Topic Evolution Research Articles

Examining the ability of big data analytics to investigate financial reporting quality: a comprehensive bibliometric analysis

Purpose This study aims to examine the ability of big data analytics (BDA) to investigate financial reporting quality (FRQ), identify the knowledge base and conceptual structure of this research field and explore BDA techniques used over time. Design/methodology/approach This study uses a comprehensive bibliometric analysis approach (performance analysis and science mapping) using software packages, including Biblioshiny and VOSviewer. Multiple analyses are conducted, including authors, sources, keywords, co-citations, thematic evolution and trend topic analysis. Findings This study reveals that the intellectual structure of using BDA in investigating FRQ encompasses three clusters. These clusters include applying data mining to detect financial reporting fraud (FRF), using machine learning (ML) to examine FRQ and detecting earnings management as a measure of FRQ. Additionally, the results demonstrate that ML and DM algorithms are the most effective techniques for investigating FRQ by providing various prediction and detection models of FRF and EM. Moreover, BDA offers text mining techniques to detect managerial fraud in narrative reports. The findings indicate that artificial intelligence, deep learning and ML are currently trending methods and are expected to continue in the coming years. Originality/value To the best of the authors’ knowledge, this study is the first to provide a comprehensive analysis of the current state of the use of BDA in investigating FRQ.

Trends in research on cochlear implantation with inner ear malformation: a bibliometric and visualization analysis from 1986 to 2024.

The aim of this study was to conduct a bibliometric and visualization analysis of research on cochlear implantation (CI) for inner ear malformations (IEMs) from 1986 to 2024. A comprehensive literature search was performed using the Web of Science Core Collection Database, resulting in the identification of 431 relevant publications. Various data analysis and visualization tools, including VOSviewer, CiteSpace, and Bibliometrix, were utilized to analyze annual publication outputs, countries/regions and institutions, authors, journals and studies, keywords, and theme evolution. The study revealed an overall increasing trend in research output on CI for IEMs, with significant contributions from countries such as the United States, China, Turkey, Germany, and Italy. The analysis also identified key authors, research teams, journals, and studies that have made substantial contributions to the field. Furthermore, the study highlighted important research hotspots and trends, such as the classification of IEMs, outcomes of CI for IEMs, and the management of pediatric patients with IEMs. The findings of this study provide a comprehensive overview of the research landscape surrounding CI for IEMs. The results serve as a basis for future research topic selection and emphasize the need for enhanced international collaboration and the publication of high-impact research to further advance this field.

Global current research status and future hotspots in osteoporotic fracture based on bibliometric assessment and visualization techniques.

In the past decade, the evolution of themes in the field of osteoporotic fractures has changed from epidemiology and prediction of long-term morbidity, risk assessment of osteoporotic fractures, and zoledronic acid and denosumab in the treatment of osteoporosis to treatment guidelines for osteoporosis and the side effects caused by anti-osteoporotic drugs. To understand the trends and hotspots in osteoporotic fracture research. Original articles were retrieved between January 1, 2010, and December 31, 2019, from the Web of Science Core Collection database. CiteSpace software facilitated the analysis and visualization of scientific productivity and emerging trends. Nine studies were identified using bibliometric indices, including citation, centrality, and sigma value, which might indicate a growing trend. Through clustering, we identified six major hot subtopics. Using burst analysis, top-5 references with the strongest bursting strength after 2017 were identified, indicating a future hotspot in this field. Current hot subtopics in osteoporotic fracture research include atypical femoral fractures, androgen deprivation therapy, denosumab discontinuation, hip fractures, trabecular bone score (TBS), and bone phenotype. Management and prevention of secondary fractures in patients with osteoporotic fractures, TBSs, and long-term administration strategy for zoledronic acid are expected to become research hotspots.

