Search Results (906)

Alpinia oxyphylla Miquel is a perennial medicinal plant widely cultivated in the provinces of Fujian, Guangdong, and Hainan in China. The dried mature fruit of A. oxyphylla, officially recorded as Alpiniae Oxyphyllae Fructus in the pharmacopoeia of the People’s Republic of China (since 2012), is one of the four primary southern medicinal materials in traditional Chinese medicine (TCM). In TCM, the fruit is traditionally used to support kidney function, regulate urination, and alleviate gastrointestinal disorders such as diarrhea. Its continued use across Southeast Asia underscores its enduring ethnopharmacological relevance. The plant is rich in bioactive constituents, including terpenoids, flavonoids, diphenylheptanes, and sterols, which exhibit diverse biological activities, including antioxidant, anti-inflammatory, anticancer, neuroprotective, and gastrointestinal protective effects. Information on Alpinia oxyphylla was collected from multiple databases, including Web of Science, Google Scholar, PubMed, Baidu Scholar, ScienceDirect, CNKI, and the Pharmacopoeia of the People’s Republic of China. The search strategy included keywords related to A. oxyphylla, its chemical constituents, biological activities, pharmacological effects, traditional medicinal uses, and safety. A bibliometric analysis of 217 English-language publications (2014–2025) using CiteSpace revealed a marked increase in global research interest, with keyword clustering and burst analyses highlighting oxidative stress, Alzheimer’s disease, and cognitive enhancement as emerging research hotspots. Moreover, 692 patents were identified, demonstrating substantial technological innovation related to A. oxyphylla, particularly in essential oil formulations, functional foods, and health-promoting applications. Overall, this review integrates phytochemical, pharmacological, bibliometric, and patent perspectives to provide a holistic understanding of A. oxyphylla and its medicinal fruit, offering a solid scientific foundation for future research, standardization, and translational development. Full article

Background: Persistent Postural-Perceptual Dizziness (PPPD) is a chronic vestibular disorder that has been receiving more research attention lately. Nonetheless, there is a lack of systematic bibliometric overviews tracing the conceptual evolution, knowledge structure, and emerging research frontiers within this field. The utilization of bibliometric and visualization analyses can enhance the understanding of trends and central themes in PPPD research, offering valuable insights for future studies. Methods: Data were retrieved from the Web of Science Core Collection, yielding a final dataset of 370 bibliographic records (“DATA”). We employed CiteSpace, HistCite, the Alluvial Generator, and R software to conduct multi-dimensional statistical and visualization analyses on publication trends, collaborative networks (countries/institutions/authors), disciplinary distribution, citation bursts, and the evolution of keyword clusters. Results: Starting from 2005, there has been a notable increase in publication volume, reaching its peak in 2024. The United States and Germany are at the forefront of national collaboration, with the University of Munich and the Mayo Clinic being key research institutions. The research focus has transitioned from a primary emphasis on Psychiatry to a broader scope encompassing Neurosciences, Otorhinolaryngology, and General Medicine. Keyword analysis reveals a shift towards standardized terminology, transitioning from “phobic postural vertigo” to “diagnostic criteria” and “consensus documents”. Current research trends are centered around comorbidity mechanisms like “vestibular migraine”, therapeutic approaches such as “vestibular rehabilitation”, and quality of life assessments using the “dizziness handicap inventory”. The 2017 consensus document by the Bárány Society is highlighted as a pivotal publication with significant citation impact. Conclusions: The intellectual structure of the field, as revealed by this bibliometric analysis, has transitioned from a phenomenological description to a conceptual unification. The bibliometric analysis indicates that the field is currently in a conceptually stabilized stage characterized by a research focus on refining diagnostic precision and comorbidity exploration, while scholarly attention remains biologically exploratory regarding objective biomarkers and pathophysiological mechanisms. Full article

Powder coatings, as a widely used green surface treatment material, face significant combustion and explosion risks due to the simultaneous presence of high-concentration combustible dust clouds and electrostatic ignition sources in their application environments. With the advancement of new materials and emerging industrial sectors, research on powder coating explosions has become increasingly interdisciplinary, resulting in a somewhat fragmented knowledge base. To systematically reveal the knowledge structure, research hotspots, and development trends in this field, this study employs bibliometric methods based on 857 relevant publications retrieved from the Web of Science (WOS) Core Collection database between 2015 and September 2025. Using VOSviewer (Version 1.6.20) and CiteSpace (Version 6.4), the analysis examines institutional collaboration, journal distribution, author collaboration patterns, regional differences, co-citation relationships, knowledge foundations, and research frontiers. The results indicate that powder coating explosion research has gradually developed an integrated knowledge system centered on materials science, chemical engineering, and combustion science. Institutions from China, Russia, and India represent some of the most productive contributors in this field. Current research hotspots focus on the explosion mechanisms of powder coatings, explosion-proof materials, risk assessment, numerical simulation, and protective measures for emerging industrial applications. Future trends are expected to focus increasingly on intelligent explosion suppression systems, multi-scale coupling mechanisms, and international collaborative governance. This study provides a comprehensive knowledge map to support scientific planning and safety strategy development in powder coating explosion research. Full article

