---
title: "Jun Yan — author profile and papers"
description: "Jun Yan, Chongqing Jiulongpo People's Hospital: 2 papers on Elamur Research (2020–2023), h-index 29 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/jun-yan/"
---
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# Jun Yan

2 papers on this site · 2020–2023

current affiliation [Chongqing Jiulongpo People's Hospital](https://ror.org/057skcn66), Chongqing, China

Jun Yan has 2 papers on this site, in 2020–2023, most of them on [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Bill Yuchen Lin](https://md.research.elamur.ai/free/en/authors/bill-yuchen-lin/), [Lichang Chen](https://md.research.elamur.ai/free/en/authors/lichang-chen/), [Peifeng Wang](https://md.research.elamur.ai/free/en/authors/peifeng-wang/).

[OpenAlex](https://openalex.org/A5030330619) · [ORCID](https://orcid.org/0000-0003-2497-5518) · [**h-index 29**](https://openalex.org/authors/A5030330619) · [157 works](https://openalex.org/works?filter=author.id:A5030330619) · [2 772 citations](https://openalex.org/works?filter=author.id:A5030330619&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[2 works on this site](https://md.research.elamur.ai/free/en/authors/jun-yan/#papers) · [288 citations in our library](https://md.research.elamur.ai/free/en/authors/jun-yan/cited-by/)

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

## Affiliations

- [Chongqing Jiulongpo People's Hospital](https://ror.org/057skcn66) · Chongqing, China —current · 2026 on 1 paper
- [Huazhong University of Science and Technology](https://md.research.elamur.ai/free/en/universities/huazhong-university-of-science-and-technology/) · Wuhan, China —2010–2023 on 3 papers
- [Shaanxi Normal University](https://ror.org/0170z8493) · Xi'an, China —2018–2022 on 2 papers
- [Peking University](https://md.research.elamur.ai/free/en/universities/peking-university/) · Beijing, China —2004–2021 on 11 papers
- [Microsoft Research Asia (China)](https://md.research.elamur.ai/free/en/companies/microsoft-research-asia/) · Beijing, China —2006–2018 on 49 papers
- [Guizhou Normal University](https://ror.org/02x1pa065) · Guiyang, China —2010–2013 on 2 papers
- [Microsoft (United States)](https://md.research.elamur.ai/free/en/companies/microsoft/) · Redmond, United States —2008–2009 on 2 papers
- [PLA Information Engineering University](https://ror.org/00mm1qk40) · Zhengzhou, China —2009 on 2 papers
- [Harvard University](https://md.research.elamur.ai/free/en/universities/harvard-university/) · Cambridge, United States —2006–2008 on 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 24 more institutions on single bylines are not listed.

## Topics

[Question answering 1](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Reasoning 1](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2023** 1 paper](https://md.research.elamur.ai/free/en/papers/chen-2023-alpagasus-training-better-alpaca-fewer/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/papers/feng-2020-scalable-multi-hop-relational-reasoning/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering](https://md.research.elamur.ai/free/en/papers/feng-2020-scalable-multi-hop-relational-reasoning/)** *(2020 · 295 citations)* Knowledge-aware question answering often needs reasoning over chains of related concepts that a question does not state explicitly.
2. **[AlpaGasus: Training A Better Alpaca with Fewer Data](https://md.research.elamur.ai/free/en/papers/chen-2023-alpagasus-training-better-alpaca-fewer/)** *(2023 · 214 citations)* Instruction-tuning datasets produced by a teacher model often contain flawed examples. The 52k Alpaca set, generated by Text-Davinci-003, includes many responses that are wrong or off-topic. Such examples can mislead the fine-tuned model and make training cost more. Earlier cleanup efforts like Alpaca-cleaned…

## Co-authors here

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

- [Bill Yuchen Lin](https://md.research.elamur.ai/free/en/authors/bill-yuchen-lin/)
- [Lichang Chen](https://md.research.elamur.ai/free/en/authors/lichang-chen/)
- [Peifeng Wang](https://md.research.elamur.ai/free/en/authors/peifeng-wang/)
- [Shiyang Li](https://md.research.elamur.ai/free/en/authors/shiyang-li/)
- [Tianyi Zhou](https://md.research.elamur.ai/free/en/authors/tianyi-zhou/)
- [Vikas Yadav](https://md.research.elamur.ai/free/en/authors/vikas-yadav/)
- [Xiang Ren](https://md.research.elamur.ai/free/en/authors/xiang-ren/)

## Cited by

Papers of our library cite their works 288 times (of the 140 884 papers whose bibliographies we read); [23 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jun-yan/cited-by/).
