Global climate change puts pressure on agricultural systems, which in turn exacerbate global warming. Climate-smart agriculture (CSA) aims to address the dual challenges by enhancing productivity, resilience, and mitigation. However, existing research remains largely isolated within either natural or social sciences, limiting its potential to address complex agricultural issues. This review bridges the gap with a bibliometric analysis of 997 Web of Science documents (2013–2023) using CiteSpace and VOSviewer. It aims to reveal cross-disciplinary challenges and opportunities by analyzing keywords clusters and citation bursts, based on publication trends, categories, journals, authors, affiliations, and geographic distributions. The findings include: (1) From horizontal keywords clusters: CSA adoption in Southern Africa cluster is hindered by multiple barriers, while inclusive and collaborative approach offers opportunities. No-tillage cluster faces inconsistent yield impacts. Climate adaptation struggles with resource, governance, and continuity challenges while pro-poor economic integration offers opportunities. Greenhouse gas cluster presents contradictory findings with opportunities through studying in mechanisms driving GHG fluxes, and the challenges and opportunities in heat stress cluster are in balancing temperature extremes. (2) From temporal keywords citation bursts: early research focus on policy integration and agricultural system dynamics with challenges in cost-benefit uncertainties and policy scalability, while later on, incorporating women into CSA design provides key opportunities for inclusive development. In the latest stage, methane emissions from paddy fields have become a major issue. These insights lay a foundation for addressing the intertwined challenges of climate change and agricultural sustainability. Graphical abstract

As China enters a rapidly aging era, understanding the determinants of life satisfaction among older adults has become a pressing research and policy conce

To analyze the factors and their interactions influencing home nursing utilization among older adults in China, and to provide a scientific basis for enhancing home nursing services and improving life quality for older adults. We utilized nationally representative data from the 2020 wave of the China Longitudinal Aging Social Survey (CLASS), including a total of 2,723 participants. Logistic regression and XGBoost algorithm were employed to examine the determinants of home nursing utilization. Interactions among determinants were also analyzed to uncover deeper insights into home nursing utilization, with XGBoost further applied to generate individual-level predictions. The analysis showed that region type, home visit access, older adults’ subsidy, and family support count were significant enabling resources in home nursing utilization. Activities of Daily Living (ADL) score, chronic disease count, recent hospital duration, and life satisfaction, were strong internal motivators. Interactions, including the influence of region type and chronic disease count, life satisfaction and home visit access, self-rated health and region type, home visit access and family support count, further highlighted the complexity of home nursing utilization. The potential role of online access was also recognized as an emerging factor. This study emphasizes the critical role of both need-based factors and enabling resources in driving home nursing utilization. Identifying high-need populations is essential for improving home nursing utilization and optimizing resource allocation. Targeted interventions are required to address disparities in the distribution of enabling resources, ensuring effective delivery to underserved areas. Community-based systems should prioritize support for older adults with minimal family support while integrating psychological interventions into care models to better align with individual needs. By developing tailored service strategies, this research provides a scientific foundation for optimizing the design and delivery of home nursing services, ultimately improving the quality of care for older adults. Not applicable. The online version contains supplementary material available at 10.1186/s12912-026-04371-y.