Keyword Co-occurrence Network Research Articles

BATTERY 2030+ and its Research Roadmap: A Bibliometric Analysis.

In this bibliometric study, we analyze two of the six battery research subfields identified in the BATTERY 2030+ roadmap: Materials Acceleration Platform and Smart functionalities: Sensing. In addition, we analyze the entire research field related to BATTERY 2030+ as a whole. We (a) evaluate the European standing in the two subfields/the BATTERY 2030+ field in comparison to the rest of the world, and (b) identify strongholds of the two subfields/the BATTERY 2030+ field across Europe. For each subfield and the field as a whole, we used seed articles, i. e. articles listed in the BATTERY 2030+ roadmap or cited by such articles, in order to generate additional, similar articles located in an algorithmically obtained classification system. The output of the analysis is publication volumes, field normalized citation impact values with comparisons between country/country aggregates and between organizations, co-publishing networks between countries and organizations, and keyword co-occurrence networks.

Gut microbiota and eye diseases: a bibliometric study and visualization analysis.

Recently the role of gut microbial dysbiosis in many ocular disorders, including but not limited to uveitis, age-related macular degeneration (AMD), diabetic retinopathy (DR), dry eye, keratitis and orbitopathy is a hot research topic in the field. Targeting gut microbiota to treat these diseases has become an unstoppable trend. Bibliometric study and visualization analysis have become essential methods for literature analysis in the medical research field. We aim to depict this area's research hotspots and future directions by bibliometric software and methods. We search all the related publications from the Web of Science Core Collection. Then, CiteSpace was applied to analyze and visualize the country distributions, dual-map overlay of journals, keyword bursts, and co-cited references. VOSviewer was employed to identify authors, co-cited authors, journals and co-cited journals and display the keyword co-occurrence networks. A total of 284 relevant publications were identified from 2009 to 2023. The number of studies has been small in the first five years and has grown steadily since 2016. These studies were completed by 1,376 authors from 41 countries worldwide, with the United States in the lead. Lin P has published the most papers while Horai R is the most co-cited author. The top journal and co-cited journal are both Investigative Ophthalmology & Visual Science. In the keyword co-occurrence network, except gut microbiota, inflammation becomes the keyword with the highest frequency. Co-citation analyses reveal that gut dysbiosis is involved in common immune- and inflammation-mediated eye diseases, including uveitis, diabetic retinopathy, age-related macular degeneration, dry eye, and Graves' orbitopathy, and the study of microbiomes is no longer limited to the bacterial populations. Therapeutic strategies that target the gut microbiota, such as probiotics, healthy diet patterns, and fecal microbial transplantation, are effective and critical to future research. In conclusion, the bibliometric analysis displays the research hotspots and developmental directions of the involvement of gut microbiota in the pathogenesis and treatment of some ocular diseases. It provides an overview of this field's dynamic evolution and structural relationships.

Evolution analysis of research on disaster-causing mechanism and prevention technology of mine goaf disaster.

The goaf is an important factor that induces major accidents. Based on the quantitative analysis of the existing research results, summarize and sort out the research and prevention technology of the goaf disaster with the experience of experts. Temporally, the research on goaf disasters was divided into two stages: the embryonic stage and the rapid development stage. Spatially, a collaborative network with the United States, China, Germany, France, Turkey, and the United Kingdom as the core, including India, Japan, Belgium, Italy, South Korea, and Canada, was analyzed. By constructing a co-occurrence and clustering network of keywords and co-cited literature to explore the focus and hotspots of goaf disaster research, the hotspots of goaf disaster research are summarized into four main aspects, such as goaf detection technology, goaf disaster analysis, goaf risk assessment and goaf treatment technology, which grasp the content of goaf research from a macro perspective. The burst detection analysis of keywords and co-cited literature was conducted to obtain the research frontiers of goaf disaster research in different periods. At the current stage, the microstructural characteristics of surrounding rocks in the context of deep mining and complex goaf group effect and the mining technology of the integration of excavation, anchoring and supporting are the current frontier research directions. This combined qualitative and quantitative method is more helpful to grasp the development context of goaf disaster research and provides a new reference perspective for sorting out the process of goaf disaster research.