Against the backdrop of the global pursuit of carbon neutrality, research on coal pore structure has shifted from a single focus on coal mine safety to a dual orientation of hazard prevention and carbon sequestration, forming two distinct research directions worldwide. To clarify the evolutionary trajectory, research heterogeneity and integration paths of this field, this study systematically analyzes 722 core publications on coal pore structure from the CNKI and Web of Science core databases during 2015–2025, combining knowledge visualization analysis and systematic literature sorting (using CiteSpace as an auxiliary analysis tool). The results show that global research on coal pore structure has experienced three developmental stages (embryonic, developmental, and explosive growth) and entered an exponential growth phase after 2020, driven by the dual carbon goals. A clear research divergence has formed between regional engineering practices and international theoretical models: Chinese research is highly oriented to on-site coal mine engineering needs, focusing on the characterization of coal pore structure and its engineering application in gas extraction and outburst prevention of structural coal; international research prioritizes the theoretical exploration of carbon sequestration and CO₂-ECBM, with core research on gas adsorption kinetics, multiphysics coupling mechanisms of coal pore structure, and numerical simulation of reservoir modification. This research disconnect between engineering practice and theoretical modeling has become a key bottleneck restricting the safe application of coal pore structure theory in carbon capture, utilization, and storage (CCUS) projects. To address this issue, a Safety–Sustainability Nexus framework is proposed, which integrates field-based mine safety protocols with theoretical carbon storage models, and realizes cross-scale validation from micro-scale pore characterization to field-scale engineering application. Further, this study points out that the cross-scale data fusion of artificial intelligence and machine learning is the core direction to bridge the gap between engineering practice and theoretical models. In future CO₂-ECBM pilot projects, traditional gas outburst prevention indicators must be taken as mandatory safety thresholds to realize the dynamic matching of carbon injection parameters and coal reservoir stress sensitivity. This study sorts out the global research context and hotspots of coal pore structure, and provides a theoretical and practical reference for the synergy and integration of coal mine gas control engineering and carbon sequestration theoretical research under the dual carbon goals. CBM, coalbed methane; CNKI, China National Knowledge Infrastructure; WOS, Web of Science; CCUS, carbon capture, utilization, and storage; ECBM, Enhanced Coalbed Methane; CO₂-ECBM, CO₂-Enhanced Coalbed Methane. Full article

Robust and transferable approaches for evaluating research capacity—whose measurable expression is reflected in research output—are essential for evidence-based science policy and strategic research management. This study develops an integrated framework to assess global scholarly capacity and regional disparities by combining semantic-similarity-based literature filtering, bibliometric mapping, dynamic performance assessment, and spatial analytical techniques into a coherent and replicable model. A Sentence-BERT model ensures thematic precision and dataset consistency, while CiteSpace 6.1.R3 is used tomap publication trajectories, thematic evolution, and influential contributors. A dynamically weighted TOPSIS model incorporates temporal variation to quantify national research capacity, and spatial analyses—including gravity center analysis, Theil index decomposition, spatial autocorrelation, gray relational analysis, and the Geographical Detector Model—identify disparity patterns and their explanatory associations. Applied to urban ecosystem security research (2001–2023), an emerging interdisciplinary field within sustainability science, the framework shows that China and the United States dominate research output, whereas European journals exert strong academic influence. The field has advanced through three stages, with increasing emphasis on ecosystem services and sustainable development. GDP, environmental pressure, and urbanization rate show the strongest explanatory associations with research capacity, and interactive effects—especially those involving GDP—exceed single-factor explanatory strength. Ecological baseline conditions such as NDVI and climate exhibit only limited associations, functioning mainly as contextual factors. Policy implications highlight four priorities: strengthening interdisciplinary and cross-regional collaboration in developing regions; promoting equity-oriented research agendas in developed regions; establishing unified definitions and validated evaluation frameworks; and advancing dynamic, systems-based approaches to ecosystem security analysis. By shifting attention from ecological status assessment to the dynamics of scientific knowledge production and research capacity, this study advances methodological foundations for research evaluation and enriches analytical approaches in urban ecosystem security, offering a generalizable framework for identifying capacity differences and supporting evidence-informed policy design. Full article

