Knowledge mapping of research on sustainable utilization of landscape resources:a case study of Guilin National Innovation Demonstration Zone for sustainable development in China

Worldwide interest has increasingly focused on the sustainable utilization of landscape as a resource in urban areas,emphasizing its ecological,cultural and social significance.This study examines Guilin City,China,as a representative case study due to its rich landscape resources and status as a national innovation demonstration zone for implementing the 2030 Agenda for Sustainable Development.This study uses bibliometric visualization tools like CiteSpace and VOSviewer to analyze research trends from 1980 to 2021 in the Chinese Academic Journal Network Publishing Database(CNKI).The results show increasing academic interest over three stages:initiation(1982-1997),exploration(1998-2004),and diversified development(2005-2021).Contributions are predominantly from local academic and tourism sectors,indicating a strong regional influence;however,relatively weak interinstitutional collaboration occurs,suggesting potential for more integrated research efforts.Primary research is also concentrated within economic disciplines,particularly tourism-related ones.The evolution of research frontiers reveals three main paths:urban development strategies,industrial economic theories and empirical validation,and ecosystem analysis and evaluation.A multidisciplinary approach and stronger collaborative efforts are crucial to enhance research on ecological values and empirical models while supporting evidence-based urban development strategies in Guilin City and comparable cities globally.

Research fronts and researchers of World Journal of Psychiatry in 2023: A visualization and analysis of mapping knowledge domains

BACKGROUND In the rapidly evolving landscape of psychiatric research,2023 marked another year of significant progress globally,with the World Journal of Psychiatry(WJP)experiencing notable expansion and influence.AIM To conduct a comprehensive visualization and analysis of the articles published in the WJP throughout 2023.By delving into these publications,the aim is to deter-mine the valuable insights that can illuminate pathways for future research endeavors in the field of psychiatry.METHODS A selection process led to the inclusion of 107 papers from the WJP published in 2023,forming the dataset for the analysis.Employing advanced visualization techniques,this study mapped the knowledge domains represented in these papers.RESULTS The findings revealed a prevalent focus on key topics such as depression,mental health,anxiety,schizophrenia,and the impact of coronavirus disease 2019.Additionally,through keyword clustering,it became evident that these papers were predominantly focused on exploring mental health disorders,depression,anxiety,schizophrenia,and related factors.Noteworthy contributions hailed authors in regions such as China,the United Kingdom,United States,and Turkey.Particularly,the paper garnered the highest number of citations,while the American Psychiatric Association was the most cited reference.CONCLUSION It is recommended that the WJP continue in its efforts to enhance the quality of papers published in the field of psychiatry.Additionally,there is a pressing need to delve into the potential applications of digital interventions and artificial intelligence within the discipline.

A Practical Study of Knowledge Mapping Empowering the Construction of Engineering Costing Software Application Courses in Undergraduate Colleges and Universities

Relying on the talent cultivation program of Chongqing Institute of Engineering,this paper combines the characteristics of the Engineering Costing Software Application course with its current status quo,analyzes the existing problems and teaching pain points,and introduces knowledge mapping.The course construction is carried out in terms of the combing of knowledge points,the optimization of the course structure,the innovation of the teaching method,and the evaluation and feedback of the teaching in order to improve the systematicity and structural nature of the teaching content,enhance students’learning experience,and enhance their learning effect.It is conducive to the formation of students’knowledge systems and provides a basis for discussion and reference for improving the quality of teaching and cultivating application-oriented talents who meet the market demand.

Research Progress and Suggestions on China’s Drug Registration Management Based on CiteSpace Knowledge Maps

Objective To analyze the research status and hot spots in the field of drug registration in China,and to provide some suggestions for the follow-up research.Methods CiteSpace was used to conduct literature quantitative analysis on 684 related articles from 2012 to 2022,and the knowledge map was drawn.Based on this,the main characteristics and development trends of the related studies were summarized.Results and Conclusion The number of articles published was closely related to the regulatory policy of drug registration reform.The authors of these articles did not have good continuity.Besides,research hot spots were closely related to the actual work,which was mainly around the improvement of the review and approval policy,encouraging innovative drug research and development,improving the level of new drug development and other directions.The follow-up studies should further strengthen the continuity of research and inter-agency collaboration.In addition,biomedical registration may become a new research focus in the future.