Current knowledge and future research directions of medical tourism: insights from a bibliometric analysis

ABSTRACT The increasing number of published articles indicate the growth in the literature on medical tourism (MT). Using the performance analysis, we identify publication trends, most-cited articles, and analysis of methodologies used. Moreover, the current knowledge of MT is also synthesized using a keyword co-occurrence network, indicating 5 clusters and themes. These include the tourism market, health tourism, health services, medical tourism, and tourism. We also highlight 5 major research fronts or themes currently in focus and expanding. We aim to help academics and practitioners increase their understanding of MT and provide directions for future research.

Automated process planning and dynamic scheduling for smart manufacturing: A systematic literature review

Process planning and scheduling (PPS) are two key functions of Smart Manufacturing (SM) that need to be explored under the influence of Industry 4.0 (I4.0) operationalization. Although these two functions are connected, their objectives usually do not agree. As a result, Process Planning (PP) solutions often cannot cope with dynamic production requirements. Over the years, researchers have realized the potential of SM for the automation of several aspects of manufacturing, leading to the next industrial revolution. This study aims to identify the opportunities and challenges of Automated Process Planning and Scheduling (APPS), paying particular attention to Digital Twin (DT) and Artificial Intelligent (AI) technologies of I4.0. These technologies offer a new paradigm by creating an intelligent digital representation of the physical production system to explore the influence of uncertain events predictively. A systematic literature review methodology is obtained o achieve this goal. The survey is conducted in two stages. In the first stage, a Keyword Co-occurrence Network (KCN) analysis is undertaken to highlight current research trends. In the second stage, an in-depth review is conducted to identify specific applications and limitations. This study contributes towards identifying the most promising research direction within I4.0 for the holistic APPS problems to address shop floor uncertainties and disruptions.

Assessing the Impact of Technological Innovations in Healthcare: A Bibliometric Study of Medical Devices

Technological innovation in healthcare has emerged as a transformative force, reshaping the landscape of medical practices and patient care. This research conducts a comprehensive bibliometric analysis to assess the impact of technological innovation in healthcare. Using VOSviewer, co-authorship, citation, and keyword co-occurrence networks are visualized and analyzed. A systematic literature review is conducted to collect relevant articles within a specific timeframe. The analysis identifies key research areas, influential authors, and the overall impact of healthcare technology. The findings provide valuable insights for policymakers, researchers, and practitioners, guiding evidence-based decision-making and shaping the future of healthcare technology.

Protected Areas and Nature-Based Tourism: A 30-Year Bibliometric Review

Nature-based tourism constitutes a major segment of world tourism. Protected areas are considered a popular theme in the literature, which is characterised by a great heterogeneity in concepts, contents, and purposes. This study analyses many of the indicators of interest related to the research on the themes of protected areas and nature-based tourism. Consequently, we aim to offer a global and updated vision of the research produced regarding these themes over the last 30 years. With bibliometric tools (Bibliometrix and VOSviewer), 1033 scientific articles were analysed. The results indicate that the research in this area exponentially increased in the last decade. Using a co-occurrence network of keywords, five major themes in this study were identified: (1) ecotourism; (2) nature conservation, biodiversity, and sustainability; (3) national parks, recreation, and climate change; (4) sustainable management and development; and (5) with a lesser degree of representation, themes related to China and ecosystem services. A timespan analysis on this network enabled the identification of six trends in the research over the last years: (i) sustainable tourism; (ii) climate change; (iii) geotourism and rural tourism; (iv) ecosystem services and cultural ecosystem services; (v); visitor studies; and (vi) wildlife tourism. Nature-based tourism plays a significant and crucial role in sustainable development. Analysing research in protected areas and nature-based tourism provides insights into key themes and emerging trends, serving as a valuable resource for knowledge advancement.