Background: Diabetic foot ulcers (DFUs) represent a major chronic complication of diabetes mellitus, often leading to severe infection, amputation, and reduced quality of life. Among various factors affecting DFUs, plantar pressure plays a pivotal role in ulcer formation and recurrence. Despite growing interest in this domain, few studies have comprehensively evaluated the research landscape concerning plantar pressure in the context of DFUs from a bibliometric perspective. Aim: To conduct a comprehensive bibliometric analysis and visualization of global research trends, hotspots, and collaborative networks in the field of plantar pressure-related diabetic foot studies from 2000 to 2024. Methods: A systematic search was conducted in the Web of Science Core Collection (WoSCC) on 16 February 2025, for articles published between 2000 and 2024 using terms related to “diabetic foot” and “plantar pressure”. A total of 2518 records were retrieved, from which 2110 English-language articles and reviews were included. Bibliometric and visual analyses were performed using Microsoft Excel 2021, VOSviewer (v1.6.20), CiteSpace (v6.4.R1), Charticulator, and Scimago Graphica. Analyses included publication trends, country/institution/author collaborations, journal distributions, keyword co-occurrence and clustering, citation bursts, and reference co-citation networks. Results: A total of 2110 publications were identified, showing an overall increase in annual publication output from 2000 to 2024, with some year-to-year fluctuations. The United States led in publication volume (678 articles), citation frequency, and H-index, followed by the United Kingdom and China. Armstrong, David was the most prolific and also had the highest H-index among the listed authors, while the University of Amsterdam was the leading institution. “Journal of Wound Care” had the highest publication count, whereas “Diabetes Care” ranked first in citation frequency. Keyword analysis revealed major research clusters including “diabetic foot”, “plantar pressure”, “wound healing”, “offloading”, and “negative pressure wound therapy”. Recent trends show an increased focus on microcirculation, regenerative medicine, customized footwear, and wound care technologies. Conclusions: The bibliometric analysis reveals research trends and current hotspots in plantar pressure management for diabetic foot ulcers, with a particular focus on managing plantar pressure through personalized offloading strategies and custom footwear. These findings highlight the practical value of tailoring interventions to individual patient needs, emphasizing the importance of biomechanical factors in ulcer prevention and healing. Full article

This study employs bibliometric analysis, utilizing the visualization tools CiteSpace 6.3.R1 and VOSviewer 1.6.18, to systematically examine 8727 documents from the Web of Science Core Collection (2000–2024) related to “resilient cities” and “urban resilience.” It explores the evolution of resilient city research, current international trends, practical developments in China, and future directions. The study addresses key questions concerning the theoretical foundations of resilient cities, research advances in the security field, China’s implementation pathways, and emerging trends. Findings indicate that resilient city discourse has evolved from a narrow focus on engineering-based disaster prevention toward a multidimensional, socio-ecological–economic adaptive system. This progression can be divided into three phases: the theoretical foundation period (2000–2008), the technological integration period (2009–2018), and the complex crisis response period (2019–present). Internationally, practices are increasingly centered on climate change adaptation, supported by multi-level governance frameworks such as the MCR2030 initiative. China demonstrates a “dual-track” approach that combines policy-driven initiatives with localized innovations, advancing through international pilot projects, domestic policy experimentation, and grassroots exploration. The study also highlights differences between Chinese and Western research in perspectives, methodologies, and theoretical frameworks. Future resilient city development is expected to emphasize systematization, digitalization, and equity, leveraging technologies such as digital twins and artificial intelligence while fostering community participation and multi-scale collaborative governance. By systematically outlining the theoretical evolution and practical logic of resilient cities, this study offers insights for urban resilience building in developing countries and provides a methodological reference for enhancing resilience capabilities across different administrative levels. Full article

This study employs CiteSpace 6.3 R1 software to conduct a quantitative analysis of 645 cavitation-related centrifugal pump publications from the Web of Science Core Collection database (2007–2025) using bibliometric methods. The analysis encompasses publication volume statistics, keyword co-occurrence analysis, and keyword clustering. The results indicate that research on centrifugal pump cavitation is currently in a phase of rapid development. The annual number of publications related to centrifugal pump cavitation shows an overall fluctuating upward trend, with Jiangsu University emerging as the leading research institution. The research hotspots include fault diagnosis, impeller design, numerical simulation, and validation, forming four major developmental pathways. Research on cavitation in centrifugal pumps has gradually shifted its focus from numerical simulation to practical engineering issues such as pressure pulsation and cavitation, with hot topics evolving at an accelerated pace. Future efforts must address challenges like cavitation monitoring and high-precision simulation to comprehensively enhance the anti-cavitation performance and operational reliability of centrifugal pumps. Full article

