--- title: "Who cites Literature Meets Data: A — 9 citing papers" description: "9 papers of the Elamur Research library cite «Literature Meets Data: A Synergistic Approach to Hypothesis Generation», found in their…" canonical: "https://research.elamur.ai/free/en/papers/liu-2025-literature-meets-data-synergistic-approach/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/liu-2025-literature-meets-data-synergistic-approach/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Literature Meets Data: A Synergistic Approach to…](https://md.research.elamur.ai/free/en/papers/liu-2025-literature-meets-data-synergistic-approach/) / cited by # Who cites «Literature Meets Data: A Synergistic Approach to Hypothesis Generation» 9 papers of our library cite it (of the 149,439 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Literature Meets Data: A Synergistic Approach to Hypothesis Generation»](https://md.research.elamur.ai/free/en/papers/liu-2025-literature-meets-data-synergistic-approach/) 1. **[AI4Research: A Survey of Artificial Intelligence for Scientific Research](https://md.research.elamur.ai/free/en/papers/chen-2025-ai4research-survey-artificial-intelligence/) [Science China Information Sciences](https://md.research.elamur.ai/free/en/venues/science-china-information-sciences/)**Qiguang Chen, Mingda Yang, Libo Qin, et al.*2025 · 21 citations* 2. **[Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response Assistance](https://md.research.elamur.ai/free/en/papers/ma-2026-paper2rebuttal-multi-agent-framework-transparent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qianli Ma, Chang Guo, Zhiheng Tian, et al.*2026 · 5 citations* 7 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/liu-2025-literature-meets-data-synergistic-approach/) — Literature Meets Data: A Synergistic Approach to Hypothesis Generation