---
title: "Who cites Guoxiong Gao — 49 papers of our library"
description: "49 papers of the Elamur Research library cite the works of Guoxiong Gao, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/guoxiong-gao/cited-by/"
---
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# Who cites Guoxiong Gao

59 citations of their works from 49 papers of our library (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← Guoxiong Gao](https://md.research.elamur.ai/free/en/authors/guoxiong-gao/)

1. **[ATLAS: Autoformalizing Theorems through Lifting, Augmentation, and Synthesis of Data](https://md.research.elamur.ai/free/en/papers/liu-2025-atlas-autoformalizing-theorems-through-lifting/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Xiaoyang Liu, Kangjie Bao, Jiashuo Zhang, et al.*2025 · 16 citations*
2. [**REAL-Prover: Retrieval Augmented Lean Prover for Mathematical Reasoning arXiv:2505.20613**Ziju Shen, Naohao Huang, Fanyi Yang, et al.*2025 · 10 citations*](https://md.research.elamur.ai/free/en/papers/shen-2025-real-prover-retrieval-augmented-lean/)
3. [**StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs through Knowledge-Reasoning Fusion arXiv:2508.04440**Yutong Wu, Di Huang, Ruosi Wan, et al.*2025 · 7 citations*](https://md.research.elamur.ai/free/en/papers/wu-2025-stepfun-formalizer-unlocking-autoformalization/)
4. **[FormalScience: Scalable Human-in-the-Loop Autoformalisation of Science with Agentic Code Generation in Lean](https://md.research.elamur.ai/free/en/papers/meadows-2026-formalscience-scalable-human-loop-autoformalisation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jordan Meadows, Lan Zhang, Andre Freitas*2026*

45 more citing papers of our library have no page here yet.

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