--- title: "Who cites A Survey of Large Language — 47 citing papers" description: "47 papers of the Elamur Research library cite «A Survey of Large Language Models in Medicine: Progress, Application, and Challenge»…" canonical: "https://research.elamur.ai/free/en/papers/zhou-2023-survey-large-language-models-medicine/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/zhou-2023-survey-large-language-models-medicine/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [A Survey of Large Language Models in Medicine…](https://md.research.elamur.ai/free/en/papers/zhou-2023-survey-large-language-models-medicine/) / cited by # Who cites «A Survey of Large Language Models in Medicine: Progress, Application, and Challenge» 47 papers of our library cite it (of the 141,840 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «A Survey of Large Language Models in Medicine: Progress, Application, and Challenge»](https://md.research.elamur.ai/free/en/papers/zhou-2023-survey-large-language-models-medicine/) 1. [**A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics arXiv:2310.05694**Kai He, Rui Mao, Qika Lin, et al.*2023 · 86 citations*](https://md.research.elamur.ai/free/en/papers/he-2023-survey-large-language-models-healthcare/) **[Conversational Assistants to Support Patients with Heart Failure: Comparing a Neurosymbolic Architecture with GPT](https://md.research.elamur.ai/free/en/papers/tayal-2026-conversational-assistants-support-patients-heart/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Anuja Tayal, Devika Salunke, Barbara Di Eugenio, et al.*2026 · 1 citation* 44 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/zhou-2023-survey-large-language-models-medicine/) — A Survey of Large Language Models in Medicine: Progress, Application, and Challenge