| 孙莹,杨扬,施加加,鲁德志,张萍萍.颈部听诊法在吞咽障碍中应用的文献计量分析[J].中国康复,2026,41(4):227-233 |
| 颈部听诊法在吞咽障碍中应用的文献计量分析 |
| The application of cervical auscultation in dysphagia: a bibliometric analysis |
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| DOI：10.3870/zgkf.2026.04.007 |
| 中文关键词: 颈部听诊法 吞咽障碍 声学 可视化分析 文献计量学 |
| 英文关键词: cervical auscultation dysphagia acoustics visualization analysis bibliometrics |
| 基金项目:中国博士后科学基金面上资助计划（2025M772153） |
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| 中文摘要: |
| 目的:分析颈部听诊法应用于吞咽障碍的研究现状和前沿趋势。方法：在Web of Science核心合集数据库检索1965年至2024年的相关文献，使用VOSviewer和Citespace对年份、期刊、作者、机构、国家和关键词等进行文献计量与可视化分析。结果：最终纳入文献213篇，发文量（NP）呈逐年上升趋势，年增长率为11.13%。共有92种学术期刊发表了相关论文，收录期刊研究领域集中在医学和工程学。《Dysphagia》的NP为41篇，总被引频次（total citations, TC）为1484次，h指数=19，g指数=29，m指数=0.70，是该领域的核心期刊。美国NP占全球总NP的一半以上（51.64%），TC=1143次，h指数=21，学术影响力较高。共有300家机构开展相关研究，匹兹堡大学（NP=74篇，TC=795次，h指数=17，g指数=22，m指数=2.83）处于领先地位。共有668名作者发表过相关论文，Sejdic E、Coyle JL、Steele CM、Chau T总计TC＞500次。其中，Sejdic E（h指数=19，g指数=27，m指数=1.19）具有较高的学术成就。关键词 “生物力学测量”（biomechanical measurements）突现时间最早，“自动检测”（automatic detection）突现时间较长，“机器学习”（machine learning）和“深度学习”（deep learning） 突现时间最近。结论：全球范围内对颈部听诊法研究的关注度持续提升，目前研究主要集中在声学信号特征处理与分析上，在以人工智能技术为核心的新兴研究方法推动下，颈部听诊法有望进入新阶段。 |
| 英文摘要: |
| Objective: To analyze the current research status and emerging trends in the application of cervical auscultation for dysphagia.Methods: Relevant literature published between 1965 and 2024 was retrieved from the Web of Science Core Collection. Bibliometric and visual analyses of publication year, journals, authors, institutions, countries, and keywords were performed using VOSviewer and CiteSpace. Results: A total of 213 articles were included in the final analysis. The annual number of publications demonstrated a steady upward trend, with an average annual growth rate of 11.13%. Overall, 92 academic journals published research related to cervical auscultation, with primary research areas concentrated in medicine and engineering. Dysphagia was identified as the core journal in this field, and its number of publications (NP) reached 41, with 1,484 total citations (TC), an h-index of 19, a g-index of 29, and an m-index of 0.70. The United States accounted for more than half of the total global publications (51.64%) and exhibited the highest total citations (TC=1,143) and h-index (h-index=21), indicating substantial academic influence. Globally, 300 institutions contributed to research on cervical auscultation, among which the University of Pittsburgh ranked first (NP=74, TC=795, h-index=17, g-index=22, m-index=2.83). A total of 668 authors published related studies. Sejdic E, Coyle JL, Steele CM, and Chau T collectively accumulated more than 500 total citations, with Sejdic E demonstrating notable academic impact (h-index=19, g-index=27, m-index=1.19). In keyword analysis, "biomechanical measurement" appeared earliest, "automatic separation" emerged relatively later, while "machine learning" and "deep learning" appeared most recently, reflecting evolving research priorities. Conclusion: Global research interest in cervical auscultation continues to increase. Current studies mainly focus on the processing and analysis of acoustic signal characteristics, and with the integration of artificial intelligence-based methodologies, this field is entering a new stage of development. |
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