[目的/意义]识别学科对外输出热点，有利于分析学科交叉发展现状及趋势，把握学科影响力的提升方向。[方法/过程]目标学科文献跨学科被引，可以推动其他学科知识、文献的创新与产生，形成"跨学科推动力"。但跨学科推动力的大小不完全等同于被引数量，尤其与引用/被引双方知识的相关性有关。因此，本文引入物理学中的正交分解法，构建目标学科知识跨学科推动力综合模型，从知识跨学科输出强度、广度、加速度、相关度等方面识别目标学科对外输出热点。[结果/结论]以图书情报学2017-2022年数据为例进行实证研究，识别结果表明模型具有可行性、有效性；同时依据一定分类原则将该学科知识对外输出热点划分为前沿、稳定、衰退3种类型，社会关注热点、学科交叉知识、专业核心知识分别属于以上类型。同时，综合分析发现图书情报学对外输出热点集中在交叉领域的信息管理与分析相关知识，但专业核心知识对外输出能力不足。
[Purpose/Significance] Identifying discipline output hotspots is conducive to analyzing the current situation and trend of interdisciplinary development and improving the influence of the discipline.[Method/Process] The interdisciplinary citation of the papers can promote the innovation and generation of other disciplines knowledges and papers and form an "interdisciplinary driving force". However, the magnitude of interdisciplinary driving force is not exactly equal to the number of citations, while is related to the relevance of the citing and cited knowledge. Therefore, this paper adopts the orthogonal decomposition method in physics, constructs a comprehensive model of the interdisciplinary driving force of the target discipline knowledge, and identifies the hotspots of the target discipline's external output from the output intensity, breadth, acceleration and relevance of knowledge in interdisciplinary.[Result/Conclusion] This paper takes the data of library and information science (LIS) from 2017 to 2022 as an example, the results show that the model is feasible and effective. According to certain classification principles, it divides the knowledge output hotspots of this discipline into three types:frontier, stable and declining. Social concern hotspots, interdisciplinary knowledge and professional core knowledge belong to the above types respectively. Through comprehensive analysis, it finds that output hotspots in LIS focus on the related knowledge of interdisciplinary information management and analysis, but the output ability of professional core knowledge is insufficient.
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