Analysis Of Research Trends Research Articles

The Evolution and Future Directions of Green Buildings Research: A Scientometric Analysis

Economic development and urbanization naturally give rise to expanding demand for new buildings, whose construction and operation inevitably lead to significant increases in energy consumption and greenhouse gas emissions. To better conserve resources and protect the environment, technologies for green buildings have evolved significantly in the past two decades. In this study, a scientometric analysis of green buildings research from 2003 to 2023 was performed using CiteSpace. A total of 1986 articles retrieved from the Web of Science (WoS) core collection database were used as the data source for an in-depth analysis of research trends, hotspots, and future directions, showing changes in publication numbers, core journals, key countries, and institutions that have made remarkable contributions in this field. The results showed that the field of green buildings research is in a phase of rapid growth. The current research hotspots include the adoption of the green buildings paradigm, rating systems, energy performance, greenhouse gas emissions, indoor environmental quality, and green roofs/walls. Based on the keywords citation bursts and literature review, we believe that government promotion measures, use of renewable energy, integration with plants, and application of artificial intelligence (AI) in green buildings will be the most promising development directions in the future.

Analysis of research trends (2014-2023) on oxidative stress and male fertility based on bibliometrics and knowledge graphs.

Oxidative stress (OS) is considered one of the major factors affecting male fertility, and research in this field has seen constant growth year by year. Currently, around 700 relevant papers are published each year, with a trend of further growth. Therefore, this study systematically summarizes the literature published in the last decade from a bibliometric perspective, revealing the dynamic development of the field, identifying research hotspots, analyzing future trends, and providing reference for further research. Relevant literature on oxidative stress and male fertility was retrieved from the Web of Science Core Collection (WoSCC) database, covering the timespan from 2014 to 2023 and including two types, articles and reviews. CiteSpace and VOSviewer were used for bibliometric analysis, including cluster analysis, co-occurrence analysis, co-citation analysis, and burst analysis of countries/regions, institutions, journals, authors, references, and keywords. This paper studied a total of 5,301 papers involving 107 countries/regions, with China having the highest number of publications (898 papers) and the United States having the highest centrality (0.62). Burst analysis of journal citations revealed the emergence of many new journals (e.g., Antioxidants-Basel, Front Endocrinol) after 2021, indicating continuous expansion and development in this field. Cluster analysis of co-cited references and co-occurring keywords divided the research into areas such as oxidative stress and male infertility, oxidative stress level detection, and antioxidants. The keywords associated with research hotspots shifted from oxidative stress detection, sperm DNA damage, apoptosis, and redox potential to DNA methylation, embryonic development, infection, polyunsaturated fatty acids, and antioxidants. Bibliometric methods provide an intuitive reflection of the development process in the field of oxidative stress and male fertility, as well as the analysis of research hotspots in different periods. Research on oxidative stress and embryonic development, as well as antioxidant health management, may become hotspots in future research.

Bibliometric analysis of research trends on sustainable development goals during the Covid-19 pandemic in Indonesia

Bibliometric analysis of research trends on sustainable development goals during the Covid-19 pandemic in Indonesia

Engaging in sports via the metaverse? An examination through analysis of metaverse research trends in sports

In sports, virtual spaces are sometimes utilized to enhance performance or user experience. In this study, we conducted a frequency analysis, semantic network analysis, and topic modeling using 134 abstracts obtained through keyword searches focusing on “sport(s)” in combination with “metaverse”, “augmented reality”, “virtual reality”, “lifelogging”, and “mixed reality”. First, the top 20 words were extracted through frequency analysis, and then each type of extracted word was retained to select seven words. The analysis revealed the emergence of key themes such as “user(s)”, “game(s)”, “technolog(y/ies)”, “experience(d)”, “physical”, “training”, and “video”, with variations in intensity depending on the type of metaverse. Second, the relationships between the words were reconfirmed using semantic networks based on the seven selected words. Finally, topic modeling analysis was conducted to uncover themes specific to each type of metaverse. We also found that “performance/scoring” was a prominent word across all types of metaverses. This suggests that in addition to providing enjoyment through sports, there is a high possibility that all users (both general users and athletes) utilize the metaverse to achieve positive outcomes and success. The importance of “performance/scoring” in sports may seem obvious; however, it also provides significant insights for practitioners when combined with metaverse-related keywords. Ultimately, this study has managerial implications for enhancing the performance of specialized users in the sports industry.

