---
title: "Who cites Transforming Science with Large — 15 citing papers"
description: "15 papers of the Elamur Research library cite «Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery…"
canonical: "https://research.elamur.ai/free/en/papers/eger-2025-transforming-science-large-language-models/cited-by/"
---
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# Who cites «Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation»

15 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation»](https://md.research.elamur.ai/free/en/papers/eger-2025-transforming-science-large-language-models/)

1. [**The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search arXiv:2504.08066**Yutaro Yamada, Robert Tjarko Lange, Cong Lu, et al.*2025 · 129 citations*](https://md.research.elamur.ai/free/en/papers/yamada-2025-ai-scientist-v2-workshop/)
2. **[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*
3. **[Experiments or Outcomes? Probing Scientific Feasibility in Large Language Models](https://md.research.elamur.ai/free/en/papers/mohammadi-2026-experiments-or-outcomes-probing-scientific/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Seyedali Mohammadi, Manas Gaur, Francis Ferraro*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/eger-2025-transforming-science-large-language-models/) — Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluation