Search Results (97)

Industrial trademark examination enables users to apply for and manage their trademarks efficiently, promoting industrial and commercial economic development. However, there still exist many challenges, e.g., how to customize a blockchain-based crowdsourcing method for interactive trust evaluation, how to decentralize the functionalities of a centralized entity to nodes in a blockchain network instead of removing the entity directly, how to design a protocol for the method and prove its security, etc. In order to overcome these challenges, in this paper, we propose the Blockchain-based Crowdsourcing Interactive Trust Evaluation (Block-CITE for short) method to improve the efficiency and security of the current industrial trademark management schemes. Specifically, Block-CITE adopts a dual-blockchain structure and a crowdsourcing technique to record operations and store relevant data in a decentralized way. Furthermore, Block-CITE customizes a protocol for blockchain-based crowdsourced industrial trademark examination and algorithms of smart contracts to run the protocol automatically. In addition, Block-CITE analyzes the threat model and proves the security of the protocol. Security analysis shows that Block-CITE is able to defend against the malicious entities and attacks in the blockchain network. Experimental analysis shows that Block-CITE has a higher transaction throughput and lower network latency and storage overhead than the baseline methods. Full article

Smart tourism destinations, shaped by the integration of tourism and information technology, have become a central theme in international academic research. This study employs bibliometric methods using CiteSpace to conduct co-authorship, co-citation, keyword co-occurrence, and burst analyses, with the aim of mapping the knowledge structure and research evolution of the field. Drawing on 232 articles from the Web of Science Core Collection (2013–2025), the results reveal a shift from technology-centered approaches toward themes of visitor experience, collaborative governance, and sustainable development. The Universitat d’Alacant (Spain) and The Hong Kong Polytechnic University (China) have emerged as leading research hubs, with Ivars-Baidal and colleagues as major contributors. Foundational studies by Buhalis and Gretzel continue to shape the domain. Keyword trends highlight increasing attention to technological efficiency and sustainable ethics. Overall, the study traces the developmental trajectory of smart tourism destinations, proposes a systematic knowledge framework, and identifies future directions for theoretical integration and methodological innovation. The findings provide both conceptual insights for academic research and strategic guidance for destination governance and policy. Full article

This study presents a bibliometric review of global research trends on electric vehicles (EVs) and urban tourism within the context of smart cities, emphasizing the economic and policy dimensions of sustainable mobility and infrastructure investment. Drawing from 593 publications indexed in the Web of Science from 2005 to April 2025, the analysis explores document types, leading research areas, alignment with Sustainable Development Goals (SDGs), influential authors, and highly cited works. A keyword co-occurrence analysis reveals six major thematic clusters, highlighting key topics such as EV adoption behavior, renewable energy policy, wireless charging technology, and semiconductor innovation. Engineering and physics emerged as dominant research areas, with SDG 7 (Affordable and Clean Energy) and SDG 11 (Sustainable Cities and Communities) most frequently represented. The findings underline a growing interdisciplinary effort to integrate EV technologies with urban tourism through smart, carbon-neutral transport systems, supported by policy frameworks, green investment incentives, and digital infrastructure. This review identifies research gaps and opportunities to advance energy-efficient, economically viable, and tourism-oriented mobility solutions in smart cities by mapping the current knowledge landscape. Full article

With the acceleration of climate change and urbanisation, Chinese cities are facing increasingly severe flood risks. To address this challenge, China began implementing its sponge city policy in 2013, leveraging low-impact development, green infrastructure construction, and integrated water resource management to enhance urban resilience to floods and improve water security. This study utilises the Web of Science database as a reference, retrieving 201 relevant literature sources. From these, 61 studies closely related to China’s sponge city policy and urban flood management were selected. CiteSpace was employed to conduct keyword co-occurrence and temporal evolution analyses, comprehensively outlining the research hotspots and developmental trajectory of this field. The results indicate that research content has gradually shifted from early engineering-based flood control models to multi-objective, interdisciplinary comprehensive management, encompassing flood risk assessment, policy implementation mechanisms, integration of green infrastructure, and economic feasibility analysis. Based on this, this paper constructs an analytical framework incorporating technical, environmental, institutional, and social dimensions to integrate existing research findings, while identifying gaps in cross-scale coordination, smart management, and public participation. The research conclusions can provide valuable references for future policy optimisation and urban sustainable development. Full article

