---
title: "Xing Jin · Nanjing Forestry University — author profile and papers"
description: "Xing Jin, Nanjing Forestry University: 2 papers on Elamur Research (2025), h-index 7 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/xing-jin/"
---
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# Xing Jin

Xing Jin has 2 papers in our library, in 2025, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Jiangjie Chen](https://md.research.elamur.ai/free/en/authors/jiangjie-chen/), [Jinyi Hu](https://md.research.elamur.ai/free/en/authors/jinyi-hu/), [Kangrui Wang](https://md.research.elamur.ai/free/en/authors/kangrui-wang/).

2 papers in our library · 2025

[OpenAlex](https://openalex.org/A5103217215) · [ORCID](https://orcid.org/0000-0001-6927-581X) · [**h-index 7**](https://openalex.org/authors/A5103217215) · [16 works](https://openalex.org/works?filter=author.id:A5103217215) · [156 citations](https://openalex.org/works?filter=author.id:A5103217215&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/xing-jin/#papers) · [🔗 Cited 86 times in our library](https://md.research.elamur.ai/free/en/authors/xing-jin/cited-by/) · [⭐ Paper Stars ranking: #8131](https://md.research.elamur.ai/free/en/paper-stars/page/82/#star-8131)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Xing+Jin) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Xing+Jin) · [dblp](https://dblp.org/search?q=Xing+Jin) · [ACL Anthology](https://aclanthology.org/search/?q=Xing+Jin)

## Affiliations

[🎓**Nanjing Forestry University** Nanjing · China 2023–2026 · 5 papers*current*](https://ror.org/03m96p165) · [🎓**Nanjing University of Science and Technology** Nanjing · China 2019–2022 · 4 papers](https://md.research.elamur.ai/free/en/universities/nanjing-university-of-science-and-technology/) · [🎓**China University of Geosciences** Wuhan · China 2017–2018 · 2 papers](https://md.research.elamur.ai/free/en/universities/china-university-of-geosciences/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/)

🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/xing-jin/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wang-2025-ragen-understanding-self-evolution-llm/)** *(2025 · 71 citations)* The paper asks how LLM agents can be trained with reinforcement learning to improve through their own experience in interactive settings.
2. **[Seed-Prover 1.5: Mastering Undergraduate-Level Theorem Proving via Learning from Experience](https://md.research.elamur.ai/free/en/papers/chen-2025-seed-prover-1-5/)** *(2025 · 19 citations)* Seed-Prover 1.5 (ByteDance Seed AI4Math) asks whether formal theorem proving in Lean can match the progress of natural-language LLM proving without large compute costs.

## Co-authors here

11 co-authors with a page, the most papers together first.

- [Jiangjie Chen](https://md.research.elamur.ai/free/en/authors/jiangjie-chen/)
- [Jinyi Hu](https://md.research.elamur.ai/free/en/authors/jinyi-hu/)
- [Kangrui Wang](https://md.research.elamur.ai/free/en/authors/kangrui-wang/)
- [Kefan Yu](https://md.research.elamur.ai/free/en/authors/kefan-yu/)
- [Linjie Li](https://md.research.elamur.ai/free/en/authors/linjie-li/)
- [Mingxuan Wang](https://md.research.elamur.ai/free/en/authors/mingxuan-wang/)
- [Qineng Wang](https://md.research.elamur.ai/free/en/authors/qineng-wang/)
- [Wenxiang Chen](https://md.research.elamur.ai/free/en/authors/wenxiang-chen/)
- [Xiaoran Jin](https://md.research.elamur.ai/free/en/authors/xiaoran-jin/)
- [Zhengyuan Yang](https://md.research.elamur.ai/free/en/authors/zhengyuan-yang/)
- [Zihan Wang](https://md.research.elamur.ai/free/en/authors/zihan-wang/)

## Cited by

Papers of our library cite their works 86 times (of the 149,439 papers whose bibliographies we read); [25 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xing-jin/cited-by/).

Updated 2 November 2026
