[目的/意义]科学技术的发展带动科技文献数量持续增长，探索不同数据源维度下的领域知识演化特征， 有助于从数据层面对领域知识发展建立全景化视角。[方法/过程]以美国石墨烯领域的期刊论文、会议论文、基金 项目、技术专利为数据源，采用BERTopic主题建模的方法提取领域主题，对不同数据源维度下的领域知识演化进 行跟踪，对比不同数据源维度下的知识演化分析效果。[结果/结论]研究发现，基于单一数据源的主题提取结果及 其呈现的知识演化脉络各有侧重；基于融合数据源的领域主题呈现领域全景且有助于发现潜在的知识演化模式。

[Purpose/significance] The development of science and technology has driven the continuous growth of the number of scientific documents. Exploring the evolution characteristics of domain knowledge from different data source dimensions will help to establish a panoramic perspective on the development of domain knowledge. [Method/process] Using journal papers, conference papers, fund projects, and patents in the graphene field in the US as data sources, the BERTopic model is used to extract domain topics, track the evolution of domain knowledge from different data source dimensions, and compare the effects of knowledge evolution analysis from different dimensions. [Result/conclusion] The results show that the topic extraction results and the context of knowledge evolution based on a single data source have different emphases; domain topics based on fused data sources present a domain panorama and help to discover potential knowledge evolution patterns.