Under the twin imperatives of climate change mitigation and sustainable development, achieving a low-carbon transformation of power systems has become a national priority. To clarify this objective, China issued the Blue Book on the Development of New Power System, which comprehensively defines the guiding concepts and characteristic features of a new power system. In this study, natural language processing-based keyword extraction techniques were applied to the document, employing both the TF-IDF and TextRank algorithms to identify its high-frequency terms as characteristic keywords. These keywords were then used as topic queries in the Web of Science Core Collection, yielding 1568 relevant publications. CiteSpace was employed to perform a bibliometric analysis of these records, extracting research hotspots in the new power system domain and tracing their evolutionary trajectories. The analysis revealed that “renewable energy” appeared 247 times as the core high-frequency term, while “energy storage” exhibited both high frequency and high centrality, acting as a bridge across multiple subfields. This pattern suggests that research in the new power system field has evolved from a foundation in renewable energy and storage toward smart grids, market mechanisms, carbon capture, and artificial intelligence applications. Taken together, these results indicate that early research was primarily grounded in renewable energy and storage technologies, which provided the technical basis for subsequent exploration of smart grids and market mechanisms. In the more recent stage, under the dual-carbon policy and digital intelligence imperatives, research hotspots have further expanded toward carbon capture, utilization, and storage (CCUS) and artificial intelligence applications. Looking ahead, interdisciplinary studies focusing on intelligent dispatch and low-carbon transition are poised to emerge as the next major research frontier. Full article

Smart cities and urban planning have succeeded in gathering the attention of researchers worldwide, especially in the last decade, as a result of a series of technological, social and economic developments that have shaped the need for evolution from the traditional way in which the cities were viewed. Technology has been incorporated in many sectors associated with smart cities, such as communications, transportation, energy, and water, resulting in increasing people’s quality of life and satisfying the needs of a society in continuous change. Furthermore, with the rise in machine learning (ML) and artificial intelligence (AI), as well as Geographic Information Systems (GIS), the applications of big data analytics in the context of smart cities and urban planning have diversified, covering a wide range of applications starting with traffic management, environmental monitoring, public safety, and adjusting power distribution based on consumption patterns. In this context, the present paper brings to the fore the papers written in the 2015–2024 period and indexed in Clarivate Analytics’ Web of Science Core Collection and analyzes them from a bibliometric point of view. As a result, an annual growth rate of 10.72% has been observed, showing an increased interest from the scientific community in this area. Through the use of specific bibliometric analyses, key themes, trends, prominent authors and institutions, preferred journals, and collaboration networks among authors, data are extracted and discussed in depth. Thematic maps and topic discovery through Latent Dirichlet Allocation (LDA) and doubled by a BERTopic analysis, n-gram analysis, factorial analysis, and a review of the most cited papers complete the picture on the research carried on in the last decade in this area. The importance of big data analytics in the area of urban planning and smart cities is underlined, resulting in an increase in their ability to enhance urban living by providing personalized and efficient solutions to everyday life situations. Full article

In the IT sector, the relevance of looking at security from many different angles and the inclusion of different areas is already known and understood. This approach is much less pronounced in the area of cyber physical systems and not present at all in the area of building automation. Increasing interconnectivity, undefined responsibilities, connections between secured and unsecured areas, and a lack of understanding of security among decision-makers pose a particular threat. This systematic review demonstrates a paucity of literature addressing real-world scenarios, asymmetric/hybrid threats, or composite vulnerabilities. In particular, the attack surface is significantly increased by the deployment of smart sensors and actuators in unprotected areas. Furthermore, a range of additional hybrid threats are cited, with practical examples being provided that have hitherto gone unnoticed in the extant literature. It will be shown whether solutions are available in neighboring areas and whether these can be transferred to building automation to increase the security of the entire system. Consequently, subsequent studies can be developed to create more accurate behavioral models, enabling more rapid and effective analysis of potential attacks to building automation. Full article

The growing environmental and economic impacts of agri-food waste have intensified interest in digital and circular strategies for more sustainable resource management. This study investigates how digital technologies are being applied to enhance the circular management of agri-food waste. A systematic literature review was conducted following PRISMA guidelines, using Scopus as the primary database. The bibliometric analysis included 373 publications from 2015 to 2025 and was complemented by a thematic review of the 20 most cited articles. Results revealed six major research clusters, ranging from predictive waste analytics and smart traceability systems to circular bioeconomy applications such as anaerobic digestion and pyrolysis. In addition, the study examined structural indicators such as food waste per capita and hunger indices to contextualize geographic disparities in research output. The findings underscore the dual role of digital technologies as both operational tools and mechanisms for reducing systemic inequalities. Overall, the integration of intelligent systems and circular models offers promising pathways to support the Sustainable Development Goals and foster a more inclusive and resilient agri-food sector. Full article

