--- title: "Who cites Haoyu Han — 59 papers of our library" description: "59 papers of the Elamur Research library cite the works of Haoyu Han, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/haoyu-han/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/haoyu-han/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Haoyu Han](https://md.research.elamur.ai/free/en/authors/haoyu-han/) / cited by # Who cites Haoyu Han 62 citations of their works from 59 papers of our library (of the 149,439 whose bibliographies we read) · 18 with a page here, the most cited first · [← Haoyu Han](https://md.research.elamur.ai/free/en/authors/haoyu-han/) 1. [**A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models arXiv:2501.13958**Qinggang Zhang, Shengyuan Chen, Yuanchen Bei, et al.*2025 · 64 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2025-survey-graph-retrieval-augmented-generation/) 2. **[Empowering GraphRAG with Knowledge Filtering and Integration](https://md.research.elamur.ai/free/en/papers/guo-2025-empowering-graphrag-knowledge-filtering-integration/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kai Guo, Harry Shomer, Shenglai Zeng, et al.*2025 · 12 citations* 3. [**You Don't Need Pre-built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures arXiv:2508.06105**Shengyuan Chen, Chuang Zhou, Zheng Yuan, et al.*2025 · 9 citations*](https://md.research.elamur.ai/free/en/papers/chen-2025-don-t-need-pre-built/) 4. **[LAD-RAG: Layout-aware Dynamic RAG for Visually-Rich Document Understanding](https://md.research.elamur.ai/free/en/papers/sourati-2026-lad-rag-layout-aware-dynamic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhivar Sourati, Zheng Wang, Marianne Menglin Liu, et al.*2026 · 4 citations* 5. **[Enrich-on-Graph: Query-Graph Alignment for Complex Reasoning with LLM Enriching](https://md.research.elamur.ai/free/en/papers/li-2025-enrich-graph-query-graph-alignment/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Songze Li, Zhiqiang Liu, Zhengke Gui, et al.*2025 · 4 citations* 6. **[RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and Benchmarking](https://md.research.elamur.ai/free/en/papers/zou-2026-rag-over-tables-hierarchical-memory/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiaru Zou, Dongqi Fu, Sirui Chen, et al.*2026 · 3 citations* 7. **[What Breaks Knowledge Graph based RAG? Benchmarking and Empirical Insights into Reasoning under Incomplete Knowledge](https://md.research.elamur.ai/free/en/papers/zhou-2026-what-breaks-knowledge-graph-based/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Dongzhuoran Zhou, Yuqicheng Zhu, Xiaxia Wang, et al.*2026 · 3 citations* 8. **[StructSurvey: Structured Agentic Retrieval for Automated Survey Paper Generation](https://md.research.elamur.ai/free/en/papers/pedinotti-2026-structsurvey-structured-agentic-retrieval-automated/) [Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era](https://md.research.elamur.ai/free/en/venues/surgellm/)**Paolo Pedinotti, Enrico Santus*2026 · 1 citation* 9. **[AgentGL: Towards Agentic Graph Learning with LLMs via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/sun-2026-agentgl-agentic-graph-learning-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuanfu Sun, Kang Li, Dongzhe Fan, et al.*2026* 10. **[Collision to Cognition: Hash-Driven Graph Construction for Efficient RAG](https://md.research.elamur.ai/free/en/papers/zhou-2026-collision-cognition-hash-driven-graph/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chuang Zhou, Zheng Yuan, Linhao Luo, et al.*2026* 11. **[Dissecting GraphRAG: A Modular Analysis of Knowledge Structuring for Factoid Question Answering](https://md.research.elamur.ai/free/en/papers/nishida-2026-dissecting-graphrag-modular-analysis-knowledge/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Noriki Nishida, Rumana Ferdous Munne, Shanshan Liu, et al.*2026* 12. **[GraphMind: LLMs as Dynamic Knowledge Builders for Sequential Decision-Making](https://md.research.elamur.ai/free/en/papers/shin-2026-graphmind-llms-as-dynamic-knowledge/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Sunguk Shin, Hayeong Lee, Jun Ho Seo, et al.*2026* 13. **[HiGoE: Hierarchical Graph of Evidence to Enhance Retrieval-Augmented Generation for Long-context Summarization](https://md.research.elamur.ai/free/en/papers/yuan-2026-higoe-hierarchical-graph-evidence-enhance/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Long Yuan, Kaiwen Tian, Zi Chen, et al.*2026* 14. **[KCVR: Knowledge-Centric Video Reconstruction for Structured Pedagogical Summarization via Dynamic Graph Planning](https://md.research.elamur.ai/free/en/papers/liu-2026-kcvr-knowledge-centric-video-reconstruction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jingjiang Liu, Jia Zhu, Hanghui Guo, et al.*2026* 15. **[LearnerCoMPASS: Intelligent Tutoring System with Dynamic Cognitive Diagnosis and Multi-Model Path Planning](https://md.research.elamur.ai/free/en/papers/sheng-2026-learnercompass-intelligent-tutoring-system-dynamic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziji Sheng, Guiyao Tie, Weidong Wang, et al.*2026* 16. **[LongTailQA: Benchmarking LLMs and RAG Models on Disambiguated Long-Tail Entities](https://md.research.elamur.ai/free/en/papers/xion-2026-longtailqa-benchmarking-llms-rag-models/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**William Xion, Uwe Hadler, Tim Cofala, et al.*2026* 17. **[Think Parallax: Solving Multi-Hop Problems via Multi-View Knowledge-Graph-Based Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/liu-2026-think-parallax-solving-multi-hop/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinliang Liu, Jiale Bai, Shaoning Zeng*2026* 18. **[Thought-Action Graph Reasoning: Faithful and Efficient Reasoning of Large Language Models via Reusing Past Experience](https://md.research.elamur.ai/free/en/papers/qi-2026-thought-action-graph-reasoning-faithful/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhixiao Qi, Feng Huang, Yunqi Zhang, et al.*2026* 41 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/haoyu-han/) — Haoyu Han