| 刘天琳,陆桃妹,张芹.石油类高校高被引论文特征挖掘及影响因素研究—— 以中国石油大学（北京）为例[J].情报工程,2025,(1):119-127 |
| 石油类高校高被引论文特征挖掘及影响因素研究—— 以中国石油大学（北京）为例 |
| Research on the Characteristics and Influencing Factors of Highly Cited Papers in Petroleum Universities: Taking China University of Petroleum (Beijing) as an Example |
| |
| DOI： |
| 中文关键词: 石油类高校；高被引论文；特征挖掘；影响因素 |
| 英文关键词: Petroleum Universities; Highly Cited Papers; Feature Mining; Influencing Factors |
| 基金项目:中国石油大学（北京）研究生教育质量与创新工程重点项目子课题“AIGC 时代学术诚信教育与AI 学术伦理研究（yjs2024018）。 |
| 作者 | 单位 | | 刘天琳 | 中国石油大学（北京） 北京 102249 | | 陆桃妹 | 中国石油大学（北京） 北京 102249 | | 张芹 | 中国石油大学（北京） 北京 102249 |
|
| 摘要点击次数: 17 |
| 全文下载次数: 10 |
| 中文摘要: |
| [目的/意义]为提高石油类高校科研竞争力、国际影响力，梳理石油类高校高被引论文的整体情况，以供同行业高校在提升论文学术质量及实际应用价值方面参考。[方法/过程] 以中国石油大学（北京）2018―2023 年高被引论文为研究样本，总结了论文本身、期刊、作者及参考文献类型4 类21 个评价因素，综合运用随机森林方法，挖掘高被引论文的特征及影响因素。[结果/ 结论] 在论文本身方面，早期被引量、研究领域较重要；在期刊方面，期刊影响因子则是最为重要的因素；在作者方面，作者声誉反映了作者在学术界的地位和影响力，作者合作规模在一定程度上反映了研究团队的实力和合作能力；在参考文献方面，参考文献平均影响因子、参考文献的累计被引量两个指标需要关注。根据数据特征挖掘，提出了提升论文质量与创新性、优化论文发表策略等4 方面的提升石油类高校高被引论文数量的策略。 |
| 英文摘要: |
| [Objective/Significance] In order to improve the scientific research competitiveness and international influence of petroleum universities, the overall situation of highly cited papers in petroleum universities is sorted out, so as to provide reference for the same industry universities in improving the content, academic quality and practical application value of papers.[Methods/Processes] The author took the highly cited papers of China University of Petroleum (Beijing) in the past six years from 2018 to 2023 as research samples, and summarized twenty-one evaluation factors in four categories: the papers themselves,journals, authors and reference types. The random forest method was comprehensively applied to explore the characteristics and influencing factors of highly cited papers. [Results/Conclusions] The results show that: In terms of the papers themselves,the early citation amount and research field are more important; In terms of journals, journal impact factor is the most important factor. As for the author, the author reputation reflects the status and influence of the author in the academic circle, and the scale of the author cooperation reflects the strength and cooperation ability of the research team to some extent. In terms of references, the average impact factor of references and the cumulative number of references need to be paid attention to. Based on data feature mining, the paper puts forward four strategies to improve the number of highly cited papers in petroleum universities,including improving the quality and innovation of papers and optimizing the publishing strategy. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
