---
title: "Who cites Shallow Synthesis of Knowledge — 13 citing papers"
description: "13 papers of the Elamur Research library cite «Shallow Synthesis of Knowledge in GPT-Generated Texts: A Case Study in Automatic Related…"
canonical: "https://research.elamur.ai/free/en/papers/martin-boyle-2024-shallow-synthesis-knowledge-gpt-generated/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Shallow Synthesis of Knowledge in GPT-Generated…](https://md.research.elamur.ai/free/en/papers/martin-boyle-2024-shallow-synthesis-knowledge-gpt-generated/) / cited by

# Who cites «Shallow Synthesis of Knowledge in GPT-Generated Texts: A Case Study in Automatic Related Work Composition»

13 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 «Shallow Synthesis of Knowledge in GPT-Generated Texts: A Case Study in Automatic Related Work Composition»](https://md.research.elamur.ai/free/en/papers/martin-boyle-2024-shallow-synthesis-knowledge-gpt-generated/)

1. **[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/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Steffen Eger, Yong Cao, Jennifer D'Souza, et al.*2025 · 25 citations*
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*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/martin-boyle-2024-shallow-synthesis-knowledge-gpt-generated/) — Shallow Synthesis of Knowledge in GPT-Generated Texts: A Case Study in Automatic Related Work Composition