Natural agents that are neuroprotective against mitochondria: a bibliometric-based research mapping 1998–2024, from cells to mitochondria

Introduction Mitochondria are cell organelles that function as the cell’s main power plant, producing ATP, the main energy molecule in cells. Mitochondria play an important role in the context of neuroprotection, and mitochondrial function has been implicated in various neurodegenerative diseases, including Alzheimer’s, Parkinson’s, and amyotrophic lateral sclerosis (ALS). Recent research in the field of neuroprotection has focused on the development of therapies that target mitochondria. Natural ingredients have long been used in traditional medicine and show potential as neuroprotective agents. Methods In this work, a literature review methodology is employed to gather data from the Scopus database using the keywords natural agents, herb*, neuroprotective, and mitochondria. The data were analyzed using Biblioshiny and VOSviewer software to produce visualizations and bibliometric maps. We conducted quantitative and qualitative analyses. Results The research trend found are documents by year, most global cited document, most relevant sources, A factorial map illustrating the leading contributors of papers, documents by author, documents by country or territory, documents by subject area, network visualization, overlay visualization of scopus database using vosviewer, density visualization, thematic map, thematic evolution, cluster analysis, qualitative analysis, and word cloud. Conclusions Natural Agent Neurotropik is a natural substance that influences the brain’s nervous system and peripheral nervous system, enhancing cognition, mood, and brain function. Derived from herbs, spices, and herbal products, it has advantages over other natural agents in energy production, brain biogenesis, and neuroprotection.

Educational Resilience Through the Armed Conflicts: A Bibliometric Analysis

This article conducts a bibliometric analysis to examine the scholarly discourse on educational resilience in the context of armed conflicts. It has explored how educational systems adapt, persist, and recover in adversity. The Biblioshiny App, the R programme Bibliometrix, the VOSviewer 1.6.16, and the Scopus tools were utilised. The analysis spans publications from 2000 to 2024, focusing on keywords such as “educational resilience”, “education recovery”, “armed conflicts”, “war”, “violence”, and “military conflicts”. The scope of the analysis was restricted to conference proceedings, books, and articles; other kinds of publications were not included. Given the wide range of geographic origins implied by the emphasis on emerging and frontier markets, no language limits were placed. There were no limitations on the research’s scope because the subject is transdisciplinary. 2,797 papers were chosen for analysis from the Scopus database based on these criteria. The study highlights the evolution of research themes, noting significant growth in publication activity post-2014 and topic changing post-2017, with notable contributions from researchers in conflict-affected regions. An analysis of the dynamics of public interest in the topic of educational recovery, conducted with the help of Google Trends, showed that the peak of interest fell in January 2022 (educational rehabilitation after the pandemic). More than 70% of the papers fall into the top three subject areas ‒ Social Sciences, Medicine, and Arts and Humanities ‒ which confirms the interdisciplinary nature of research on educational resilience in crisis situations. Most scientists on this topic are affiliated with the United States, the United Kingdom, India, China, and Australia. The United States and the United Kingdom have the longest histories of collaborative publications. The co-authorship analysis revealed that the most powerful regional cooperation network is formed by Australia, China, Hong Kong, India, Japan, New Zealand, the Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The clustering of studies by keywords showed that the most powerful is a cluster of studies devoted to the impact of conflict on educational systems, resilience and recovery strategies, and political implications for education in emergencies.

Bibliometric Analysis of Publications on Action Recognition; Convolutional Neural Network; Video Surveillance During 2011-2021

Action recognition based on convolutional neural networks (AR-CNN) has been developing rapidly in recent years. It is of great significance to conduct a deep analysis to understand the recent development of AR-CNN. However, a limited study examining the research status of this field could be found. Therefore, this study aims to quantitatively assess the publications related to the SciVal topic "Action Recognition; Convolutional Neural Network; Video Surveillance (T.561)" in computer vision research. This study focused on six aspects: literature distribution characteristics analysis, the development trend, citation analysis, collaborative analysis, keyword analysis and thematic evolution, using VOSviewer and Bibliometrix. The relevant publications were retrieved from Scopus in the period 2012–2021. A total of 6633 publications were identified by 9088 different authors, 62% were conference papers, and 35% were research articles. China and the USA contributed 39.7 % and 17.9 % of the total publications, respectively. The authors' production according to Price's Law was inconsistent but consistent according to Lotka's Law. Ling Shao was the most productive author, with 48 papers (%0.7). Chinese Academy of Sciences was the most productive affiliation, with 259 papers (%3.9). The first Bradford site consisted of Computer Science Lecture Notes with 617 publications. A moderately significant correlation was revealed between the country's publications and GDP per capita. The overall results show that the number of AR-CNN-related documents has increased significantly in recent years, with rapid growth from 2016. Although publications on AR-CNN were published mainly in European journals, China led the scientific production.

