The utilization of recycled materials has emerged as a pivotal strategy for mitigating resource depletion and reducing carbon emissions in the construction industry. However, existing reviews predominantly focus on specific technical aspects, often overlooking the interdisciplinary complexities associated with recycled materials as a systems engineering challenge. This study systematically reviews 1533 documents from the Web of Science Core Collection, integrating quantitative and qualitative analytical approaches to assess the current state and future trajectory of the field, thereby addressing existing research gaps. The findings highlight the substantial evolution of recycled building materials from waste recovery to a multifaceted domain encompassing value assessment, circular economy principles, advanced technologies, interdisciplinary collaboration, and long-term societal benefits. This study identifies six key research themes in recycled building materials: life cycle assessment, biological and natural materials, recycled concrete, recycled asphalt and building infrastructure, construction and demolition waste, and environmental impacts with composite factors. Furthermore, current research is categorized into two primary dimensions: value strategies and technological tools. The analysis of future research directions underscores the potential of AI-driven innovations and their role in enhancing human living environments. However, developing countries continue to face critical challenges, necessitating further interdisciplinary integration and knowledge exchange. Finally, this study proposes a comprehensive and systematic disciplinary framework that offers valuable insights for future strategic planning and technological advancements in the field.

Virtual exhibitions of cultural heritage (CH) have become a key means for preservation, education, and global dissemination in the digital era. This study provides a comprehensive systematic review and bibliometric analysis of CH virtual exhibition research from 1999 to 2025. A total of 651 valid records were retrieved from the Web of Science Core Collection following the PRISMA 2020 guidelines. Three tools (CiteSpace, VOSviewer, and Bibliometrix) support stronger analysis. Results reveal that the field’s knowledge structure can be organized into the following three interrelated layers: (1) a technology-driven layer (laser scanning, photogrammetry, VR/AR, and multimodal interaction), (2) a systemic application layer (curatorial workflows, digital museums, and immersive storytelling), and (3) a user experience layer (educational impact, gamification, and trust building). These dimensions form a cyclical pyramid framework linking innovation, interpretation and perception. The study identifies persistent regional disparities, with China and Italy leading in publication volume, while countries such as Denmark and Australia achieve higher citation impacts due to advanced policy support and digital strategies. Emerging trends highlight the growing integration of gamified learning, AI-assisted curation, and immersive narrative design. These reflect a paradigm shift from technological demonstration to cultural interpretation. This study establishes a holistic analytical framework for understanding the evolution and future directions of CH virtual exhibitions, providing an essential reference for researchers, curators, and policymakers in the heritage informatics domain.

Heritage Building Information Modeling (HBIM) has emerged as a key tool in advancing heritage conservation and sustainable management. Preceding reviews had typically concentrated on specific technical aspects but did not provide sufficient bibliometric analysis. This study aims to integrate existing HBIM research to identify key research patterns, emerging trends, and forecast future directions. A total of 1516 documents were initially retrieved from the Web of Science Core Collection using targeted search terms. Following a relevance screening, 1175 documents were related to the topic. CiteSpace 6.4.R1, VOSviewer 1.6.20, and Bibliometrix 4.1, three bibliometric tools, were employed to conduct both quantitative and qualitative assessments. The results show three historical phases of HBIM, identify core journals, influential authors, and leading regions, and extract six major keyword clusters: risk assessment, data acquisition, semantic annotation, digital twins, and energy and equipment management. Nine co-citation clusters further outline the foundational literature in the field. The results highlight growing scholarly interest in workflow integration and digital twin applications. Future projections emphasize the transformative potential of artificial intelligence in HBIM, while also recognizing critical implementation barriers, particularly in developing countries and resource-constrained contexts. This study provides a comprehensive and systematic framework for HBIM research, offering valuable insights for scholars, practitioners, and policymakers involved in heritage preservation and digital management.

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.