Research Progress on Economic Forest Water Stress Based on Bibliometrics and Knowledge Graph

This study employed the bibliometric software CiteSpace 6.1.R6 to analyze the correlation between thermal infrared,spectral remote sensing technology,and the estimation of economic forest water stress.It aimed to review the development and current status of this field,as well as to identify future research trends.A search was conducted on the China National Knowledge Infrastructure(CNKI)database using the keyword“water stress”for relevant studies from 2003 to 2023.The visual analysis function of CNKI was used to generate the distribution of annual publication volume,and CiteSpace 6.1.R6 was utilized to create network maps illustrating collaboration among authors and institutions.The study also analyzed the hotspots and frontiers of economic forest water stress.As a result,a total of 6664 academic journal articles related to water stress were retrieved.Considerable collaboration networks were observed among scholars and institutions,with a focus on using crown temperature monitoring to diagnose crop water stress.Based on the research findings,it was evident that the primary research trend involved the use of thermal infrared and spectral remote sensing technology for estimating water stress,making it a future research hotspot.

Knowledge map analysis of China's public participation in environmental governance PPP project using CiteSpace

China’s public participation in environmental governance PPP projects has become a hot research issue.Based on the CiteSpace software,taking 1592 literatures collected by CNKI from 2000 to 2021 as samples,the paper visually analyzes the literature timing,author distribution,institutional distribution,hot topics and evolution trends of Chinese public participation in environmental governance PPP project.After 20 years of development,the research focus of China’s public participation in environmental governance PPP project involves rural environmental governance,environmental diversification governance,regional environmental governance and environmental governance value-driven,and shows endogenous implicit drive and endogenous explicit drive.The multi-spiral characteristics of China’s public participation in environmental governance PPP coexist with endogenous implicit obstacles and exogenous implicit obstacles.

Knowledge Map编码与定位算法

该文提出用Hash来对KM(Knowledge Map)中的领域方向进行编码,形成领域方向Island.提出KM概念向量与概念间关系类型的编码方法.基于上述编码,利用Chord对海量Island进行快速定位;并在Island的控制下,提出C-Location与R-Location对相同领域方向的KM进行快速定位.Island可使具有相同领域方向的KM自动聚集在一起.实例计算说明该方法可对KM进行有效的编码与精确的定位,并具有较强的灵活性.

Knowledge mapping visualization analysis of the military health and medicine papers published in the Web of Science over the past 10 years

Background:Military medicine is a research field that seeks to solve the medical problems that occur in modern war conditions based on public medicine theory.Methods:We explore the main research topics of military health and medical research in the Web of Science?core collection(Wo SCC)from 2007 to 2016,and the goal of this work is to serve as a reference for orientation and development in military health and medicine.Based on Cite Space III,a reference co-citation analysis is performed for 7921 papers published in the Wo SCC from 2007 to 2016.In addition,a cluster analysis of research topics is performed with a comprehensive analysis of high-yield authors,outstanding research institutions and their cooperative networks.Results:Currently,the research topics in military health and medicine mainly focus on the following seven aspects:mental health diagnoses and interventions,an army study to assess risk and resilience in service members(STARRS),large-scale military action,brain science,veterans,soldier parents and children of wartime,and wound infection.We also observed that the annual publication rate increased with time.Wessely S,Greenberg N,Fear NT,Smith TC,Smith B,Jones N,Ryan MAK,Boyko EJ,Hull L,and Rona RJ were the top 10 authors in military health and medicine research.The top 10 institutes were the Uniformed Services University of the Health Sciences,the United States Army,the United States Navy,Kings College London,Walter Reed National Military Medical Center,Boston University,Walter Reed Army Institute of Research,Walter Reed Army Medical Center,Naval Health Research Center,and the VA Boston Healthcare System.Conclusion:We are able to perform a comprehensive analysis of studies in military health and medicine research and summarize the current research climate and the developmental trends in the Wo SCC.However,further studies and collaborations are needed worldwide.Overall,our findings provide valuable information and new perspectives and shape future research directions for further research in the area of military health and medicine.

