Against the backdrop of ecological civilization construction and the Healthy China strategy, healing landscapes, as an important carrier for promoting health and sustainable urban development, have become a research focus in urban and rural planning and landscape design. By constructing a three-dimensional analysis framework of bibliometrics - topic mining - trend prediction, based on the data of journal papers in CNKI database from 2005 to 2025, CiteSpace software is used to analyze hot keywords and their evolution trends, mutual information (MI) is used to measure the dependence of context, Python is used to count TF-IDF values to quantify the importance of keywords, and LDA topic modeling is used to mine potential topics and predict future trends. The results show that the number of papers on healing landscape research in China is on the rise; the research focuses on the comprehensive benefi ts and infl uence mechanism of health-oriented landscape, the practical application of healing landscape for specifi c groups, and the evidence-based design methodology of healing landscape. The research trends focus on the theoretical deepening of horticultural therapy and the adaptation of multiple scenes, the evidence-based design and interdisciplinary integration of healing landscapes, and the reconstruction of urban healing space in the post-epidemic era. In the future, it is necessary to strengthen the construction of a multi-scale spatial coordination and policy standard system, as well as interdisciplinary research.