This study used bibliometric methods to systematically analyze the development trend, knowledge structure and evolution path of the field of “quantitative research on agricultural soil respiration based on machine learning” from 2021 to 2025, and further explored its implications for agricultural soil carbon sinks. Based on 966 articles included in the core collection of Web of Science, this paper comprehensively uses tools such as Biblioshiny, CiteSpace and VOSviewer to carry out multi-dimensional analysis from the aspects of annual publication trends, international and institutional cooperation networks, keyword clustering and emergent evolution. It is found that this field has shown phased evolution characteristics of “technology-driven mechanism deepening–application expansion” in the past five years. At the beginning of the 5-year period of research, the introduction of machine learning methods and model verification were the core, then gradually expanding to multi-algorithm comparison, environmental factor coupling mechanisms and multi-source data fusion. Recently, the field has focused on regional-scale simulation, uncertainty quantification and model interpretability research. Keyword clustering identifies three thematic clusters—machine learning algorithm and model optimization, environmental driving factors and process mechanism, and remote sensing fusion and regional application—which form a knowledge system of “method–mechanism–application” collaborative evolution. The national cooperation network presents a pattern of “Asia-led, China–US dual-core, and European connectivity”. China dominates in scientific research output, and the United States plays a key role in international cooperation. This study further points out that the development of this field provides important methodological support and a scientific basis for accurate assessment, intelligent management and carbon neutralization decision-making for agricultural soil carbon sinks. Based on the above findings, future research should focus on the development of intelligent models of mechanisms and data fusion, the construction of multi-source data assimilation and uncertainty assessment frameworks, the expansion of global diversified agricultural system cases, and the promotion of an open and shared international scientific research cooperation ecology. This study provides empirical evidence and a direction reference for academic development, scientific research layout, carbon sink management and international collaboration in this field. Full article

High-altitude environments characterized by low air pressure, hypoxia, and strong solar radiation have a significant impact on human thermal comfort; however, existing thermal comfort theories and evaluation models are primarily developed under low-altitude climatic conditions, and their applicability in plateau regions remains limited. With the acceleration of urbanization and the increase in residential, tourism, and occupational activities in high-altitude areas, systematically reviewing the research progress on thermal comfort in such environments is of great practical significance. This study combines systematic literature retrieval and bibliometric analysis, based on the Web of Science Core Collection and China National Knowledge Infrastructure (CNKI) databases, to analyze relevant studies published since 2001. Using CiteSpace, research hotspots, collaboration networks, and evolutionary trends are visualized. The results indicate that current research hotspots mainly focus on physiological responses and thermal adaptation mechanisms under low-pressure and hypoxic conditions, thermal comfort regulation strategies for high-altitude buildings and environments, and the applicability and modification of conventional thermal comfort models. Emerging trends include multi-environmental factor coupling analysis, adaptive model development, region-specific building design approaches, and health-oriented comprehensive evaluation frameworks. The findings provide valuable references for building thermal environment design, regional revision of thermal comfort evaluation standards, and policy-making in high-altitude regions. Full article

With the advancement of digital technology and Industry 4.0, artificial intelligence (AI) is gradually embedded in human resource management and has become an important digital foundation to support the sustainable transformation of enterprises. However, the research in the manufacturing context, particularly through the challenge perspective at different levels, remains fragmented. This work represents a systematic review of 347 articles from Scopus and Web of Science from 2000 to 2025 and employs a dual-method analysis strategy embracing metrics and in-depth coding on 100 core publications. Excel, Bibliometrix, CiteSpace, Latent Dirichlet Allocation (LDA), and VOSviewer were utilized for quantitative analysis, while open–axial–selective coding of the Grounded theory approach was applied to generate qualitative results. The findings revealed six key challenges in integrating AI-HRM within manufacturing and six approaches to solve the identified issues. The Challenge–Approach Matching Matrix was constructed, illustrating the suitability of different pathways for addressing specific challenges. Analysis of thematic evolution in AI-HRM research resulted in the identification of three distinctive phases and demonstrated a consistent shift from technology-centric approaches towards human–machine collaboration. The primary contribution of this research lies in proposing a Multi-Level Embedded Framework providing a complex view of AI-HRM in a manufacturing sector at micro, meso, and macro levels. The absence of sustainable HR transformation through AI integration was identified as the critical challenge at the macro level. This research provides theoretical and practical implications for designing the sustainable HRM system based on ESG principles and favors the United Nations Sustainable Development Goals 9 and 12. Full article