Unraveling the Knowledge Roadmap of Building Policy Mixes: A Scientometric Analysis

Improving energy efficiency and reducing carbon emissions from buildings are crucial for achieving sustainable development. To realize these goals, it is essential to adopt a policy mix. However, despite much effort in this field, there is a lack of comprehensive understanding on building policy mixes (BPMs), which challenges building sustainability. To address this research gap, this study attempted to uncover the knowledge landscape of BPM through scientometric analysis. By employing methods such as keywords co-occurrence analysis, clustering analysis, co-citation analysis, and research trend analysis, this study systematically examined the current status, hot topics, underlying knowledge framework, knowledge domains, and frontiers of BPM research. The findings revealed that the existing BPM research primarily focuses on various aspects, including policy-related topics such as building energy efficiency policies and policy instruments, as well as topics like green affordable housing, hindering factors, carbon pricing, use obligation, construction waste reduction, and sustainable construction methods. Furthermore, the analysis identified research frontiers in BPM, encompassing policy considerations (e.g., building efficiency policy, split incentive, carbon tax, and carbon pricing), energy-related aspects (e.g., consumption, green transition), political dimensions (e.g., governance, management), building-related factors (e.g., green building, retrofitting), the innovation system, and the evolutionary game. Based on these findings, this study suggests that future research in BPM can deepen insight into interdisciplinary policy mixes by focusing on policy strategies, processes, and features. This study contributes to a holistic understanding of BPM and offers insightful guidance for both researchers and practitioners seeking to advance sustainable practices in the building sector.

Bibliometric analysis and scientific mapping of research trends on ‘digital divide’

Purpose With the aid of bibliometric analysis, this study aims to show the state-of-the-art of research on the digital divide and identifies new areas for further investigation. Design/methodology/approach Performance analysis and science mapping were used in the study to analyse a sample of 3,571 studies that were published between 2018 and 2022. The “Title-Keyword-Abstract” search option was used to collect the anticipated publications data from the Scopus database. The gathered data were analysed using the common bibliometric indices to evaluate the research landscape. The science mapping tactics made use of the VOSviewer and Biblioshiny software. Findings The performance and science mapping analysis shows that recent research on the digital divide has not been sufficiently exposed and examined. The analysis discovered emerging topics, prolific authors and nations, affiliations, a network of collaboration among authors, countries and institutions, bibliographic coupling and keyword co-occurrence. Originality/value This work presents a state-of-the-art that has significant theoretical and practical ramifications for the existing digital divide literature. The methodologies and database used in the current study are more extensive.

Bibliometric and visual analysis of membranous nephropathy literature from 2010 to 2023.

Membranous glomerulonephritis, also known as membranous nephropathy (MN), is a common cause of nephrotic syndrome in adults. Despite extensive research on MN, bibliometric studies on the subject are scarce. Therefore, this study aimed to provide a visual analysis of global trends in membranous nephropathy research over the past 13years. This study conducted a bibliometric and visual analysis of global trends in MN research from 2010 to 2023. Articles related to MN were retrieved from the Web of Science Core Collection (WoSCC) database. Tools such as CiteSpace and VOSviewer were utilized to analyze publications, countries, institutions, authors, publishing journals, co-cited references, and keywords to identify the current state and future trends in MN research. The analysis encompassed 1,624 publications, showing an annual increase from 2010 to 2023. The People's Republic of China emerged as the most active country in this field, while France's Sorbonne Universite and Institut National de la Sante et de la Recherche Medicale (Inserm) led in publication volume among academic institutions. Debiec Hanna stood out as the most prolific author. BMC Nephrology had the highest number of publications, making it the most favored journal in the field. The article with the greatest co-citation intensity was "Primary Membranous Nephropathy," a review published in 2017. This study shows that there has been increasing interest in membranous nephropathy over the past 13 years. The most frequently encountered keywords were "membranous nephropathy" "nephrotic syndrome," and "glomerulonephritis." Analysis of emerging terms indicated that "a2 receptor antibody," "domain containing 7a," and "t cell" may remain prominent subjects of research in the forthcoming years. The findings highlight key research trends and areas of interest that can inform researchers, clinicians, and policymakers about the current state of MN research and help guide future research directions and clinical practice.

