现代情报2026，Vol.46Issue(6)：113-127,15.DOI:10.3969/j.issn.1008-0821.2026.06.010
科学计量学研究中人工智能算法提及情况与演化趋势分析
Analysis of the Mention and Evolutionary Trend Analysis of Artificial Intelligence Algorithms in Scientometric Research
摘要
Abstract
[Purpose/Significance]As intelligent digital technologies increasingly integrate into scientific research,research paradigms and analytical methods in scientometrics continue to evolve.The study aims to reveal the mention pa-tterns and evolutionary trends of AI algorithms in scientometrics literature.[Method/Process]Based on 6,989 full-text articles published in Scientometric since its inception,this study conducted full-text data extraction,applyed deep learning models for automatic section classification,and employed a fine-tuned large language model to automatically extract AI algo-rithm entities.[Result/Conclusion]Research indicates that AI and non-AI algorithms exhibit a clear pattern of functional differentiation and complementarity within scientometrics.Non-AI algorithms are characterized by broad coverage and stable occurrence,serving as foundational tools embedded throughout the research workflow for basic analysis and robust-ness checks.In contrast,AI algorithms demonstrate higher discussion intensity within individual publications,with con-centrated use in methodological design and results analysis,where they undertake core tasks such as complex pattern recog-nition,semantic modeling,and predictive inference.In recent years,AI models represented by BERT and GPT have expe-rienced rapid growth,and some of these algorithms simultaneously achieve high coverage and high levels of attention,driving a methodological shift from traditional statistical analysis toward text semantic understanding and complex system modeling.AI algorithms play a key role in enhancing analytical capabilities and driving methodological innovation in scientometrics.关键词
人工智能算法/科学计量学/全文本计量/演化分析Key words
artificial intelligence algorithms/scientometrics/full-text bibliometrics/evolutionary analysis分类
社会科学引用本文复制引用
杨思洛,杨翰霖,李龙飞..科学计量学研究中人工智能算法提及情况与演化趋势分析[J].现代情报,2026,46(6):113-127,15.基金项目
湖北省自然科学基金创新群体研究项目"以人为本的人工智能创新应用"(项目编号:2023AFA012). （项目编号:2023AFA012）
