---
title: "Junde Wu · University of Oxford — author profile and papers"
description: "Junde Wu, University of Oxford: 3 papers on Elamur Research (2025), h-index 15 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/junde-wu/"
---
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# Junde Wu

Junde Wu has 3 papers in our library, in 2025, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Dialogue systems](https://md.research.elamur.ai/free/en/topics/dialogue-systems/); often with [Jiayuan Zhu](https://md.research.elamur.ai/free/en/authors/jiayuan-zhu/), [Min Xu](https://md.research.elamur.ai/free/en/authors/min-xu/), [Yueming Jin](https://md.research.elamur.ai/free/en/authors/yueming-jin/).

3 papers in our library · 2025

[OpenAlex](https://openalex.org/A5011430407) · [ORCID](https://orcid.org/0000-0002-7174-9276) · [**h-index 15**](https://openalex.org/authors/A5011430407) · [43 works](https://openalex.org/works?filter=author.id:A5011430407) · [1,405 citations](https://openalex.org/works?filter=author.id:A5011430407&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/junde-wu/#papers) · [🔗 Cited 34 times in our library](https://md.research.elamur.ai/free/en/authors/junde-wu/cited-by/) · [⭐ Paper Stars ranking: #6235](https://md.research.elamur.ai/free/en/paper-stars/page/63/#star-6235)

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=Junde+Wu) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Junde+Wu) · [dblp](https://dblp.org/search?q=Junde+Wu) · [ACL Anthology](https://aclanthology.org/search/?q=Junde+Wu)

## Affiliations

[🎓**University of Oxford** Oxford · United Kingdom 2024–2026 · 14 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-oxford/) · [🏢**Baidu** Beijing · China 2021–2023 · 8 papers](https://md.research.elamur.ai/free/en/companies/baidu/) · [🎓**Harbin Institute of Technology** Harbin · China 2019–2020 · 5 papers](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🎓**National University of Singapore** Singapore · Singapore 2024–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/national-university-of-singapore/) · [🎓**South China University of Technology** Guangzhou · China 2023–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/south-china-university-of-technology/) · [🏢**Tencent** Shenzhen · China 2020–2021 · 2 papers](https://md.research.elamur.ai/free/en/companies/tencent/) · [🏢**Tencent Healthcare** Shenzhen · China 2020 · 2 papers](https://ror.org/019xckf23)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

## Fields, topics and concepts

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

📚 Shelves 10 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Medicine · 2 works](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Health Informatics · 2 works](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Biochemistry, Genetics and Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 4 Research subjects and languages the work is about.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Dialogue systems · 1 work](https://md.research.elamur.ai/free/en/topics/dialogue-systems/)

## Works by year

### 2020s

[**2025** 3 papers](https://md.research.elamur.ai/free/en/authors/junde-wu/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Medical Graph RAG: Evidence-based Medical Large Language Model via Graph Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/wu-2025-medical-graph-rag-evidence-based/)** *(2025 · 91 citations)* LLMs used in medicine have two weaknesses. Domain knowledge is too large to fit in a context window, and fine-tuning closed commercial models is often impossible. They may also distort established facts in ways that non-experts cannot easily detect. MedGraphRAG addresses both problems by adapting GraphRAG to the…
2. **[Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools](https://md.research.elamur.ai/free/en/papers/wu-2025-agentic-reasoning-streamlined-framework-enhancing/)** *(2025 · 45 citations)* Reasoning LLMs trained with outcome-based reinforcement learning do well in math and code, where answers are easy to check.
3. **[Ask Patients with Patience: Enabling LLMs for Human-Centric Medical Dialogue with Grounded Reasoning](https://md.research.elamur.ai/free/en/papers/zhu-2025-ask-patients-patience-enabling-llms/)** *(2025 · 10 citations)* LLMs score at expert level on medical exam benchmarks, but they work poorly as conversational assistants. They often diagnose from the first message without asking follow-up questions. Their reasoning is not tied to trusted clinical sources, and their tone tends to be impersonal. The authors present APP (Ask Patients…

## Co-authors here

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

- [Jiayuan Zhu](https://md.research.elamur.ai/free/en/authors/jiayuan-zhu/) ×3
- [Min Xu](https://md.research.elamur.ai/free/en/authors/min-xu/) ×2
- [Yueming Jin](https://md.research.elamur.ai/free/en/authors/yueming-jin/) ×2
- [Yuyuan Liu](https://md.research.elamur.ai/free/en/authors/yuyuan-liu/) ×2
- [Fenglin Liu](https://md.research.elamur.ai/free/en/authors/fenglin-liu/)
- [Jiazhen Pan](https://md.research.elamur.ai/free/en/authors/jiazhen-pan/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×2
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)

## Cited by

Papers of our library cite their works 34 times (of the 149,439 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/junde-wu/cited-by/).

Updated 31 October 2026
