CNKI中CT诊断周围型肺癌高被引文献的计量分析

Bibliometric Analysis of Highly Cited Literature on CT Diagnosis of Peripheral Lung Cancer in CNKI

摘要: 目的：采用文献计量学方法系统分析2014~2024年CNKI数据库中CT诊断周围型肺癌的高被引文献特征，揭示领域研究热点、学术合作模式及发展脉络。方法：检索CNKI中主题为“CT”与“周围型肺癌”的期刊文献(2014年8月25日~2024年8月25日)。基于普赖斯定律确定高被引文献，利用Excel 2019统计文献特征，并绘制时序分布图。结果：共纳入高被引文献205篇(占总量29.29%)，年发文量呈波动下降趋势，2015年达峰值(33篇)，2024年降至0篇。《中国CT和MRI杂志》载文量(26篇)及总被引频次(464次)均居首位，篇均被引17.85次。署名3次以上者仅4人。广州医科大学发文量最高(8篇)。高频关键词包括“周围型肺癌”(102次)、“体层摄影术”(51次)、“多层螺旋CT”(33次)，聚焦CT征象分析与鉴别诊断。24.39%文献获基金资助(50篇)，其中国家级项目占29.63% (16/54项次)。结论：我国CT诊断周围型肺癌的研究以影像技术应用与征象分析为主体，近年来研究产出呈下降态势。未来研究需关注影像组学、人工智能等新技术的融合应用，并加强多模态数据整合以推动精准诊断的发展。

Abstract: Objective: This study employed bibliometric methods to systematically analyze the characteristics of highly cited literature on CT diagnosis of peripheral lung cancer in the CNKI database from 2014 to 2024, aiming to reveal research hotspots, academic collaboration patterns, and developmental trends in the field. Methods: Journal articles with the themes “CT” and “peripheral lung cancer” published between August 25, 2014, and August 25, 2024, were retrieved from CNKI. Highly cited literature was identified based on Price’s Law. Excel 2019 was used to statistically analyze literature characteristics, and a temporal distribution chart was generated. Results: A total of 205 highly cited articles were included (accounting for 29.29% of the total). The annual publication volume showed a fluctuating downward trend, peaking in 2015 (33 articles) and dropping to zero in 2024. Chinese Journal of CT and MRI (Zhongguo CT he MRI Zazhi) had the highest number of publications (26 articles) and total citation frequency (464 times), with an average of 17.85 citations per article. Only four authors signed their names more than three times. Guangzhou Medical University had the highest number of publications (8 articles). High-frequency keywords included “peripheral lung cancer” (102 times), “tomography” (51 times), and “multi-slice spiral CT” (33 times), focusing on CT sign analysis and differential diagnosis. A total of 24.39% of the literature (50 articles) received fund support, with national-level projects accounting for 29.63% (16/54 funding instances). Conclusion: Research on CT diagnosis of peripheral lung cancer in China primarily focuses on the application of imaging technology and sign analysis, with a declining trend in research output in recent years. Future studies should emphasize the integration of emerging technologies such as radiomics and artificial intelligence, as well as strengthen multi-modal data integration to advance the development of precision diagnosis.