Scientometric Analysis of Global Scientific Production on Dragon Fruit in the Food Nutrition Industry: Dynamicity, Emerging Patterns, and Thematic Evolution

The objective of the study was to perform a scientometric analysis of the scientific production of dragon fruit in the food industry. A descriptive study was conducted based on the scientific production published between January 2018 and April 2024. Papers were identified through a search in the Scopus database, resulting in 266 manuscripts. Several scientometric indicators were used to analyse the scientific output, including author, affiliation, country, academic output, citations per publication, field-weighted citation impact, and h-index. Despite an annual growth rate of −14.72%, the average age of the papers was 2.91 years, with an average of 9015 citations per paper. The papers contained 14,614 references, 1792 Keywords Plus, and 907 Author’s Keywords. There were 1273 authors involved, with 12 authors of single-author papers. International collaborations accounted for 23.31% of the collaborations. The papers comprised 175 articles, 2 books, 21 book chapters, 28 conference papers, 2 conference reviews, 2 errata, and 36 reviews. This study provides a comprehensive view of the scientific production in this field of study, allowing the identification of patterns and trends in the scientific literature. The results highlight the importance of dragon fruit in the food industry and underscore the need for future research in this field.

Mapping research in the Journal of Innovation & Knowledge to sustainable development goals

This study critically evaluates the contributions of the Journal of Innovation & Knowledge (JIK) toward advancing research aligned with the Sustainable Development Goals (SDGs), employing the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol for systematic literature review. We meticulously examine JIK’s interdisciplinary research patterns, thematic focuses, and topic evolution, emphasizing the journal’s engagement with SDG 9 (Industry, Innovation, and Infrastructure), SDG 8 (Decent Work and Economic Growth), and SDG 4 (Quality Education). By utilizing advanced techniques such as co-citation mapping and BERTopic modeling, this study identifies six major topics within the JIK, aligning with specific SDGs: “EcoTech Revolution” highlights ‘green technology,’ “Entrepreneurial Innovation” focuses on ‘innovation management,’ “Economy 4.0” centers on ‘digital transformation,’ “Effectual Innovation” involves ‘technological innovation capability,’ “Collaborative Economy” addresses ‘sharing economy sustainability,’ and “Green Innovation” explores ‘eco-innovation.’ These topics underscore JIK’s role in advancing interdisciplinary research across key areas such as technology, entrepreneurship, the digital economy, practical innovation applications, collaborative consumption models, and environmental sustainability. Our findings highlight gaps, particularly in addressing SDG 5 (Gender Equality) and SDG 15 (Life on Land), presenting opportunities for JIK to diversify its research agenda toward a more inclusive sustainability discourse. Contributions from a global array of authors underscore JIK’s international impact and its role in fostering diverse sustainability perspectives.

Using Knowledge Graphs to Analyze the Characteristics and Trends of Forest Carbon Storage Research at the Global Scale

Research on forest carbon storage (FCS) is crucial for the sustainable development of human society given the context of global climate change. Previous FCS studies formed the science base of the FCS field but lacked a macrolevel knowledge summary. This study combined the scientometric mapping tool VOSviewer and multiple statistical models to conduct a comprehensive knowledge graph mining and analysis of global FCS papers (covering 101 countries, 1712 institutions, 5435 authors, and 276 journals) in the Web of Science database as of 2022, focusing on revealing the macro spatiotemporal pattern, multidimensional research status, and topic evolution process of FCS research at the global scale, so as to grasp the status of global FCS research more clearly and comprehensively, thereby facilitating the future decision-making and practice of researchers. The results showed the following: (1) In the past three decades, the number of FCS papers indicated an increasing trend, with a growth rate of 4.66/yr, particularly significant after 2010. These papers were mainly from Europe, the Americas, and Asia, while there was a huge gap between Africa, Oceania, and the above regions. (2) For the research status at the national, institutional, scholar, and journal levels, the USA, with 331 FCS papers and 18,653 total citations, was the most active and influential country in global FCS research; the United States Forest Service topped the influential ranking with 4115 citations; Grant M. Domke and Jerome Chave were the most active and influential FCS researchers globally, respectively. China’s activity (237 papers) and influence (5403 citations) ranked second, and the Chinese Academy of Sciences was the most active research institution in the world. Currently, FCS research is published in a growing number of journals, among which Forest Ecology and Management ranked first in the number of papers (154 papers) and citations (6374 citations). (3) In recent years, the keyword frequency of monitoring methods, driving factors, and reasonable management for FCS has increased rapidly, and many new related keywords have emerged, which means that researchers are not only focusing on the estimation and monitoring of FCS but also increasingly concerned about its driving mechanism and sustainable development.

