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Alzheimer's disease is the most common cause of dementia. It is an increasingly serious global health problem and has a significant impact on individuals and society. However, the precise cause of Alzheimer's disease is still unknown. In this study, 11,748 Web-of-Science-indexed manuscripts regarding Alzheimer's disease, all published from 2015 to 2019, and their 693,938 references were analyzed. A document co-citation network map was drawn using CiteSpace software. Research frontiers and development trends were determined by retrieving subject headings with apparent changing word frequency trends, which can be used to forecast future research developments in Alzheimer's disease.

BackgroundThe neuroimmune axis plays a crucial role in maintaining pulmonary homeostasis and influencing disease outcomes. Although significant progress has been made in this interdisciplinary field, the research remains scattered, and a unified understanding is still lacking. This study applies bibliometric techniques to delineate the knowledge landscape, examining its dynamics and structural features. The objective is to establish a systematic framework for fostering disciplinary consensus and directing future research directions.MethodsData for the primary bibliometric analysis and visualization were drawn from the Science Citation Index Expanded within the Web of Science Core Collection. Visualization was performed using VOSviewer and CiteSpace. To ensure the robustness and validity of our findings, a complementary dataset was retrieved from PubMed for cross-database comparative analysis. The WoS dataset served as the basis for the main analytical and visual mapping processes, while the PubMed dataset was utilized to verify the consistency of key trends and patterns.ResultsUsing the WoS Core Collection, 2,171 publications were analyzed. Annual output rose steadily over the past decade, peaking at 280 articles in 2022 (R² = 0.9315). The United States led with 699 publications, an H−index of 81 and 39.12 average citations, followed by China (n=547). At the institutional level, the University of California system was most productive (n=62), while Harvard University showed the greatest impact (4,652 total citations, H−index=31); collaboration analysis revealed a core-periphery network centered on Harvard Medical School, with Shanghai Jiao Tong and Fudan University increasing their collaborative activity. Research hotspots centered on neuroimmunity, notably neuropeptides and autonomic regulation in asthma, and have expanded post−COVID to neuro−pulmonary complications. Cross−database validation with PubMed (1,970 articles) confirmed high consistency in publication trends and core topics.ConclusionThis study is the first to systematically analyze the knowledge structure and developmental trajectory of neuroimmunology in pulmonary diseases from 2015 to 2024. The analysis clarifies the leading position of USA and the rise of China and other emerging contributors. Cross−database validation supports the robustness of these findings. Collectively, these results deepen comprehension of the field’s knowledge framework and furnish empirical guidance for future research priorities and allocation of resources.

This study offers a systematic review of academic research on platforms in management, business and economics. By using two visualization tools named VOSviewer and CiteSpace, we analyzed 619 articles on platform research with associated 23,093 references from the Web of Science database. We have discerned the most impact publications, authors, journals, institutions and countries in the platform research. In addition, we have explored the structures of the cited references, cited authors and cited journals to further understand the theoretical basis of the platform research. Moreover, by evolution analysis through CiteSpace and co-occurrence analysis through VOSViewer, we explored the evolution process of platform research and predicted the future development trends. The results conjunctively achieved by VOSviewer and CiteSpace will enhance understanding of platform research and enable future developments for both theorists and practitioners.

[This corrects the article DOI: 10.3389/fimmu.2022.1025861.].

Atherosclerosis (AS) is widespread and develops into circulatory system problems. T cells play an essential regulatory role in AS occurrence and development. So far, there is no bibliometric research on T cells and AS. To learn more about T cell and AS development, 4,381 records were retrieved from Web of Science™ Core Collection. Then, these records were scientometrically analyzed using CiteSpace and VOSviewer in terms of spatiotemporal distribution, author distribution, subject categories, topic distribution, references, and keywords. Our analysis provides basic information on research in the field, demonstrates that the field has stabilized over the past decade, and identifies potential partners for interested researchers. Current research hotspots in this field mainly include the inflammatory mechanism, immune mechanism, related diseases, and related cytokines of AS. B cell, mortality, inhibition, and monocyte represent the frontiers of research in this field, undergoing an explosive phase. We hope that this work will provide new ideas for advancing the scientific research and clinical application of T cell and AS.

