近年来，深度学习（DL）的应用在各个领域取得了巨大进展，特别是在癌症研究方面。然而，迄今为止，关于深度学习在癌症中应用的文献计量分析还很少。因此，本研究旨在探讨DL在癌症中应用的研究现状和热点。我们从Web of Science数据库Core Collection数据库中检索了DL在癌症中应用的所有文章。使用 Biblioshiny、VOSviewer 和 CiteSpace 通过分析数字、引用、国家、机构、作者、期刊、参考文献和关键词来进行文献计量分析。我们发现了 6,016 篇关于 DL 在癌症中应用的原创文章。年度发文量和总被引次数总体呈上升趋势。中国发表的文章数量最多，美国的总引用量最高，沙特阿拉伯的中心度最高。中国科学院是生产力最高的机构。田杰发表文章数量最多，何凯明为共同被引次数最多的作者。 IEEE Access 是最受欢迎的期刊。参考文献和关键词分析表明，DL主要用于乳腺癌、肺癌、皮肤癌的预测、检测、分类和诊断。总体而言，DL在癌症中应用的文章数量逐渐增多。未来，进一步扩大和提高深度学习应用的应用范围和准确性，并将深度学习与蛋白质预测、基因组学和癌症研究相结合可能是研究趋势。© 2024。作者。

Recently, the application of deep learning (DL) has made great progress in various fields, especially in cancer research. However, to date, the bibliometric analysis of the application of DL in cancer is scarce. Therefore, this study aimed to explore the research status and hotspots of the application of DL in cancer.We retrieved all articles on the application of DL in cancer from the Web of Science database Core Collection database. Biblioshiny, VOSviewer and CiteSpace were used to perform the bibliometric analysis through analyzing the numbers, citations, countries, institutions, authors, journals, references, and keywords.We found 6,016 original articles on the application of DL in cancer. The number of annual publications and total citations were uptrend in general. China published the greatest number of articles, USA had the highest total citations, and Saudi Arabia had the highest centrality. Chinese Academy of Sciences was the most productive institution. Tian, Jie published the greatest number of articles, while He Kaiming was the most co-cited author. IEEE Access was the most popular journal. The analysis of references and keywords showed that DL was mainly used for the prediction, detection, classification and diagnosis of breast cancer, lung cancer, and skin cancer.Overall, the number of articles on the application of DL in cancer is gradually increasing. In the future, further expanding and improving the application scope and accuracy of DL applications, and integrating DL with protein prediction, genomics and cancer research may be the research trends.© 2024. The Author(s).