Semantic domain comparison of research keywords by indicator-based fuzzy distances: A new prospect

Assessing the similarity of scientific outputs based on an indicator has not been addressed much so far. The topic, however, may find several potential applications which can help enrich procedures of ranking, research monitoring, and scientific policy-making. The present study offers a new method to quantify such similarities based on keyword co-occurrence matrices. In the proposed method, first, the keyword co-occurrence networks are transformed into their associated newly defined fuzzy sets, named as scientosemantic domains. Then, a fuzzy distance between the two domains is found based on an arbitrary indicator. In this paper, the three indicators of frequency, development and investment appeal are used. The proposed method is implemented for five types of concept comparison. For each type, concepts are represented by a canonical keyword with different field codes. Scientosemantic domains of concepts are sourced out of bibliometric data obtained from appropriate queries on SCOPUS. Number of keywords used to define scientosemantic domains ranges from about 30 to 800. Since indicator-based comparison of scientosemantic domains are not dealt with in the literature, the obtained distances between concepts are verified by qualitative and expert evaluations. For all cases, frequency- and development-based distances are less than those for investment appeal; while crisp distances for the latter extend beyond 0.6, the former does not exceed 0.3. The greatest distances are observed for investment appeal in technology-related keywords.

A Network Analysis Approach to Detecting Social Issues with Web-Based Data

Social issues refer to topics that occur and become increasingly focused in various areas of society. Because of the evolutionary pattern of issues, detecting social issues requires monitoring various stories formed by members of society over time. Various studies related to issue detection have been preceded, but it is necessary to supplement in two aspects: presenting the time when issues occurred and prioritizing issues by urgency. As a remedy, the purpose of this study is to propose a new approach to detecting social issues from web-based data through network analysis. Since stories that form social issues are composed of various keywords and topics, this study detects social issues by monitoring keyword co-occurrence networks constructed with web-based data. Specifically, this approach uses network structure entropy to identify a time period at which social issues occur. Next, a community detection algorithm is used to extract social issue candidates in the identified time period. Finally, social issues are detected by deriving the priority of social issue candidates through the centrality index of keywords constituting the candidates. This study detected South Korean social issue topics that attract people’s attention among the various topics of society. The proposed approach contributes to the existing literature by identifying when social issues occurred quantitatively based on the characteristics of issues. In addition, since the proposed approach detects urgent issues to be dealt with priority, it can support timely responses to social issues.

Challenges and countermeasures of China's research on "sports promoting adolescent socialization"-data mining based on Weibo and CNKI.

Understand the public demand for Adolescent socialization, and compare the hot spots in the researches of "sports promoting Adolescent socialization," so as to clarify the high-quality development direction of sports promoting Adolescent socialization in the new era. Collected the Weibo texts about "Adolescent socialization" from April 13, 2017 to June 1, 2022 through python, and used LDA to understand the relevant hot spots. Used City space to collect CNKI studies related to "sports promote Adolescent socialization," and used keyword co-occurrence network to understand hot spots. A total of 77,900 original Weibo texts were captured. The theme model identified five potential themes: "School and Family Education," "Social Participation," "Community Education," "Ideological and Political Education" and "Media." The semantic network showed that the public concerns of each theme include "Adolescent socialization education content," "relevant policies and regulations," "Adolescent socialization environment," "traditional culture" and "publicity ways and examples"0.52 studies were finally retrieved. The keyword co-occurrence network showed that keywords such as "Adolescent," "Socialization," "Sports Games," "School Sports" and "Family Sports" appeared more frequently and had higher intermediary centrality. Researches focused on Socialization, Internet Addiction, Coupling, School Sports, Sports Socialization Media. The public's attention to "Adolescent socialization" has three characteristics: subject linkage, object susceptibility, and media diversity. The researches on "Sports Promoting the socialization of Adolescents" has some problems, such as the imbalance of subject supply and demand, the inconsistent way of object supply and demand, and the different content of media supply and demand. The reason is that there is an information island between people and scholars. Existing research results can not meet the demands of the public.

Digital transformation in tourism sector: trends and future perspectives from a bibliometric-content analysis