Mapping theme trends and knowledge structures for human neural stem cells:a quantitative and co-word biclustering analysis for the 2013-2018 period

Neural stem cells,which are capable of multi-potential differentiation and self-renewal,have recently been shown to have clinical potential for repairing central nervous system tissue damage.However,the theme trends and knowledge structures for human neural stem cells have not yet been studied bibliometrically.In this study,we retrieved 2742 articles from the PubMed database from 2013 to 2018 using "Neural Stem Cells" as the retrieval word.Co-word analysis was conducted to statistically quantify the characteristics and popular themes of human neural stem cell-related studies.Bibliographic data matrices were generated with the Bibliographic Item Co-Occurrence Matrix Builder.We identified 78 high-frequency Medical Subject Heading(MeSH)terms.A visual matrix was built with the repeated bisection method in gCLUTO software.A social network analysis network was generated with Ucinet 6.0 software and GraphPad Prism 5 software.The analyses demonstrated that in the 6-year period,hot topics were clustered into five categories.As suggested by the constructed strategic diagram,studies related to cytology and physiology were well-developed,whereas those related to neural stem cell applications,tissue engineering,metabolism and cell signaling,and neural stem cell pathology and virology remained immature.Neural stem cell therapy for stroke and Parkinson’s disease,the genetics of microRNAs and brain neoplasms,as well as neuroprotective agents,Zika virus,Notch receptor,neural crest and embryonic stem cells were identified as emerging hot spots.These undeveloped themes and popular topics are potential points of focus for new studies on human neural stem cells.

Bibliometric analysis and mapping knowledge domain of pterygium:2000-2019

AIM:To track the knowledge structure,topics in focus,and trends in emerging research in pterygium in the past 20 y.METHODS:Base on the Web of Science Core Collection(Wo SCC),studies related to pterygium in the past 20 y from 2000-2019 have been included.With the help of VOSviewer software,a knowledge map was constructed and the distribution of countries,institutions,journals,and authors in the field of pterygium noted.Meanwhile,using cocitation analysis of references and co-occurrence analysis of keywords,we identified basis and hotspots,thereby obtaining an overview of this field.RESULTS:The search retrieved 1516 publications from Wo SCC on pterygium published between 2000 and 2019.In the past two decades,the annual number of publications is on the rise and fluctuated a little.Most productive institutions are from Singapore but the most prolific and active country is the United States.Journal Cornea published the most articles and Coroneo MT contributed the most publications on pterygium.From cooccurrence analysis,the keywords formed 3 clusters:1)surgical therapeutic techniques and adjuvant of pterygium,2)occurrence process and pathogenesis of pterygium,and 3)epidemiology,and etiology of pterygium formation.These three clusters were consistent with the clustering in co-citation analysis,in which Cluster 1 contained the most references(74 publications,47.74%),Cluster 2 contained 53 publications,accounting for 34.19%,and Cluster 3 focused on epidemiology with 18.06%of total 155 cocitation publications.CONCLUSION:This study demonstrates that the research of pterygium is gradually attracting the attention of scholars and researchers.The interaction between authors,institutions,and countries is lack of.Even though,the research hotspot,distribution,and research status in pterygium in this study could provide valuable information for scholars and researchers.

Immune evolutionary algorithms with domain knowledge for simultaneous localization and mapping

Immune evolutionary algorithms with domain knowledge were presented to solve the problem of simultaneous localization and mapping for a mobile robot in unknown environments. Two operators with domain knowledge were designed in algorithms, where the feature of parallel line segments without the problem of data association was used to construct a vaccination operator, and the characters of convex vertices in polygonal obstacle were extended to develop a pulling operator of key point grid. The experimental results of a real mobile robot show that the computational expensiveness of algorithms designed is less than other evolutionary algorithms for simultaneous localization and mapping and the maps obtained are very accurate. Because immune evolutionary algorithms with domain knowledge have some advantages, the convergence rate of designed algorithms is about 44% higher than those of other algorithms.