Improving grade 10 students’ performance using the contextualized learning resource material on the theory of evolution

This quasi-experimental study investigated the effectiveness of contextualization in teaching the hardest curricular content in biology – evolution. It tested a Contextualized Learning Resource Material (CLRM), a modular learning material developed by Norcio (2023), among two comparably similar heterogenous Grade 10 classes. The findings of the study showed that (a) the performance of the students under the comparison group, wherein the LM and the SLM were utilized, improved from a mastery level of “Low” to “Moving Towards Mastery”. On the other hand, the performance of the students in the experimental group, wherein the CLRM was utilized, improved from a mastery level of “Low” to “Closely Approximating Mastery”; (b) there is a significant difference in the pre-test and post-test scores of the students both in the comparison group and experimental group, and (c) there is a significant difference between the post-test scores of Grades 10 students taught under the experimental group and the comparison group. Therefore, the CLRM should be used either with the LM and SLM or alone in the instruction for the topic evolution.

Bibliometric Analysis of Urban and Rural Economic Inequality

This bibliometric study provides a comprehensive analysis of the scholarly landscape surrounding research on economic inequality, utilizing VOSviewer to visualize the thematic clusterization, temporal trends, emerging research opportunities, and collaborative networks in the field. The analysis begins with the identification of key thematic areas, revealing a complex interplay between income inequality, urban-rural disparities, and their socioeconomic impacts. A temporal examination traces the evolution of research themes from foundational studies focusing on regional disparities to more comprehensive explorations of socioeconomic outcomes. Emerging research opportunities are identified in less explored areas, suggesting potential for significant contributions through novel investigations. Furthermore, the study delves into collaborative networks, highlighting the pivotal roles of central researchers and the impact of academic partnerships. This study not only maps out the current academic terrain but also proposes strategic directions for future research, aiming to enhance the understanding and resolution of economic inequalities.

Unraveling the dynamics of social governance innovation: A synergistic approach employing NLP and network analysis

Society, inherently a complex network system, necessitates an equally intricate approach towards social governance. This study aims to dissect the spatio-temporal evolution of social governance innovation themes and explore the value network relationships among multiple stakeholders in social governance. To achieve this, we employ natural language processing to analyze text data from 285 social governance innovation cases. This analysis allows us to delve into the progression of social governance innovation practice themes, discern inherent patterns and modes, and reveal their spatio-temporal characteristics. These insights form the basis for our proposed recommendations on policy-making and public service delivery to address public problems. Concurrently, we utilize the ERNIE-UIE model for transfer learning to extract entities related to social governance stakeholders from the cases. Our findings suggest that governance practices extending beyond the government to include all possible stakeholders, such as enterprises and civil society, are essential. When combined with social network analysis, we can illuminate the value network relationships among these multiple social governance stakeholders surrounding particular innovative practice themes. Our study sheds light on the increasing importance of public–private partnerships and the emergence of social organizations as key agents of influence within various domains of social governance.

