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A guide for students in how to design, create, and use digital graphic organizers, from the most basic (timelines, pie charts, step-by-step charts) to the more complex and sophisticated (Venn diagrams, flow charts, KWHL charts).

Currently, the psychological problems of stroke patients are of great concern. It is a hot topic of clinical care research to analyze and discuss the current status and hot spots, frontiers and development trends of research on psychological distress of stroke patients, and to develop and implement psycho-social care programs to improve the quality of life of patients.However, there is an absence of visual overviews to assess the published literature systematically. The Web of Science (WOS) database was used to search the relevant literature in this field, spanning the period 2009-2023, and the countries, institutions, and research keywords in this field were visualized and analyzed by CiteSpace analysis software. An analysis of 416 papers found that the overall trend of psychological distress in stroke patients was increasing, and the research hotspots were mainly focusing on the relationship between different risk factors and psychological distress in stroke patients, psychological distress in stroke caregivers, positive psychology in stroke patients, and interventions on psychological distress in stroke patients. In the future, the research population may gradually shift to stroke caregivers, and the research focus will be on developing and studying scales. Visual analysis of psychological distress studies in stroke patients can provide strategies for clinical interventions and broaden thinking about clinical care.

In recent years, with the massive growth of data, the world today has entered the era of big data. Big data has brought tremendous value to all fields of today’s society, and it has also brought enormous challenges, which has attracted great attention from all walks of life. Analyze and forecast the research hotspots and future development trends in the field of big data, and understand the development changes and priorities in the field of big data research, which will play a significant role in promoting the development of social development and scientific research. In the era of big data, how to extract information from huge amounts of complex data and present complex information more clearly and clearly, the most effective way is to use visualization technology. The article uses the information visualization software Citespace to study the data related to big data in the Web of Science and CNKI database from 2008 to 2017 for 10 years, from macro to micro to the representative countries of the literature, keywords and co-cited documents. Through visualization analysis, the article clarifies the key research directions, key documents and hot spot frontiers in the field of big data research, forecasts the future development trends in this field, and compares the research situation at home and abroad, in order to provide readers and other researchers with certain reference and help.

[This corrects the article DOI: 10.3389/fimmu.2023.1034755.].

Corrosion had aroused extensive concern and attention because it was an unavoidable problem for marine equipment and facilities in service. However, the current status and development trend of marine environment corrosion research had seldom been systematically studied. Therefore, it was encouraged to use bibliometrics and information visualization analysis methods to conduct bibliometric analysis of related publications in the field of marine environment corrosion based on HistCite, CiteSpace, and VOSviewer software programs. Compared with the traditional comments of researchers in this field, this research provided a direction for the development of quantitative analysis and visualization of marine environment corrosion on a large scale. The results showed that the overall focus of research in the field of marine environment corrosion continued to increase from 1900 to 2019. China had the highest publication productivity, the USA had the highest h-index value and the second highest average citations per item value, Materials Science was the most popular subject category, Corrosion Science was the main journal and Melchers RE was the author with the most output contributions. This research also exhibited four hot spots in this field. In addition, this work could help new researchers to find research directions and identify research trends and frontiers in the field of marine environment corrosion by tracing the research hotspots of topic categories, countries, institutions, journals, authors, and publications in recent years.

Transportation sector has become a major contributor to the escalation of carbon emissions and subsequent climate change. In this study, a bibliometric analysis was conducted using CiteSpace on published papers (1991–2022). Then a theoretical framework was proposed through traditional content analysis from three aspects: measurement, mechanism analysis, and low-carbon pathways analysis. The clustering results show that the research topics have involved mainly factor analysis, evaluation, system analysis, control measurement and pollutants. A further summary of the content of the relevant literature shows that there are five main accounting methods for measuring transportation carbon emissions (TCEs), which can be applied to different scenarios. Studies involving the spatio-temporal distribution of TCEs is limited and mainly focus on macroperspectives. The mechanism of TCEs involves three main aspects: system assessment, efficiency measurement, and driver analysis, which serve to identify the internal patterns of TCEs. Finally, the outlook regarding TCEs is presented.

PurposeThe application of artificial intelligence chatbots is an emerging trend in educational technology studies for its multi-faceted advantages. However, the existing studies rarely take a perspective of educational technology application to evaluate the application of chatbots to educational contexts. This study aims to bridge the research gap by taking an educational perspective to review the existing literature on artificial intelligence chatbots.Design/methodology/approachThis study combines bibliometric analysis and citation network analysis: a bibliometric analysis through visualization of keyword, authors, organizations and countries and a citation network analysis based on literature clustering.FindingsEducational applications of chatbots are still rising in post-COVID-19 learning environments. Popular research issues on this topic include technological advancements, students’ perception of chatbots and effectiveness of chatbots in different educational contexts. Originating from similar technological and theoretical foundations, chatbots are primarily applied to language education, educational services (such as information counseling and automated grading), health-care education and medical training. Diversifying application contexts demonstrate specific purposes for using chatbots in education but are confronted with some common challenges. Multi-faceted factors can influence the effectiveness and acceptance of chatbots in education. This study provides an extended framework to facilitate extending artificial intelligence chatbot applications in education.Research limitations/implicationsThe authors have to acknowledge that this study is subjected to some limitations. First, the literature search was based on the core collection on Web of Science, which did not include some existing studies. Second, this bibliometric analysis only included studies published in English. Third, due to the limitation in technological expertise, the authors could not comprehensively interpret the implications of some studies reporting technological advancements. However, this study intended to establish its research significance by summarizing and evaluating the effectiveness of artificial intelligence chatbots from an educational perspective.Originality/valueThis study identifies the publication trends of artificial intelligence chatbots in educational contexts. It bridges the research gap caused by previous neglection of treating educational contexts as an interconnected whole which can demonstrate its characteristics. It identifies the major application contexts of artificial intelligence chatbots in education and encouraged further extending of applications. It also proposes an extended framework to consider that covers three critical components of technological integration in education when future researchers and instructors apply artificial intelligence chatbots to new educational contexts.

