---
title: "Haohan Yuan — author profile and papers · Summarization"
description: "Haohan Yuan, University of North Carolina at Charlotte: 2 papers on Elamur Research (2025–2026), h-index 3 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/haohan-yuan/"
---
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# Haohan Yuan

Haohan Yuan has 2 papers in our library, in 2025–2026, most of them on [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Haopeng Zhang](https://md.research.elamur.ai/free/en/authors/haopeng-zhang/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5002795429) · [ORCID](https://orcid.org/0009-0001-1204-3484) · [**h-index 3**](https://openalex.org/authors/A5002795429) · [22 works](https://openalex.org/works?filter=author.id:A5002795429) · [33 citations](https://openalex.org/works?filter=author.id:A5002795429&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/haohan-yuan/#papers) · [🔗 Cited 19 times in our library](https://md.research.elamur.ai/free/en/authors/haohan-yuan/cited-by/) · [⭐ Paper Stars ranking: #9081](https://md.research.elamur.ai/free/en/paper-stars/page/91/#star-9081)

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

## Affiliations

[🎓**University of Hawaiʻi at Mānoa** Honolulu · United States 2025–2026 · 10 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-hawai-i-at-manoa/) · [🎓**China People's Public Security University** Beijing · China 2025–2026 · 4 papers*current*](https://ror.org/05twya590) · [🎓**University of North Carolina at Charlotte** Charlotte · United States 2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-north-carolina-at-charlotte/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 3 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Summarization · 2 works](https://md.research.elamur.ai/free/en/topics/summarization/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/haohan-yuan/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/haohan-yuan/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Understanding LLM Reasoning for Abstractive Summarization](https://md.research.elamur.ai/free/en/papers/yuan-2026-understanding-llm-reasoning-abstractive-summarization/)** *(2026 · 11 citations)* The paper asks whether the reasoning techniques that help LLMs with math and code also help abstractive summarization, a task built on compressing content rather than deriving answers.
2. **[StrucSum: Graph-Structured Reasoning for Long Document Extractive Summarization with LLMs](https://md.research.elamur.ai/free/en/papers/yuan-2025-strucsum-graph-structured-reasoning-long/)** *(2025 · 9 citations)* Large language models can choose summary sentences without training, but on long texts they often miss how the document is organized and which content is central.

## Co-authors here

1 co-author with a page, the most papers together first.

- [Haopeng Zhang](https://md.research.elamur.ai/free/en/authors/haopeng-zhang/) ×2

## Venues

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

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/), [Findings of the Association for Computational Linguistics 2025](https://md.research.elamur.ai/free/en/venues/findings/2025/)

## Cited by

Papers of our library cite their works 19 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/haohan-yuan/cited-by/).

Updated 30 October 2026