Barriers to Digital Transformation in SMEs: Insights from a Bibliometric Analysis

This paper presents a comprehensive bibliometric analysis of the current research landscape concerning digital transformation in Small and Medium-sized Enterprises (SMEs). Through a series of VOSviewer visualizations, we identify major thematic clusters, emerging research trends, unexplored opportunities, and patterns of author collaboration within the field. Our findings reveal a strong initial focus on crisis management in response to the COVID-19 pandemic, which gradually shifted towards long-term strategic issues such as business model innovation, digitalization strategies, and international market expansion. The analysis highlights under-researched areas including specific business processes and implications of digital transformation in the manufacturing sector, suggesting fruitful avenues for future research. Additionally, the study maps the collaboration networks among scholars, uncovering both strong interconnections and potential gaps that offer opportunities for new scholarly partnerships. This paper contributes to the strategic knowledge on digital transformation in SMEs by outlining the evolution of research themes over time and suggesting directions for future research collaborations to enhance the digital resilience and competitiveness of SMEs.

Early language learning. A bibliometric analysis of the most influential articles (2010-2022)

The aim of this article is to analyse the evolution of research on language learning at early ages within the main collection of the Web of Science (2010 to 2022) and Scopus (2010 to 2022). To this end, a bibliometric study has been developed taking into consideration the following indicators: diachronic, geographical, authors and source productions. At the same time, an analysis of the structural development of the topics has been carried out on a sample of references from combined searches. The analyses carried out determine an exponential growth pattern in the scientific literature on early language and learning over the last two decades (2010-2022), a period that covers 87.2% of the current scientific production. In relation to the evolution of topics in the field, it is observed that current lines of research are focusing mainly on the results obtained in two areas: (1) Neurosciences and Speech Pathologies and (2) Psychology, Social Sciences and Technology, where the value of A/Y where higher, which indicates that both areas are the ones that have the greatest influence over time.

Organic food consumption: A bibliometric–content analysis

AbstractThe growing trend towards organic food consumption (OFC) due to health, environmental, and other concerns necessitates the need for systematic research in this area. Analyzing 783 articles listed in the Scopus database from 1991 to 2022, this systematic study was conducted with the most updated guidelines laid by avid and prominent researchers in the field of bibliometrics to review the evolution of trends and themes in OFC globally. The study synthesized the existing research on OFC and identified gaps in knowledge using performance analysis, science mapping, and content analysis. Purchase intentions, health consciousness, attitudes to OFC, the theory of planned behavior (TPB), green marketing, and environmental concerns emerged as the growing concepts across the themes and clusters in the recent period. Importantly, based on the analyzed literature, the study also maps out possible research topics for future research that could help improve the research trajectory in the OFC field. Overall, the study provides helpful resources for researchers, particularly new scholars, in the field of OFC.

Tracing the Evolution of E-Government: A Visual Bibliometric Analysis from 2000 to 2023

In the continuously evolving field of E-government, understanding the breadth and depth of academic research is crucial for advancing governmental digital transformation and policy development. This study employs visual bibliometric analysis, using the Web of Science database to map the evolution trajectory of E-government research from 2000 to 2023. By utilizing CiteSpace for a comprehensive examination of 4536 academic articles, this paper outlines the growth patterns and thematic evolution within the field. The development of the E-government field is delineated into four distinct phases: the budding period (2000–2003), the bottleneck period (2004–2014), the development period (2015–2018), and the growth period (2019–2023), which are each marked by unique thematic shifts and technological advancements. The research results reveal the transformation of research focus in different periods, from the initial focus on the technological means and the electronic transformation of government services, moving on to more complex issues such as E-government acceptance and government transparency and corruption, and ultimately to the current focus on innovation and smart cities. In addition, the paper also clarifies that the research boom that began in 2019 is driven by technological innovation opportunities, the improvement in infrastructure, and multidisciplinary research. By depicting these developmental stages and emerging trends, this study not only unveils past academic efforts but also forecasts future research directions, thereby providing valuable insights for researchers and policymakers aiming to understand and implement effective E-government strategies.