Urban rail transit is a key enabler for optimizing urban spatial structures, and its interactive relationship with land use has long been a focus of attention. However, existing studies suffer from scattered methodologies, a lack of systematic analysis, and insufficient dynamic insights into global trends. This study comprehensively employs CiteSpace, VOSviewer, and Scimago Graphica to conduct bibliometric and knowledge map analysis on 1894 articles from the Web of Science database between 2004 and 2024, focusing on global research trends, collaboration networks, thematic evolution, and methodological advancements. Key findings include the following: (1) research on rail transit and land use has been steadily increasing, with a significant “US-China dual-core” distribution, where most studies are concentrated in the United States and China, with higher research density in Asia; (2) domestic and international research has primarily focused on themes such as the built environment, value capture, and public transportation, with a recent shift toward artificial intelligence and smart city technology applications; (3) research methods have evolved from foundational 3S technologies (GIS, GPS, RS) to spatial modeling tools (e.g., LUTI model, node-place model), and the current emergence of AI-driven analysis (e.g., machine learning, deep learning, digital twins). The study identifies three future research directions—technology integration, data governance, and institutional innovation—which provide guidance for the coordinated planning of transportation and land use in future smart city development. Full article

This study presents a systematic bibliometric review of wearable technologies aimed at vulnerable road user (VRU) safety, covering publications from 2000 to 2025. Guided by PRISMA procedures and a PICo-based search strategy, 58 records were extracted and analyzed in CiteSpace, yielding visualizations of collaboration networks, publication trajectories, and intellectual structures. The results indicate a clear evolution from single-purpose, stand-alone devices to integrated ecosystem solutions that address the needs of diverse VRU groups. Six dominant knowledge clusters emerged—street-crossing assistance, obstacle avoidance, human–computer interaction, cyclist safety, blind navigation, and smart glasses. Comparative analysis across pedestrians, cyclists and motorcyclists, and persons with disabilities shows three parallel transitions: single- to multisensory interfaces, reactive to predictive systems, and isolated devices to V2X-enabled ecosystems. Contemporary research emphasizes context-adaptive interfaces, seamless V2X integration, and user-centered design, and future work should focus on lightweight communication protocols, adaptive sensory algorithms, and personalized safety profiles. The review provides a consolidated knowledge map to inform researchers, practitioners, and policy-makers striving for inclusive and proactive road safety solutions. Full article

Composite protective coatings are critical for material durability but face challenges like fragmented knowledge and scalability issues. Existing research lacks the systematic integration of nanomaterial properties with macroscale performance and standardized evaluation protocols for hybrid systems. This study uses CiteSpace to analyze 18,363 publications (2015–2025) from Web of Science, visualizing collaborative networks, keyword clusters, and citation bursts. China leads global research output (8508 publications), with the USA and India following, while materials science, chemistry, and physics dominate disciplines. Key themes include nanocomposite coatings (e.g., graphene oxide, MXene), corrosion resistance mechanisms, and sustainable technologies, with citation bursts highlighting nanocomposites and surface functionalization. The study reveals interdisciplinary synergies in 2D nanomaterial-polymer systems, thereby improving barrier properties and enabling stimuli-responsive inhibitor release, yet it identifies gaps in lifecycle sustainability and industrial scalability. By constructing a holistic knowledge framework, this work bridges theory and application, quantifying interdisciplinary linkages and pinpointing frontiers like smart, multifunctional coatings. This study integrates data-driven insights to facilitate cross-sector collaboration. It delivers a strategic framework to tackle global challenges in material durability, sustainability, and practical application. Full article

The clothing industry greatly impacts the global economy by producing billions of pieces of clothing and employing millions. However, it negatively impacts the environment, as it is one of the most polluting sectors in the world. This bibliometric review aims to identify influential authors and affiliations, journals, productive and cited countries, emerging and recent themes, and future research directions focusing on the dynamics of clothing brands’ sustainability practices. A comprehensive dataset from Scopus and the Web of Science contains 612 articles, and Biblioshiny and VOSviewer were used to analyze the data. Findings reveal that sustainability is not just a concern for developed countries but is also gaining attention in emerging economies like India. This bibliometric analysis presents its relationship with sustainable development goals (SDGs), combines performance analysis and science mapping of clothing brands’ sustainability practices, and evaluates thematic clusters to highlight future research scopes to fill the literature gap for further concentration on behavioral aspects, advanced supply chains, effective communication, and promoting the usage of sustainable technologies, which can help to align with business models for sustainability and resilience. Therefore, clothing brands’ sustainability practices should focus on smart and functional clothing through eco-friendly manufacturing and designing long-lasting clothes to enrich clothing performance. They should adopt innovative technologies for resource utilization, recycling, waste management, supply chain, and also emphasize communication with the consumers to encourage them to purchase eco-friendly and long-lasting clothes. Full article