Analysis of Research Trends on Male Nurses in Korea

Analysis of Research Trends on Male Nurses in Korea

Analysis of Research Trends on the Digital Technologies Utilization in Physical Education: Cross-sectional Review Study with Key Word Network Analysis

Objectives: The development of digital technologies has brought about innovation in teaching methodsin the field of physical education. In this study, we analyzed the status of digital technology utilization inphysical education using keyword network analysis. Methods: We employed KNA to examine researchtrends in digital technology utilization in physical education. The analysis was divided into the networkcharacteristics and centrality. This study spans 10 years, from 2015 to 2024. Results: The most used digitaltechnology was “virtual reality.” The use of digital technology has been found to enhance participants’“motivation,” and facilitate the learning of “physical activity” and “motor skills.” This use is acting as a “teachinginnovation.” Conclusion: This study is academically significant as it represents the first effort to establish acomprehensive knowledge framework on digital transformation in physical education through a structuredanalysis of digital technology applications. The findings reveal the current trends and key technologies,such as virtual reality and mobile applications, that are shaping physical education. These insights arecrucial for understanding how digital technologies can enhance teaching methods, improve studentengagement, and facilitate personalized learning experiences. This study provides practical guidelines foreducators and policymakers on integrating digital technologies effectively into physical education curricula.

Analysis of Research Trends in Maritime Communication

Analysis of Research Trends in Maritime Communication

Analysis of Research Trends and Developments in Trade Unions and Labor Relations Based on CiteSpace

Analysis of Research Trends and Developments in Trade Unions and Labor Relations Based on CiteSpace

Analysis of the Current Situation and Trends in Research on Comprehensive Practical Activities in Chinese Primary Schools from 2001 to 2023

Analysis of the Current Situation and Trends in Research on Comprehensive Practical Activities in Chinese Primary Schools from 2001 to 2023

Analysis of Hotspots and Trends in Industrial Cluster Research Based on CiteSpace Visual Analysis

Analysis of Hotspots and Trends in Industrial Cluster Research Based on CiteSpace Visual Analysis

Visual analysis of hotspots and trends in long COVID research based on bibliometric

After severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, a series of symptoms may persist for a long time, which is now called long COVID. It was found that long COVID can affect all patients with COVID-19. Therefore, long COVID has become a hot topic. In this study, we used the WOS database as a sample data source to conduct a bibliometric and visual analysis of 1765 long COVID articles over the past three years through VOSviewer and R package. The results show that countries/authors in Europe and The United States of America contribute most of the articles, and their cooperation is also the most active. Keyword co-occurrence identified four clusters, with important topics including the mechanism, clinical symptoms, epidemiological characteristics, and management/treatment of long COVID. Themes such as "cognitive impairment", "endothelial dysfunction", "diagnosis", and "biomarkers" are likely to be the focus of new attention in the coming period. In addition, we put forward the possible research opportunities on long COVID for researchers and practitioners to facilitate future research.

Analysis of football research trends using text network analysis.