This study systematically analyzed research trends in aquaculture wastewater treatment from 2000 to 2024 using bibliometric methods. Through knowledge mapping and keyword co-occurrence analysis conducted with Citespace6.1 software on the Web of Science Core Collection and the CNKI (China National Knowledge Infrastructure) Core Journal Database, we aimed to elucidate the distribution characteristics, evolution of research hotspots, and differences in technological pathways within the existing research landscape, while identifying gaps in integrated knowledge synthesis and cross-regional comparative analysis. The results indicate: (1) China’s publication output in this field over the past five years has significantly surpassed international levels, reflecting an imbalance in regional research activity; (2) antibiotics, nitrogen and phosphorus, organic pollutants, and heavy metals constitute the primary pollutant categories, with increasing attention focused on antibiotic and heavy metal pollution in recent years; (3) domestic research demonstrates a preference for natural ecological treatment technologies, whereas international research is predominantly oriented toward biological treatment technologies. By integrating Chinese- and English-language literature data with visual analytics, this study addresses the existing gap in systematic knowledge mapping and comparative analysis of regional technological pathways, and highlights the ongoing paradigm shift from pollution elimination toward resource recovery. The findings provide an empirical basis for formulating differentiated regional governance policies and guiding investments in low-carbon and environmentally friendly technology research and development, thereby promoting the transition of the aquaculture industry toward green and sustainable development. Full article

With the rapid advancement of artificial intelligence (AI), higher education is undergoing a significant transformation. AI offers unprecedented opportunities to enhance this field’s sustainability through pedagogical and curricular innovations, but there are significant challenges. Traditional teaching models often struggle to meet students’ personalized and diverse learning needs. In contrast, AI technologies offer new potential for enhancing education through intelligent data analytics, personalized recommendations, and automated management. Based on research sourced from the Web of Science Core Collection, we employed CiteSpace for visual analysis to map the current research landscape and emerging trends regarding AI in higher education. This review synthesizes these developments to provide a framework for stakeholders, contributing to the discourse on building a sustainable and intelligent higher education ecosystem that balances innovation and ethical governance. Full article

Frequent forest fires cause serious damage to ecosystems and socioeconomic systems, increasing the importance of fire prevention and risk assessment. Forest fuel is a fundamental determinant of forest fire behavior and a key component of fire risk management. However, a systematic synthesis of its global research evolution and emerging scientific challenges remains relatively insufficient. On the basis of 1257 publications retrieved from the Web of Science Core Collection (2010–2025) with the themes of “wildfire fuel” and “forest fuel,” this study employed CiteSpace for bibliometric analysis to systematically investigate research trends, collaboration patterns, and thematic evolution. The results show that forest fuel research has exhibited sustained growth overall, with notable peaks in 2016 and 2020, and reaching a historical high in 2023. The United States dominated both in publication output and institutional collaboration networks, forming a core research cluster together with Australia and Canada. Keyword co-occurrence and burst analyses revealed a shift in research hotspots—from early focus on forest fuel models and risk assessment at the wild–urban interface (WUI)—toward concerns about climate-change-driven fire seasonality, fuel moisture dynamics, and emergency response issues, reflecting the growing influence of climate change on wildfire patterns. Notably, this study identified several critical research gaps, including limitations in cross-regional integration of fuel moisture studies, insufficient attention to ignition prevention in WUI residential settings, and a lack of reproducible, open bibliometric workflows. By systematically mapping the knowledge structure and evolutionary trajectory of forest fuel research, this study provides a globally informed knowledge framework for the future advancement of forest fuel science and its deeper integration with forest fire management and policy making. Full article

This study employs a comprehensive bibliometric analysis to map the global scientific landscape of laser wakefield acceleration (LWFA) from 1990 to 2025. Using data extracted from the Web of Science (WoS) and analyzed with Bibliometrix, VOSviewer, and CiteSpace, the study identifies key publication trends, influential authors, leading countries, prominent journals, and thematic evolution within the field. The findings reveal exponential growth in LWFA-related research, driven by advances in high-power laser technology and controlled injection techniques. Network analyses demonstrate extensive international collaboration and a strong interdisciplinary structure linking plasma physics, optics, and accelerator science. Keyword co-occurrence and burst analyses highlight emerging topics such as ionization injection, dual-stage acceleration, betatron radiation, and machine learning-assisted optimization. These insights delineate both the historical progression and the dynamic frontiers of LWFA, providing a systematic understanding of its development and guiding future research toward the realization of compact, high-quality electron sources and next-generation plasma-based accelerators. Full article