By clustering of the last decade literature data from Web of Science database, we use CiteSpace5.6 R5, which is mainly based on co-citation analysis theory, Pathfinder algorithm and Minimum Spanning Tree algorithm (MST), to generate mapping knowledge domains of keyword and citation as well as analyze current research focus in the field of elderly care service. We also combine the method of visual bibliometrics and content analysis to make full sense of the relationship of network, structure, interaction, crossover, evolution or derivation among elderly care services. In a conclusion, we find that (1) The keywords about informal care, Medicaid, quality, social security, have higher keyword frequency and keyword centrality, which shows that these keywords are the research focus in this period of 2010–2020. Also, the research field of elderly care service can be divided into two stages. In 2010-2015, researchers focused on aging issues and care-givers in nursing homes. In 2016-present, researchers focused on informal care and the needs of the elderly. (2) the knowledge distribution is constituted by the selection of elderly care methods, elderly care insurance, saving and consumption behavior of the elderly and quality of elderly care.