This study was aimed to identify football research trends in various periods. A total of 30,946 football papers were collected from a representative academic database and search engine, the 'Web of Science'. Keyword refinement included filtering nouns, establishing synonyms and thesaurus, and excluding conjunctions, and the Cyram's Netminer 4.0 software was used for network analysis. A centrality analysis was conducted by extracting the words corresponding to the top 2% of the main research topics to obtain the degree and eigenvector centralities. The most frequently mentioned research keywords were injury, performance, and club. Keyword performance showed the highest degree centrality (0.294) and keyword world and cup showed the highest eigenvector centrality (0.710). The keyword with the highest eigenvector degree changed from injury in the 1990s and world in the 2000s to cup since the 2010s. Although various studies on football injuries have been conducted, research on the sport itself has recently been conducted. This study provides fundamental information on football trends from research published over the past 30 years.

Comparative Study of the Chinese and Foreign Digital Home: A Visual Analysis of Research Hotspots and Trends Using CiteSpace

Comparative Study of the Chinese and Foreign Digital Home: A Visual Analysis of Research Hotspots and Trends Using CiteSpace

Cyber Security Trends in Education: A Scientometric Study

This paper presents a study on the quantitative analysis of global research trends in cybersecurity in education, focusing on 136 documents published between 2018 and 2022 retrieved from the Web of Science database. Various quantitative indicators were calculated and tabulated, and different graphs were plotted to understand growth patterns, citations with H-Index, country-wise contributions, affiliations, and other aspects. The study found the United States of America has the highest number of publications on cybersecurity in education research. Based on this, the authors suggest that Indian institutions should prioritize cybersecurity in education and strategize for the future with effective collaborations. The best defense strategy in cyberspace is preventive measures supported by continuous research efforts.

数字赋能国内研究热点及趋势分析

数字赋能国内研究热点及趋势分析

Analysis of research hotspots and trends in pediatric ophthalmopathy based on 10 years of WoSCC literature.

Ophthalmopathy occurring in childhood can easily lead to irreversible visual impairment, and therefore a great deal of clinical and fundamental researches have been conducted in pediatric ophthalmopathy. However, a few studies have been performed to analyze such large amounts of research using bibliometric methods. This study intended to apply bibliometric methods to analyze the research hotspots and trends in pediatric ophthalmopathy, providing a basis for clinical practice and scientific research to improve children's eye health. Publications related to pediatric ophthalmopathy were searched and identified in the Web of Science Core Collection (WoSCC) database. Bibliometric and visualized analysis was performed using the WoSCC analysis system and CiteSpace.6.2.6 software, and high-impact publications were analyzed. This study included a total of 7,177 publications from 162 countries and regions. Of these, 2,269 from the United States and 1,298 from China. The centrality and H-index were highest in the United States at 0.27 and 66, respectively. The University of London and Harvard University had the highest H-index at 37. Freedman,Sharon F published 55 publications, with the highest H-index at 19. The emerging burst keyword in 2020-2023 was "eye tracking," and the burst keywords in 2021-2023 were "choroidal thickness," "pediatric ophthalmology," "impact" and "childhood glaucoma." Retinopathy of prematurity, myopia, retinoblastoma and uveitis in juvenile idiopathic arthritis were the main topics in the high-impact publications, with clinical studies in the majority, especially in retinopathy of prematurity. Eye health in children is a research hotspot, with the United States publishing the largest number of papers and having the greatest influence in research on pediatric ophthalmopathy, and China coming in second. The University of London and Stanford University had the greatest influence. Freedman, Sharon F was the most influential author. Furthermore, "choroidal thickness," "pediatric ophthalmology," "impact," "childhood glaucoma" and "eye tracking"are the latest hotspots in the field of pediatric ophthalmopathy. These hotspots represent hot diseases, hot technologies and holistic concepts, which are exactly the research trends in the field of pediatric ophthalmopathy, providing guidance and grounds for clinical practice and scientific research on children's eye health.

Development Research and Industry Trend Analysis of Contemporary Innovative Culture Industry of Traditional Chinese Medicine from the Perspective of Economics

Development Research and Industry Trend Analysis of Contemporary Innovative Culture Industry of Traditional Chinese Medicine from the Perspective of Economics