Knowledge Fusion and Synchronization over Ubiquitous Ontology Mapping

With the rapid development and popularization of web services, the available information types and structure are becoming more and more complex and challenging. Actually web services involve the need for dynamic integration and transparent knowledge integration, in light of the urgent information changing track. Under this situation, the traditional search engine and information integration cannot finish this challenge, thereby bringing the opportunity for knowledge fusion and synchronization. This paper proposes a multi-matching strategy ontology mapping method for web information, i.e., ubiquitous ontology mapping method (U-Mapping), which can be viewed as a base collection of information on multiple ontologies made to appear anytime and everywhere. This approach is usually built independently by different information providers, avoiding the grammatical and semantic conflict. Finally, the ontology case information can be utilized under the consolidation of the U-Mapping, concerning language technology and machine learning methods.

The bibliometrics survey of ecological economic research:A knowledge mapping analysis based on the SCI and SSCI database

Based on bibliometrics and knowledge mapping analysis method,this paper uses CiteSpace,a visual literature analysis tool,to analyze 3794 related documents with the theme of“economic economy”in SCI and SSCI databases from 2010 to 2020,including authors,institutions,subject headings and literature co-citation,so as to reveal the development and hot spots of ecological economic research.The results show that in recent years,the number of documents on ecological economic research has been increasing,and developed countries are dominant.China’s research in this field has developed rapidly and has certain advantages in terms of quantity and quality.The institution with the largest number of papers is Chinese Academy Science,followed by Beijing Normal University,University of Chinese Academy of Sciences,Peking University and Universitat autonomy de Barcelona;research hotspots in recent 10 years include“sustainability”,“management”,“climate change”,“impact”,“economy”,“china”,“conservation”,“ecosystem service”,etc.The top three journals are Sustainability,Journal of Cleaner Production,and Ecological Economics,accounting for about 10%of the total number of papers published.The hot spots of ecological economic research in 2010-2020 can be divided into three stages,with different theme words emerging in each stage.From 2018 to 2020,the theme word of high-strength emergence is“anthropocene”,which indicates that“anthropocene”may be the focus of future research.

Mapping the knowledge of international Chinese medicines treatment on type 2 diabetes:A biblimetrical study

Objective:To uncover and identify the hot topic and frontier of Chinese medicines treatment of type 2 diabetes mellitus(T2DM).Methods:Web of Science TM was searched for published articles for Chinese medicines treatment of T2DM ranging from January 1st,2002 to July 6th,2016.Knowledge maps of the international Chinese medicines treatment of T2DM are visualized by using document cooccurrence analysis and word frequency analysis(Institution and Journal),co-citation clustering analysis(Co-reference),keyword co-occurrence clustering analysis with CiteSpac III,a tool of scientometrics.Results:Universidad Nacional Autonoma de Mexico is the institution with the highest number of published papers that had been cited in this field,while China has four institutions among the top 10.The journal of the highest frequency of co-cited journal was Diabetes Care,a core one in the field.Keywords co-occurrence network was composed of 185 nodes,541 lines,and divided into 10 clusters.Co-citation network of co-reference was composed of 407 nodes,1199 lines,and divided into 20 clusters.Using Chinese medicine to improve insulin resistance and Chinese medicine research on blood glucose control are the hot topics.The frontier contains two aspects:new drugs development and application of intestinal insulin treatment and development and use of traditional Chinese medicine antidiabetic plants.Conclusion:Institutions from China still plays a major role in TCM-focused T2DM studies.The effect of TCM herbs on insulin resistance is the hot topic of the domain.Developing new TCM herbal medicine that regulates incretin effect is the domain frontier.Research on the Chinese medicines treatment of T2DM needs more high-quality evidence to support,and its mechanism requires further exploration.