PurposeThis article analyzes research on digital transformation in the tourism sector, providing insights into leading work, authors, journals, trends and future research opportunities. However, limited in-depth research exists on this topic, and the existing studies lack an understanding of its development, scope and relevant areas.Design/methodology/approachThe study utilized the Scopus database to identify 61 articles on digital transformation in the tourism sector. The research employed VOSviewer software to analyze publication and citation structure, incorporating bibliometric variables like co-authorship, co-citation network, keywords co-occurrence network and bibliographic coupling.FindingsThe study yielded valuable insights from top-cited articles, revealing their contributions to digital transformation in tourism research. It also highlighted publication trends and the impact of authors, journals and studies and conducted co-occurrence, co-authorship and bibliographic analyses to identify key trends and issues in the tourism sector. The study calls for further examination of the digital revolution in tourism research and outlines future opportunities for researchers in this area.Research limitations/implicationsTo enhance the comprehensiveness of data collection, it is recommended that researchers consider including publications from databases such as WOS (Web of Science), Dimensions and PubMed in addition to the Scopus database. This broader inclusion of sources can provide different network structures and valuable insights from the field of digital transformation in the tourism sector.Originality/valueThe research provides substantial value to the study of digital transformation in tourism by focusing on bibliometric data from the Scopus database for the period from 2017 to 2022. By analyzing this data, it identifies significant trends in digital transformation within tourism research. Additionally, the study uncovers new areas of digitization in the tourism sector, further enhancing its value and relevance.

Artificial Intelligence Application in Law: A Scientometric Review

Several topics, problems, and established legal principles are already being challenged using artificial intelligence (AI) in numerous applications. The powers of AI have been snowballing to the point where it is evident that AI applications in law and various economic sectors aid in promoting a good society. However, questions such as who the prolific authors, papers, and institutions are, as well as what the specific and thematic areas of application are, remain unanswered. In the current study, 177 papers on AI applications in law published between 1960 and April 29, 2022, were pulled from Scopus using keywords and analysed scientometrically. We identified the strongest citation bursts, the most prolific authors, countries/regions, and primary research interests, as well as their evolution trends and collaborative relationships over the past 62 years. The analysis also identified co-authorship networks, collaboration networks of countries/regions, co-occurrence networks of keywords, and timeline visualisation of keywords. This study concludes that systematic study and enough attention are still lacking in AI application in law (AIL). The methodical design of the required platforms, as well as the collecting, cleansing, and storage of data, and the collaboration of many stakeholders, researchers, and nations/regions are all problems that AIL must still overcome. Both researchers and industry professionals who are devoted to AIL will find value in the findings.

A Bibliometric Analysis of Lake Restoration with Submerged Macrophytes

Submerged macrophytes have attracted increasing attention in lake restoration due to the importance of their structuring communities and stabilizing functions in lake ecosystems. However, there is still a lack of systematic reviews on lake restoration with submerged macrophytes. Thus, we performed a systematic review based on a bibliometric analysis via analyzing and visualizing 934 published works from 1996 to 2023 from the Web of Science core collection. Publication characteristics were summarized, and keyword co-occurrence networks, reference co-citation analysis, and keyword burst tests were conducted. Our results suggest that the increasing attention in this field has partly resulted from the many water treatments and scientific schemes in Europe, China, and the USA and extensive international cooperation. The development of this field was divided into three stages based on keyword bursts (e.g., early, turning, and recent stages). Alternative stable states and biomanipulation laid the foundations of this field in the early stage. Progress in the field was discussed based on four aspects, the influence of environmental factors on submerged macrophytes, theory and mechanisms, targets, and evaluation and methods. Therefore, our results provide a new and comprehensive understanding of lake restoration with submerged macrophytes.

A comprehensive, semi-automated systematic literature review (SLR) design: Application to P-graph research with a focus on sustainability

Because of the vast number of academic products with focus on sustainability being currently generated, it is becoming exceedingly difficult and time-consuming to perform accurate literature reviews that have actual relationship with such a topic and correctly reflect its state of the art. Thus, this work proposes a comprehensive Systematic Literature Review (SLR) design as a novel approach for collecting the body of contributions for any given research field in general and sustainability in particular. This design is guided by a semi-automated procedure that aims at incorporating the best automation features of earlier SLRs and involves available scientific databases, e.g., Scopus and Web of Science. The results of the proposed SLR design include bibliometric analyses, a list of researcher and institution networks, and a qualitative assessment of practical applications of the field of interest. Moreover, the proposed semi-automated approach allows for the inclusion of subject categorization based on the generation of author-density maps and keyword co-occurrence networks. For illustration, the semi-automated SLR design is implemented by thoroughly reviewing the contributions pertaining to the P-graph (Process Graph) framework with a focus on sustainability. The P-graph framework has been applied to multiple areas, such as network design, optimization, and system integration; in particular, the framework has proven to be useful for the development of sustainable systems. Upon execution, the semi-automated SLR design collected 284 contributions related to P-graph, of which 139 were classified as sustainability-related, and further partitioned into specific categories. It is expected that the proposed semi-automated SLR design will help researchers in the sustainability community accelerate the generation of works in that area by rapidly generating accurate literature reviews.