�?Recent advances in promising CCUS technologies are assessed. �?Research status and trends in CCUS are visually analyzed. �?Carbon capture remains a hotspot of CCUS research. �?State-of-the-art capture technologies is summarized. �?Perspective research of carbon capture is proposed Carbon capture, utilization and storage (CCUS) technologies play an essential role in achieving Net Zero Emissions targets. Considering the lack of timely reviews on the recent advancements in promising CCUS technologies, it is crucial to provide a prompt review of the CCUS advances to understand the current research gaps pertained to its industrial application. To that end, this review first summarized the developmental history of CCUS technologies and the current large-scale demonstrations. Then, based on a visually bibliometric analysis, the carbon capture remains a hotspot in the CCUS development. Noting that the materials applied in the carbon capture process determines its performance. As a result, the state-of-the-art carbon capture materials and emerging capture technologies were comprehensively summarized and discussed. Gaps between state-of-art carbon capture process and its ideal counterpart are analyzed, and insights into the research needs such as material design, process optimization, environmental impact, and technical and economic assessments are provided.

Background As the complexity and diversity of the percutaneous coronary intervention (PCI) are being explored and reported, burgeoning research has progressed in this field. However, there is no comprehensive analysis available on PCI-related studies published in the literature. This study aimed to analyze and visualize the changes of scientific output regarding prognosis of coronary heart disease (CHD) after PCI over the past 20 years and to reveal the knowledge domain and development trends in this field by using CiteSpace software. Methods Relevant articles published over the period 2004–2022 were retrieved from the Web of Science Core Collection database. After manual selection, qualified documents were included and recorded with the information of their title, abstract, keyword, author, descriptor, citation, identifier, publishing year and publishing organization. We transferred the data to CiteSpace V5.8.R2 (Version 5.8.R2) to draw knowledge maps and to conduct co-occurrence analysis, cluster analysis, timeline analysis, burst term detection and citation analysis. Results A total of 14,699 literature records were found relating prognosis of CHD after PCI in the past 20 years (2004–2022), including 14,212 original articles and reviews, and they were published in 153 different journals. Publication production has increased annually and a total of 1182 authors, 796 institutes and 147 countries have contributed to these publications. Moreover, the most representative author was Gregg W Stone from the CardioVascular Research Foundation (CVRF) with 368 publications, whose team mainly focused on exploring the efficacy and safety of revascularization and the characteristics of susceptible population. The global productivity ranking was led by the USA with 3326 published papers, followed by Italy (n = 1355), Japan (n = 1080), China (n = 1075) and Germany (n = 937). And the keywords of these publications were “percutaneous coronary intervention” (n = 2271), “outcome” (n = 1756), “mortality” (n = 1730) and “impact” (n = 1334). Other commonly-used words were “predictor” (n = 1324), “intervention” (n = 1310), “angioplasty” (n = 1299), “risk” (n = 1144), “acute myocardial infarction” (n = 1136) and “artery disease” (n = 1098). Cluster analysis showed that 15 high connected clusters were generated with a modularity Q of 0.831 and a weighted mean silhouette of 0.9388 by applying the log-likelihood ratio algorithm, and the top 5 clusters were #0 optical coherence tomography, #1 dual antiplatelet therapy, #2 bleeding, #3 clopidogrel and #4 thrombus aspiration. Furthermore, the frontiers in the field of prognosis of CHD after PCI mainly involved “decision making”, “reperfusion”, “angioplasty”, “balloon”, “unstable angina”, “dual antiplatelet therapy”, “cardiac surgical score”, “restenosis”, “reperfusion”, “thrombolytic therapy”, etc. Conclusions To sum up, efficacy and safety of different types of stents, the risk factors of restenosis and thrombotic events after PCI, early risk assessment, and secondary prevention and complications of patients with CHD after PCI were research hotspots and frontier topics in the area by bibliometric analysis. The results could provide a comprehensive overview of the research hotspots and frontier topics relating prognosis of CHD after PCI, promoting a better understanding of the knowledge domain and development trends in this field during the past 20 years.

[This corrects the article DOI: 10.3389/fnins.2025.1506566.].