Buildings play a pivotal role in the daily functioning of cities, and the development of smart cities is intricately linked to the sustainable development of architectural practices. However, existing reviews have predominantly concentrated on the development of smart cities, often overlooking the interdisciplinary complexities associated with integrating smart city technologies and sustainable building practices. This study systematically reviews 418 relevant papers from the Web of Science database, employing both quantitative and qualitative analytical methods to assess the current status and future trajectory of the field. Therefore, it bridges a significant gap in the existing literature. The findings underscore the contributions of technologies such as the Internet of Things (IoT), artificial intelligence, and big data in enhancing the sustainability of buildings within smart cities. The key areas of focus include energy management, smart building systems, and resource optimisation. Furthermore, the study identifies emerging research themes, such as smart city buildings, smart energy management, and digital twins, highlighting their potential to optimise building performance and foster sustainability within evolving urban systems. The keywords identified in the current body of research are categorised into six main areas: context, objectives, methods, artificial intelligence, emerging technologies, and opportunities and challenges. Research themes are seen to progress from “performance” to “building” and “sustainability” and from “city” to “city” and “sustainability”. Notably, themes such as “city”, “modelling”, and “design” have evolved into themes centred around the “Internet”. However, with the rapid expansion of digital technologies, scholars must also address several critical challenges, including data security and privacy protection, the complexity of cross-system data coordination, uncertainties in sustainable optimisation processes, and the ethical and societal implications of technology adoption. To ensure the successful and sustainable development of future urban smart buildings, it is essential to establish rigorous data security standards, harmonise technical protocols, implement effective global strategies, and prioritise ethical considerations. In addition, unmanned technologies and their associated systems offer valuable insights into the sustainability of buildings in smart cities. Finally, this study presents a comprehensive and systematic framework that provides invaluable insights for future strategic planning and technological advancements in the field. Full article

Background/Objectives: With the rising prevalence of chronic diseases and an aging population, the incidence of stroke is continuously increasing, which leads to higher medical costs. Stroke carries a high risk of recurrence, necessitating ongoing self-care and lifestyle changes, for which education is crucial. The aim of this study is to identify the ICT utilization education needs, mobile health literacy, and self-care education needs of stroke patients and confirm the differences in mobile health literacy and self-care education needs according to ICT utilization to establish a basis for self-care intervention. Methods: The study included 100 stroke patients diagnosed at three general hospitals or higher in City C, hospitalized or visiting neurology and neurosurgery outpatient clinics. A survey was conducted from 7 July 2023 to 30 May 2024. The survey cites computers, the Internet, live broadcasting technology, recorded broadcasting technology, and telephony as examples of ICTs. The gathered data were analyzed using descriptive statistics, independent t-tests, one-way ANOVA, and the Pearson correlation coefficient. Results: The final analysis included 100 people, with 64 participants being men and an average age of 57.75 ± 12.30 years. Self-care education needs showed no significant differences based on general or disease-related characteristics. Many patients could use smart devices but experienced difficulties in searching for information. The main reasons for using smart devices included acquiring disease-related information and accessing resources without time limitations. The use of ICT services that provide disease-related information was low, 70% of participants were willing to use them in the future. Additionally, they preferred doctor-led education sessions once a month, lasting no longer than 30 min each. Mobile health literacy was significantly higher among those willing to use ICT services. Conclusions: Mobile health literacy was significantly higher in the group willing to use ICT services than in the group unwilling. Self-care education needs were both highly important and necessary in the group willing to utilize ICT, but no statistically significant difference was found. Full article

This study examines the challenges and opportunities in implementing smart ventilation systems in public and semi-public organizations’ buildings, framing them as transformative for achieving sustainability goals. Public organizations in Lithuania face significant hurdles in maintaining hygiene standards and ensuring suitable indoor environmental conditions. Aging infrastructure further complicates these efforts, requiring substantial investments for adopting smart ventilation solutions. This research aims to investigate the factors influencing the adoption of solutions, which may lead to sustainability goal implementation in Lithuania. A theoretical framework was constructed, using systemic and comparative literature analysis methods; a quantitative analysis (telephone-based survey with 203 respondents) provided insights into the current state of ventilation systems and the demand for smart solutions. The survey addressed four areas: current ventilation system use, ventilation challenges, awareness of automated systems, and plans for future improvements. The findings reveal widespread dissatisfaction with existing systems, with respondents citing poor air quality, inconsistent temperatures, and inefficiencies as critical challenges. Larger buildings and high-occupancy spaces exhibit the greatest demand for smart solutions, but financial barriers, particularly high initial costs, remain a significant obstacle. This research highlights the potential of automated ventilation systems to address these issues, improve energy efficiency, and support sustainability goals. Tailored financial incentives, educational initiatives, and scalable solutions are essential for enabling the effective implementation of smart ventilation systems in Lithuania’s public organizations. Full article