BIBLIOMETRICS OF CALCIUM PHOSPHATE UTILISATION IN DENTISTRY

Calcium phosphates (CaPs) are frequently implemented in bone tissue engineering, especially in orthopaedics and dentistry, due to the resemblance of their inorganic constituent with bone or dental tissue. They have excellent biocompatibility, osseointegration and osteoconduction properties. The compounds are also widely available in nature and biological systems. Despite their excellent properties, various mechanical and physical factors affect their cell adhesion, proliferation, and bioactivity. Different applications have been highlighted such as synthesis techniques, coatings and composite scaffolds to utilise the bioactive characteristics of CaP in tissue engineering. A systemic data search was initiated using the “Article title, Abstract, and Keywords” search category of Scopus database to retrieve the original articles published in this field. With the aid of Scopus database and VOS Viewer software, the most contributing authors, countries, institution were retrieved. The most cited publication, publication year, and keyword co-occurrence network analysis facilitate the significant research focus and trends. This bibliometrics approach aims to quantify and analytically evaluate the research efficiency contributed in this specific area to the scientific community and reviews the substantial research trends of calcium phosphate application in dentistry.

Global trends and frontiers in research on exercise training for heart failure: a bibliometric analysis from 2002 to 2022.

Heart failure is a common cardiovascular disease that imposes a heavy clinical and economic burden worldwide. Previous research and guidelines have supported exercise training as a safe, effective, and cost-efficient treatment to intervene in heart failure. The aim of this study was to analyze the global published literature in the field of exercise training for heart failure from 2002 to 2022, and to identify hot spots and frontiers within this research field. Bibliometric information on literature on the topic of exercise training for heart failure published between 2002 and 2022 was searched and collected in the Web of Science Core Collection. CiteSpace 6.1.R6 (Basic) and VOSviewer (1.6.18) were applied to perform bibliometric and knowledge mapping visualization analyses. A total of 2017 documents were retrieved, with an upward-stable trend in the field of exercise training for heart failure. The US authors were in the first place with 667 documents (33.07%), followed by Brazilian authors (248, 12.30%) and Italian authors (182, 9.02%). The Universidade de São Paulo in Brazil was the institution with the highest number of publications (130, 6.45%). The top 5 active authors were all from the USA, with Christopher Michael O'Connor and William Erle Kraus publishing the most documents (51, 2.53%). The International Journal of Cardiology (83, 4.12%) and the Journal of Applied Physiology (78, 3.87%) were the two most popular journals, while Cardiac Cardiovascular Systems (983, 48.74%) and Physiology (299, 14.82%) were the two most popular categories. Based on the results of keyword co-occurrence network and co-cited reference network, the hot spots and frontiers of research in the field of exercise training for heart failure were high-intensity interval training, behaviour therapy, heart failure with preserved ejection fraction, and systematic reviews. The field of exercise training for heart failure has experienced two decades of steady and rapid development, and the findings of this bibliometric analysis provide ideas and references for relevant stakeholders such as subsequent researchers for further exploration.

New product development project management: Insights and research tendency from a bibliometric-based literature review

The research in relation to new product development (NPD) project management has been very rich in the past decade. However, there has been a lack of quantitative literature reviews investigating the status and evolution of research. In this study, we aimed to fill this gap by reviewing the NPD project management literature in the SCI-E and SSCI databases from 2012 to 2021 using the bibliometric method and the CiteSpace tool. First, we provided an overview of publications and identified several leading journals. Second, based on a keyword co-occurrence network, we identified five important research themes in NPD project management: optimization and simulation, knowledge management, product innovation, performance and success factors, and development strategy and firm strategy. Furthermore, we reviewed the important literature relating to each theme. Third, we analyzed the evolution of the NPD project management literature, as well as identifying research hotpots in the last 10 years, by creating a keyword time zone network. Finally, we proposed future trends in NPD project management research to fill the existing gaps.

