the characteristics of their advancement along the time axis, and the topic evolution diagram and evolution path diagram were presented respectively. CONCLUSIONS Based on the above research results, firstly, in recent years, scholars have attached great importance to the research on this technology in the field of biomedical science, and the research topics have been deepened and enriched. Secondly, the development of CRISPR/Cas9 system shows different hot research directions in different periods, which is in line with the development of The Times. Finally, the theme evolution of CRISPR/Cas9 in the field of biomedicine generally shows a trend from single to multiple, and from theory to practice. Hidden research hotspots focus on the detection and treatment of infectious diseases, aging mitigation, drug resistance and other common diseases.

Toward understanding the topical structure of hospitality literature

2018 ◽  
Vol 30 (11) ◽  
pp. 3386-3411 ◽  
Author(s):  
Eunhye (Olivia) Park ◽  
Bongsug Chae ◽  
Junehee Kwon
Keyword(s):  
Machine Learning ◽  
Topic Modeling ◽  
Research Field ◽  
Intellectual Structure ◽  
Machine Learning Techniques ◽  
Research Topics ◽  
Evolutionary Patterns ◽  
Content Type ◽  
Learning Techniques ◽  
Academic Publications

Purpose This paper aims to identify the intellectual structure of four leading hospitality journals over 40 years by applying mixed-method approach, using both machine learning and traditional statistical analyses. Design/methodology/approach Abstracts from all 4,139 articles published in four top hospitality journals were analyzed using the structured topic modeling and inferential statistics. Topic correlation and community detection were applied to identify strengths of correlations and sub-groups of topics. Trend visualization and regression analysis were used to quantify the effects of the metadata (i.e. year of publication and journal) on topic proportions. Findings The authors found 50 topics and eight subgroups in the hospitality journals. Different evolutionary patterns in topic popularity were demonstrated, thereby providing the insights for popular research topics over time. The significant differences in topical proportions were found across the four leading hospitality journals, suggesting different foci in research topics in each journal. Research limitations/implications Combining machine learning techniques with traditional statistics demonstrated potential for discovering valuable insights from big text data in hospitality and tourism research contexts. The findings of this study may serve as a guide to understand the trends in the research field as well as the progress of specific areas or subfields. Originality/value It is the first attempt to apply topic modeling to academic publications and explore the effects of article metadata with the hospitality literature.

scholarly journals A Scientometric Overview of Global Dinoflagellate Research

Publications ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 50
Author(s):  
Carlos Yure B. Oliveira ◽  
Cicero Diogo L. Oliveira ◽  
Marius N. Müller ◽  
Elizabeth P. Santos ◽  
Danielli M. M. Dantas ◽  
...  
Keyword(s):  
Harmful Algal Blooms ◽  
Algal Blooms ◽  
Research Output ◽  
Research Field ◽  
Future Research ◽  
Scientometric Analysis ◽  
Fish Production ◽  
Emerging Trends ◽  
Basic Characteristics ◽  
Number Of Publications

Understanding the evolution of scientific literature is a critical and necessary step for the development and strengthening of a research field. However, an overview of global dinoflagellate research remains unavailable. Herein, global dinoflagellate research output was analyzed based on a scientometric approach using the Scopus data archive. The basic characteristics and worldwide interactions of dinoflagellate research output were analyzed to determine the temporal evolution and new emerging trends. The results confirm that dinoflagellate research output, reflected in the number of publications, is a fast-growing area since the mid-1990s. In total, five research subareas emerged using a bibliometric keywords analysis: (1) “symbiosis with coral reefs”, (2) “phylogeny”, (3) “palynology”, (4) “harmful algal blooms” and (5) “nutrition strategies”. Dinoflagellate publications were modeled by fish production (both aquaculture and fisheries) and economic and social indexes. Finally, directions for future research are proposed and discussed. The presented scientometric analysis confirms that dinoflagellate research is an active and important area with focus on mitigating economic impacts, especially in regard to fish production.

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