Research elevation of bank lending and technological innovation in the excess liquidity countries

This study examines the intellectual framework research in bank lending and technological innovation relationships in countries with high banking system liquidity. This study employs bibliometrics with R-studio tools and procedures to analyze documents regarding productions, collaborations, keyword occurrences, conceptual structure, and density and centrality occurrence's network. Combining data from the Web of Science and Scopus databases, this study obtained 939 documents from 527 sources with a significant opportunity for further elevation through combination with other themes. The development analysis based on the most related countries indicates that researchers from other countries have also conducted studies identified as having significant banking liquidity. Topic development and thematic evolution show that research on the role of bank lending on technological innovation evolves to environmental issues, with green credit as the most recent and emerging elaboration. For further direction, keywords in investment clusters can help elevate education, commerce, and impact clusters by combining them with research on government taxation, credit provision, sustainable development, and emission control themes.

Exploring hot topics and evolutionary paths in the Diagnosis-Related Groups (DRGs) field: a comparative study using LDA modeling

BackgroundThis study reviews the research status of Diagnosis-related groups (DRGs) payment system in China and globally by analyzing topical issues in this field and exploring the evolutionary trends of DRGs in different developmental stages.Methodss of relevant literature in the field of DRGs were extracted from the China National Knowledge Infrastructure (CNKI) database and the Web of Science (WoS) core database and used as text data. A probabilistic distribution-based Latent Dirichlet Allocation (LDA) topic model was applied to mine the text topics. Topical issues were determined by topic intensity, and the cosine similarity of the topics in adjacent stages was calculated to analyze the topic evolution trend.ResultsA total of 6,758 English articles and 3,321 Chinese articles were included. Foreign research on DRGs focuses on grouping optimization, implementation effects, and influencing factors, whereas research topics in China focus on grouping and payment mechanism establishment, medical cost change evaluation, medical quality control, and performance management reform exploration.ConclusionsCurrently, the field of DRGs in China is developing rapidly and attracting deepening research. However, the implementation depth of research in China remains insufficient compared with the in-depth research conducted abroad.

RESEARCH STATUS AND TREND OF LEARNING MOTIVATION IN ONLINE LEARNING BASED ON CITESPACE

In this study, CiteSpace software was used to visually analyze 177 literatures on online learning and learning motivation in the CNKI （China National Knowledge Infrastructure） database from 2016 to 2023. Firstly, the number of publications and subject distribution of these literatures are sorted out. Then, CiteSpace software is used to analyze the co-occurrence of high-frequency keywords and the evolution of research topics. In the process, several important trends and findings were uncovered. First, the amount of literature published on the topic of e-learning and learning motivation in China shows an inverted U-shaped growth trend, which indicates that this field still has great development potential in the future. Second, the development process of online learning and learning motivation research is divided into three stages: germination, slow growth and fluctuating growth. Third, the analysis finds that current research mainly focuses on the perspective of pedagogy, so future research can make breakthroughs in disciplines and methods, especially in exploring the influencing factors and stimulation strategies of learning motivation in online learning. The findings of this study provide an important reference and direction for future research.

The Progress and Trend of UAV Power Line Inspection: A Bibliometrics-based Visualization Analysis

<p> Background: The application of Unmanned Aerial Vehicle (UAV) is a major turning point in the history of power line inspection and is of increasing interest to a growing number of researchers. </p><p> Objective: This study aimed to clarify the research status, hotspots, and evolutionary trends of UAV power line inspection, to help researchers understand the dynamic evolution of research topics and provide guidance for future research directions. </p><p> Methods: 737 high-quality papers were collected from the Web of Science Core Collection (WoSCC) database from 2001 to 2023, and descriptive statistical analysis, cooperation network analysis, keyword co-occurrence analysis, keyword clustering analysis, and keyword citation burst analysis were conducted using VOSviewer and CiteSpace. </p><p> Results: The popularity of research in this field is increasing. Chinese academic institutions and scholars have made outstanding contributions. The level of cooperation between different countries, academic institutions, and scholars is low. The research on UAV power line inspection has a wide range of topics and obvious interdisciplinary characteristics, mainly focusing on fault detection and diagnosis, path planning, and the application of deep learning in intelligent inspection. The research hotspot and trend is the integration of artificial intelligence, deep learning, and modern information technology to achieve UAV autonomous intelligent inspection. Some of the challenges faced in the development of the field are also summarized and possible solutions are proposed. </p><p> Conclusion: This study provides a comprehensive and systematic review, and the results can provide a quick overview of the research status, hotspots, and evolutionary trends.