图书情报工作

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2026 , Vol. 70 >Issue 17: 109 - 122

DOI: https://doi.org/10.13266/j.issn.0252-3116.2026.17.008

研究论文

全文计量视角下睡美人论文量化识别与影响力评价研究

  • 王旭 ,
  • 石冬阳 ,
  • 薛宇菲 ,
  • 赵鸿玉
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  • 1 燕山大学经济管理学院 秦皇岛 066004;
    2 中国民航大学图书馆 天津 300300
王旭，副教授，博士，博士生导师；石冬阳，硕士研究生；薛宇菲，硕士研究生；赵鸿玉，馆员，硕士，通信作者，E-mail：zhaohy@cauc.edu.cn。

收稿日期: 2025-06-27

  修回日期: 2025-09-05

  网络出版日期: 2026-08-20

基金资助

本文系国家社会科学基金青年项目“面向自主知识体系建构的中国社会科学国际学术话语权评价与提升研究”（项目编号：24CTQ051）研究成果之一。

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Quantitative Identification and Impact Evaluation of Sleeping Beauty Papers from the Perspective of Full-Text Bibliometrics

  • Wang Xu ,
  • Shi Dongyang ,
  • Xue Yufei ,
  • Zhao Hongyu
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  • 1 School of Economics and Management, Yanshan University, Qinhuangdao 066004;
    2 Library of Civil Aviation University of China, Tianjin 300300
Wang Xu, Associate Professor, PhD, Doctoral Supervisor; Shi Dongyang, Master’s Candidate; Xue Yufei, Master’s Candidate; Zhao Hongyu, Librarian, Master, Corresponding Author, E-mail: zhaohy@cauc.edu.cn.

Received date: 2025-06-27

  Revised date: 2025-09-05

  Online published: 2026-08-20

Supported by

This work is supported by the project of National Social Science Fund of China titled “Research on the Evaluation and Enhancement of the International Academic Discourse Power of Chinese Social Science Oriented to the Construction of an Independent Knowledge System” (Grant No. 24CTQ051).

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摘要

[目的/意义]从全文计量视角开展睡美人论文量化识别与影响力评价研究，为睡美人论文的量化识别提供新型识别指标与方法，助力高价值睡美人论文发挥科学发展的推动作用。[方法/过程]以Web of Science数据库中管理学和计算机科学在1996—2014年发表的论文为数据来源。首先，使用改进后的YCPA (Yearly Cumulative Percentage of Attention)指数量化识别睡美人论文，并对识别效果进行检验。其次，从全文计量视角出发，以学术影响力、社会影响力、感知影响力三个维度构建睡美人论文影响力评价指标体系。再次，采用熵权法进行单维度和综合评价实证，并利用BP神经网络模型对评价结果进行验证。最后，通过分析睡美人论文特征学科差异性评价结果，分析睡美人论文沉睡和唤醒的特征。[结果/结论]研究表明：①改进后的YCPA指数具有良好的睡美人论文识别效果。②构建的全文计量视角下睡美人论文影响力评价指标体系实现了有效的单维度评价和综合评价。其中，社会影响力对其综合影响力正向影响最强；团队力量、研究跨学科性、期刊影响力显著提升睡美人论文学术影响力；官方政策提及、社交平台大众讨论显著提升社会影响力；施引文本的提及情感显著提升感知影响力。③分析了管理学和计算机科学睡美人论文沉睡和唤醒的特征。

关键词： 全文计量; 睡美人论文; 量化识别; 影响力评价; 学术影响力; 社会影响力; 感知影响力

本文引用格式

王旭 , 石冬阳 , 薛宇菲 , 赵鸿玉 . 全文计量视角下睡美人论文量化识别与影响力评价研究[J]. 图书情报工作, 2026 , 70(17) : 109 -122 . DOI: 10.13266/j.issn.0252-3116.2026.17.008

Abstract

[Purpose/Significance] This study conducts quantitative identification and impact evaluation of sleeping beauty papers from the perspective of full-text bibliometrics, provides new identification indicators and methods for the quantitative identification of sleeping beauty papers, and helps high-value sleeping beauty papers play a role in promoting scientific development. [Method/Process] This study utilizes papers published in the fields of management and computer science between 1996 and 2014 in the Web of Science database as the data source. First, an improved YCPA index is employed to quantitatively identify sleeping beauty papers, with the identification effectiveness being validated. Second, from the perspective of full-text bibliometrics, an evaluation index system for the impact of sleeping beauty papers is constructed, encompassing three dimensions: academic impact, social impact, and perceived impact. Third, the entropy weight method is applied to conduct empirical single-dimensional and comprehensive evaluations, and the evaluation results are verified using the BP neural network model. Finally, by analyzing the evaluation results of disciplinary differences in the characteristics of sleeping beauty papers, the features underlying the sleeping and awakening of them are examined. [Result/Conclusion] The conclusions are as follows.(1) The improved YCPA index has a good recognition effect on sleeping beauty papers.(2) The influence evaluation model of sleeping beauty papers constructed from the perspective of full-text bibliometrics has achieved effective signal and comprehensive evaluation. The social impact has the strongest positive influence on the comprehensive impact of sleeping beauty papers. Among various indicators, team strength, interdisciplinary span, and journal influence significantly enhance the academic impact of sleeping beauty papers. Official policies and public discussions on social media platforms significantly increase social impact. The mention of emotions in the cited texts significantly enhances the perceived impact.(3) This study analyzes the features of sleeping and awakening of sleeping beauty papers in management and computer science.

Key words： full-text bibliometric; sleeping beauty paper; quantitative identification; impact evaluation; academic impact; social impact; perceived impact

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