---
title: "Who cites Medical Graph RAG: — 12 citing papers"
description: "12 papers of the Elamur Research library cite «Medical Graph RAG: Evidence-based Medical Large Language Model via Graph…"
canonical: "https://research.elamur.ai/free/en/papers/wu-2025-medical-graph-rag-evidence-based/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Medical Graph RAG: Evidence-based Medical Large…](https://md.research.elamur.ai/free/en/papers/wu-2025-medical-graph-rag-evidence-based/) / cited by

# Who cites «Medical Graph RAG: Evidence-based Medical Large Language Model via Graph Retrieval-Augmented Generation»

12 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «Medical Graph RAG: Evidence-based Medical Large Language Model via Graph Retrieval-Augmented Generation»](https://md.research.elamur.ai/free/en/papers/wu-2025-medical-graph-rag-evidence-based/)

1. **[QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/min-2026-quco-rag-quantifying-uncertainty-pre/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dehai Min, Kailin Zhang, Tongtong Wu, et al.*2026 · 2 citations*
2. **[AIDA-SEAT: Towards Reliable AI Doctor Assistant via State-Evaluation-Action Tree Enhanced LLMs in Online Hospital](https://md.research.elamur.ai/free/en/papers/sun-2026-aida-seat-reliable-ai-doctor/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lianxin Sun, Xiaoying Ying, Guangya Yu, et al.*2026*
3. **[LLM-Based Multi-Agent Systems for Clinical Workflows: A Survey of AI Hospitals](https://md.research.elamur.ai/free/en/papers/yao-2026-llm-based-multi-agent-systems/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zonghai Yao, Hong yu*2026*
4. **[MediEval: A Unified Medical Benchmark for Patient-Contextual and Knowledge-Grounded Reasoning in LLMs](https://md.research.elamur.ai/free/en/papers/qu-2026-medieval-unified-medical-benchmark-patient/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhan Qu, Michael Färber*2026*
5. **[ReX-GG: A LLM Ensemble Pipeline for Relation-extraction and Graph Generation](https://md.research.elamur.ai/free/en/papers/magnifico-2026-rex-gg-llm-ensemble-pipeline/) [Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26](https://md.research.elamur.ai/free/en/venues/kallm/)**Giacomo Magnifico, Eduard Barbu*2026*

7 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/wu-2025-medical-graph-rag-evidence-based/) — Medical Graph RAG: Evidence-based Medical Large Language Model via Graph Retrieval-Augmented Generation