As acculturation research has become more interdisciplinary and dynamic over the last 20 years, it is necessary to explore its emerging trends. We collected 10,039 research articles on acculturation research from 2000 to 2020 from the Web of Science (WoS) database and utilized the CiteSpace tool to visualize emerging trends. During the data analysis, we extracted noun phrases from the abstracts of the retrieved articles to identify clusters, and the log-likelihood ratio (LLR) algorithm was used to generate cluster labels in the co-citation network. Based on the size of the clusters, the five largest clusters were chosen and analyzed: “Asian cultural value,” “Suicide attempt,” “Unhealthy behavior,” “Host country identification,” and “Emerging adulthood”. These findings may help researchers and scholars gain useful insight and explore topics related to the research trends in acculturation.

在过去的 20 年中，文化适应研究变得更加跨学科和更具活力，因此有必要探索其新兴趋势。我们从科学网 (WoS) 数据库收集了 2000 年至 2020 年关于文化适应研究的 10,039 篇研究文章，并利用 CiteSpace 工具将新兴趋势可视化。在数据分析过程中，我们从检索到的文章摘要中提取名词短语来识别聚类，并使用对数似然比（LLR）算法在共引网络中生成聚类标签。根据集群的大小，选择并分析了五个最大的集群：“亚洲文化价值”、“自杀未遂”、“不健康行为”、“东道国认同”和“新兴成年”。