基于<bold>CCA</bold>的学术论文画像：理论框架与实证研究

doi:10.3772/j.issn.1000-0135.2026.03.004

情报学报

2026, Vol. 45

Issue (3): 363-375 DOI: 10.3772/j.issn.1000-0135.2026.03.004

情报理论与方法

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基于CCA的学术论文画像：理论框架与实证研究

王心玥, 赵丹群

北京大学信息管理系，北京 100871

Academic Paper Profiling Based on CCA: A Theoretical Framework and Empirical Study

Wang Xinyue, Zhao Danqun

Department of Information Management, Peking University, Beijing 100871

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摘要学术论文画像主要分为基于原文语料的静态画像和基于引文语料的动态画像两大类。本文聚焦后者，将最新的引文内容分析（citation content analysis，CCA）方法引入画像研究，通过收集同行引用语料对论文发表后产生的“学术影响”进行动态刻画和精准标识，画像成果对论文评价和学术资源检索/推荐等下游任务的解决具有重要支撑作用。首先，基于理论分析，构建“影响力-影响域-影响路径”三维度学术论文画像框架（impact power，impact field & impact path，Im-PFP）；其次，选择单篇高被引文献“Co-citation in the scientific literature：a new measure of the relationship between two documents”（Small，1973）作为研究案例，运用自建的完整引文语料集，开展论文画像实证研究。实证研究检验了所提三维度画像框架Im-PFP的普适性和应用价值，其可拓展到不同学科领域的单篇或多篇高被引论文的画像研究。画像结果不仅可对案例文献的学术生命周期进行阶段划分，还可对其学术影响力、影响域和影响路径的历时性变化进行深入解读和评价分析。

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关键词 ：论文画像, 引文内容分析, 生命周期, 引文主题识别, 主路径分析

收稿日期: 2025-06-05

作者简介: 王心玥，2000年生，博士研究生，研究方向为科学计量学；赵丹群，通信作者，1966年生，博士，教授，博士生导师，研究方向为科学计量学、引文分析与学术评价、信息检索与信息组织等，E-mail：zdq@pku.edu.cn；

引用本文:

王心玥, 赵丹群. 基于CCA的学术论文画像：理论框架与实证研究[J]. 情报学报, 2026, 45(3): 363-375.
Wang Xinyue, Zhao Danqun. Academic Paper Profiling Based on CCA: A Theoretical Framework and Empirical Study. 情报学报, 2026, 45(3): 363-375.

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https://qbxb.istic.ac.cn/CN/10.3772/j.issn.1000-0135.2026.03.004 或 https://qbxb.istic.ac.cn/CN/Y2026/V45/I3/363

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