---
title: "Who cites Building a knowledge graph to — 42 citing papers"
description: "42 papers of the Elamur Research library cite «Building a knowledge graph to enable precision medicine», found in their bibliographies; the…"
canonical: "https://research.elamur.ai/free/en/papers/chandak-2023-building-knowledge-graph-enable-precision/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Building a knowledge graph to enable precision…](https://md.research.elamur.ai/free/en/papers/chandak-2023-building-knowledge-graph-enable-precision/) / cited by

# Who cites «Building a knowledge graph to enable precision medicine»

42 papers of our library cite it (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · [← back to «Building a knowledge graph to enable precision medicine»](https://md.research.elamur.ai/free/en/papers/chandak-2023-building-knowledge-graph-enable-precision/)

1. [**Retrieval-Augmented Generation with Graphs (GraphRAG) arXiv:2501.00309**Haoyu Han, Yu Wang, Harry Shomer, et al.*2025 · 87 citations*](https://md.research.elamur.ai/free/en/papers/han-2025-retrieval-augmented-generation-graphs-graphrag/)
2. [**BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical Science arXiv:2407.00466**Xinna Lin, Siqi Ma, Junjie Shan, et al.*2024 · 12 citations*](https://md.research.elamur.ai/free/en/papers/lin-2024-biokgbench-knowledge-graph-checking-benchmark/)
3. **[Fact Finder - Enhancing Domain Expertise of Large Language Models by Incorporating Knowledge Graphs](https://md.research.elamur.ai/free/en/papers/steinigen-2026-fact-finder-enhancing-domain-expertise/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Daniel Steinigen, Roman Teucher, Timm Heine Ruland, et al.*2026 · 4 citations*
4. **[TAGS: A Test-Time Generalist–Specialist Framework with Retrieval-Augmented Reasoning and Verification](https://md.research.elamur.ai/free/en/papers/wu-2026-tags-test-time-generalist-specialist/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jianghao Wu, Feilong Tang, Yulong Li, et al.*2026 · 1 citation*
5. **[Autonomous Knowledge Graph Exploration with Adaptive Breadth-Depth Retrieval](https://md.research.elamur.ai/free/en/papers/polonuer-2026-autonomous-knowledge-graph-exploration-adaptive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Joaquin Polonuer, Lucas Vittor, Iñaki Arango, et al.*2026*
6. **[From Regulatory Approvals to Patents: Cross-Domain Linking for Cardiovascular Device Traceability](https://md.research.elamur.ai/free/en/papers/yang-2026-regulatory-approvals-patents-cross-domain/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qingqing Yang, Haijiang Liu, Moyan Li*2026*
7. **[GraphRAG-Rad: Concept-Aware Radiology Report Generation via Latent Visual-Semantic Retrieval](https://md.research.elamur.ai/free/en/papers/safari-2026-graphrag-rad-concept-aware-radiology/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Faezeh Safari, Hang Dong, Zeyu Fu, et al.*2026*
8. **[Linking Knowledge to Care: Knowledge Graph-Augmented Medical Follow-Up Question Generation](https://md.research.elamur.ai/free/en/papers/sun-2026-linking-knowledge-care-knowledge-graph/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Liwen Sun, Xiang Yu, Ming Tan, et al.*2026*
9. **[MHGraphBench: Knowledge Graph-Grounded Benchmarking of Mental Health Knowledge in Large Language Models](https://md.research.elamur.ai/free/en/papers/liu-2026-mhgraphbench-knowledge-graph-grounded-benchmarking/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Weixin Liu, Congning Ni, Shelagh A. Mulvaney, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/chandak-2023-building-knowledge-graph-enable-precision/) — Building a knowledge graph to enable precision medicine