Jianyi Li,1,2 Zejun Wei3 1Institute of Innovative Development, Shanghai Dianji University, Shanghai, People’s Republic of China; 2Medical Technology Department, Guizhou Nursing Vocational College, Guiyang, Guizhou, People’s Republic of China; 3School of Sociology, Guizhou Minzu University, Guiyang, Guizhou, People’s Republic of ChinaCorrespondence: Jianyi Li, Email lijianyikf@foxmail.comBackground: Immigrants’ health education (IHE) plays a critical role in improving the health status of immigrant populations, reducing public health risks, and promoting social integration. Over the past decade, IHE has emerged as a prominent research topic, with numerous studies exploring its specific characteristics; however, comprehensive overviews remain scarce. A detailed and systematic synthesis is needed to better understand the knowledge structure, thematic evolution, current research hotspots, and emerging trends in IHE.Methods: A bibliometric approach was adopted to analyze the knowledge structure, collaborative relationships, research status, and developmental trends in IHE. CiteSpace was used as the tool; the study further constructed a comprehensive knowledge framework for IHE, identifying future research directions and enhancing understanding of the field.Results: IHE research has developed rapidly, with 2984 publications over the past 20 years. Despite the complexity of regional and institutional collaborations, the United States has taken a leading role, accounting for 1196 regional collaborations with a centrality score of 0.2. Institutionally, the University of California System led with 196 collaborations. Journals with high co-citation frequencies generally showed higher impact factors; for instance, Social Science & Medicine was co-cited 1212 times with an impact factor (IF) of 5.2, and only two of the top ten journals had a 5-year IF below 3. IHE research includes medicine, education, and public health. The emergence of keywords such as “social determinants of health”, “overweight”, and “health equity” highlights the field’s increasing specialization.Conclusion: Over the past twenty years, IHE publications have increased significantly, spanning various journal categories and journals. While institutional and regional collaborations were relatively strong, the authors conducted research independently. The findings indicate that IHE remains rich in research opportunities. Moreover, the results of this study offer a theoretical foundation for policymakers and a guide for advancing interdisciplinary practices in IHE.Keywords: immigrant, health education, public health, CiteSpace, bibliometrics

[This corrects the article DOI: 10.3389/fimmu.2024.1451742.].

【Objective】Fertigation is a key technique for ensuring sustained yield and resource use efficiency of orchards and has become a global research focus. This paper provides a systematic overview on the current status, research hotspots and emerging trends in orchard fertigation.【Method】Literature from the China National Knowledge Infrastructure (CNKI) and Web of Science (WOS) databases was analyzed using VOSviewer and CiteSpace for visualization. The analysis focused on the number of publications, lead institutions, contributing countries, and frequently used keywords in orchard fertigation.【Result】The number of publications in both Chinese and English journals has shown a steady increase, with horticultural journals publishing the most articles. However, the number of publications and the level of collaboration among Chinese institutions and authors remain relatively low. Among the top ten most productive institutions in English journals, two are from China and four from the United States. The United States leads in terms of number of publication, total citations, and H-index. Regarding international collaboration, the United States is at the top of the ranking, followed by China. Research areas in papers published in Chinese journals have evolved from evaluating technical applications to innovating technologies aimed at achieving precision irrigation and fertilization, with water-saving and digitalization emerging as top research areas. In contrast, research areas in English journals have shifted from soil fertility to water use efficiency, and current hotspots include gas exchange and nitrogen absorption and distribution. Additionally, there is growing emphasis on protecting ecological functions and minimizing environmental impact in the use of fertigation.【Conclusion】Orchard fertigation remains a prominent research hotspot. Future advancements in fertigation technology are expected to move toward more scientific, intelligent, automated, and precision control.

Climate change and intensified human activities have exacerbated watershed risks in China, necessitating resilience enhancement. Existing reviews remain limited in systematic integration and watershed-scale focus. To bridge this gap, this study conducts the first comprehensive bibliometric review using CiteSpace, systematically analyzing 443 core publications from CNKI Core Database (1998–2025), following PRISMA guidelines. Bibliometric indicators and visualization graphs were employed to systematically analyze research progress, research fields, and research hotspots. The analysis identified three evolutionary phases: the Emergence Stage (1998–2005, 29 publications), Variable Growth Stage (2006–2017, 161 publications), and Rapid Growth Stage (2018–2025, 253 publications). Keyword co-occurrence analysis identified ten major research clusters. The study highlights a theoretical predominance of static frameworks and a methodological reliance on subjective weighting approaches in over 50% of the assessments. By synthesizing existing research, a key innovative contribution is the proposal of a spatiotemporal coupling framework that integrates temporal resilience phases with spatial hierarchies spanning nodal, connectivity, and systemic scales. This review maps Chinese watershed resilience research, diagnosing spatial concentration, methodological limitations, and collaboration gaps. These findings advance the theoretical understanding of resilience evolution in China's unique context and provide evidence-based guidance for enhancing methodological rigor and integrating resilience into watershed governance practices.

As a revolutionary technology, terrestrial laser scanning (TLS) is attracting increasing interest in the fields of architecture, engineering and construction (AEC), with outstanding advantages, such as highly automated, non-contact operation and efficient large-scale sampling capability. TLS has extended a new approach to capturing extremely comprehensive data of the construction environment, providing detailed information for further analysis. This paper presents a systematic review based on scientometric and qualitative analysis to summarize the progress and the current status of the topic and to point out promising research efforts. To begin with, a brief understanding of TLS is provided. Following the selection of relevant papers through a literature search, a scientometric analysis of papers is carried out. Then, major applications are categorized and presented, including (1) 3D model reconstruction, (2) object recognition, (3) deformation measurement, (4) quality assessment, and (5) progress tracking. For widespread adoption and effective use of TLS, essential problems impacting working effects in application are summarized as follows: workflow, data quality, scan planning, and data processing. Finally, future research directions are suggested, including: (1) cost control of hardware and software, (2) improvement of data processing capability, (3) automatic scan planning, (4) integration of digital technologies, (5) adoption of artificial intelligence.