A Bibliometric Analysis of the Literature on Food Industry Supply Chain Resilience: Investigating Key Contributors and Global Trends

Purpose: In light of ongoing challenges such as climate change, pandemics, and globalization, it is critical to have resilient food industry supply chains that can operate effectively in uncertain conditions. This study aims to contribute to this effort by investigating current trends and developments in the area of food industry supply chain resilience and identifying potential areas for improvement. Design/methodology/approach: We conducted a comprehensive bibliometric analysis of 122 articles published between 2008 and 2023, utilizing multiple quantitative measures such as bibliographic coupling and keyword co-occurrence network analysis. Findings: Our study identifies five distinct clusters of research on food industry supply chain resilience. We found that food systems resilience and public health is the most extensively studied aspect, indicating the importance of ensuring that our food supply chains are capable of withstanding disruptions to maintain public health. The other four clusters–seafood supply chain resilience and risk management; digital and sustainable food systems; agri-food Industry 4.0 and sustainability; and meat production and the food industry–each represent important areas for future research and development. Originality: To our knowledge, this is the first study that uses a bibliometric approach to analyze the resilience of food supply chain systems. By doing so, we provide a unique and original contribution to the existing literature on food supply chain systems, as prior bibliometric analyses have not specifically focused on the resilience aspect. Practical implications: Our findings highlight the need for continued research and development in the area of food industry supply chain resilience. By identifying the most pressing areas for improvement and future research, our study can help inform policy decisions and guide industry efforts to create more resilient food supply chains that can adapt to changing conditions.

Research Status and Prospect of Teaching Evaluation in the Context of Big Data

In order to investigate the research status and future development trend of teaching evaluation in the context of big data, this paper takes 325 papers in the Chinese database of China Knowledge Network from 2013 to 2022 as the research samples, and analyzes the co-citation network and keyword co-occurrence network of the collected literature with the help of CiteSpace software to explore the development trend, research overview and current research hotspots in this field. The study found that (1) in terms of the annual number of papers issued, the research on teaching evaluation in the context of big data is in an upward trend from 2013 to 2020, and reaches the climax of papers issued in 2020. (2) From the analysis results of core authors as well as author institution networks, there are connections among relevant authors that can promote the development of the field, but in general, communication and cooperation among scholars need to be further strengthened to lead to the emergence of more cohesive research teams. And there are few institutions studying teaching evaluation in the context of big data, but there is no cooperative relationship among various institutions. (3) From the analysis results of research hotspots, the research hotspots of teaching evaluation in the context of big data are mainly focused on big data, teaching evaluation, teaching mode, artificial intelligence, smart classroom, precise teaching and so on. (4) The frontier research on teaching evaluation in the context of big data mainly focuses on big data, information technology, smart classroom, mooc, and evaluation system.

Omnichannel retailing: exploring future research avenues in retail marketing and distribution management

PurposeThis study explores the present state of research related to omnichannel retail, investigates retail's different sub-areas and suggests future research directions.Design/methodology/approachThe subdomains of omnichannel retail have been identified using a keyword co-occurrence network (KCN) map and content analysis. The 5W1H method assisted in finding the bibliographies of 258 SCOPUS-indexed and ABDC-ranked journal articles and showcasing the omnichannel retail landscape.FindingsMost research on omnichannel retail is concentrated on five subdomains: customer behaviour, channel integration, technological innovation, supply chain and operations and strategy. The study's conceptual framework illustrates the omnichannel retailing environment and the variables that must be considered whilst establishing an omnichannel strategic vision. Besides, future researchers have been urged to concentrate on interdisciplinary research, as a seamless experience is unachievable if focussed on a single subdomain.Research limitations/implicationsThere is a slight probability of missing out on some good articles as this study considered only those articles that have been published in SCOPUS and ranked by the ABDC quality list.Practical implicationsThis study emphasises that for businesses to capitalise on the omnichannel model, the businesses must undergo a transformation involving technology convergence, customer-centricity and internal process reorganisation that integrates consumer feedback to co-create value. When a business adopts an omnichannel model, the business's priorities shift. Rather than depending solely on technology, faster delivery and channel integration, an omnichannel strategy requires strong leadership, a clear vision, training for all stakeholders and an understanding of customer pain points to reach the full potential.Originality/valueThe illustration of the omnichannel retail landscape using the 5W1H methodology and antecedents-decisions-outcomes (ADO) framework.