Effect of hemovigilance education on nursing students’knowledge:the application of a conceptual map

Objective:Given the importance of having knowledge on the hemovigilance process in nursing care,the present study was conducted to investigate the effect of the hemovigilance education on nursing students’knowledge using a conceptual map.The current research was a semi-experimental study.Methods:The samples consisted of 60 nursing students who were selected based on the inclusion criteria using the census sampling method.Thereafter,these participants were randomly assigned into the two groups:experimental and control groups.The required data were collected before,immediately after,and 1 month after the education using the hemovigilance knowledge questionnaire.Accordingly,the validity of this questionnaire was confirmed,and its reliability using the Cronbach’s alpha coefficient was reported as 0.83.The education process was conducted during a 4-week period.Thereafter,the collected data were analyzed using descriptive and inferential statistics by SPSS v25.Results:The results reveal that a significant difference existed between the knowledge scores of students in the experimental group compared with that of the control group during different times(including before,immediately after,and 1 month after the education)(P<0.0001).Of note,hemovigilance education had a significant effect on the students’knowledge(P<0.0001).Conclusions:Due to the effect of the hemovigilance education on the students’knowledge and by applying the conceptual map in the easy transfer of the educational concepts,it is recommended that the results of the present study be used to strengthen the theoretical and clinical education of nursing students.

Research Progress and Trends in Organizational Resilience Research: Knowledge Graph Analysis Based on CiteSpace

Organizational resilience is an important core element for today’s companies to turn around in the VUCA1 environment. It can strengthen the ability of companies to adapt and help them to regain their strength in adversity. In this paper, based on CNKI database and WOS (Web of Science) database search to get the Chinese and foreign literature (special reference to English literature) for the whole year 2000-2022, and use bibliometric method to analyze the hot spots and research trends in the field of organizational resilience research, the results found that: 1) there is more foreign-language research literature on tissue toughness than Chinese-language research literature, and the number of articles published in Chinese journals on this topic has entered a rapid growth phase since 2011, and the number of articles published both at home and abroad is generally on the rise, and tissue toughness is increasingly becoming a research hotspot;2) from the cooperation of existing published literature, the cooperation network between research scholars is generally more dispersed, and domestic scholars are mostly independent;3) From the viewpoint of research hotspots, individual resilience, supply chain resilience and risk management are hotspots in foreign organizational resilience research;domestic research mainly focuses on the connotation and measurement dimensions of organizational resilience, individual resilience and dynamic capabilities.

CONSTRUCTION METHOD OF KNOWLEDGE MAP BASED ON DESIGN PROCESS

Due to the increasing amount and complexity of knowledge in product design, the know-ledge map based on design process is presented as a tool to reuse product design process, promote the product design knowledge sharing. The relationship between design task flow and knowledge flow is discussed; A knowledge organizing method based on design task decomposition and a visualization method to support the knowledge retrieving and sharing in product design are proposed. And a knowledge map system to manage the knowledge in product design process is built with Visual C＋＋ and SVG. Finally, a brief case study is provided to illustrate the construction and application of knowledge map in fuel pump design.

METHOD OF HIGH-LEVEL TECHNOLOGY MAPPING BASED ON KNOWLEDGE(RULE)

This paper studies the linkage problem between the result of high-level synthesis and back-end technology, presents a method of high-level technology mapping based on knowl edge, and studies deeply all of its important links such as knowledge representation, knowledge utility and knowledge acquisition. It includes: (1) present a kind of expanded production about knowledge of circuit structure; (2) present a VHDL-based method to acquire knowledge of tech nology mapping; (3) provide solution control strategy and algorithm of knowledge utility; (4)present a half-automatic maintenance method, which can find redundance and contradiction of knowledge base; (5) present a practical method to embed the algorithm into knowledge system to decrease complexity of knowledge base. A system has been developed and linked with three kinds of technologies, so verified the work of this paper.

Knowledge Map Analysis of the Domestic Rural Landscape Research Situation From 1998 to 2018 Based on CNKI

Urban-rural integration and beautiful rural construction have become an important way to improve the ecological environment of urban and rural areas,improve the quality of people’s lives and seek spiritual civilization.Rural landscape has become the research focus of scholars and elites in colleges and universities.In order to better clarify the context and hot spots of domestic rural landscape research,the study took the Chinese journal full-text database(CNKI)as the data source,took 2,079 rural landscape research papers published in the 20 years from 1998 to 2018 as a sample,and used CiteSpace software to carry out a literature econometric analysis of the study samples.According to the analysis results,the main research hotspots of rural landscape were combed and summarized,and the future trend of rural landscape research were predicted,in order to provide reference for researchers to carry out relevant research.