---
title: "Yeali S. Sun — author profile and papers · Question answering"
description: "Yeali S. Sun, National Taiwan University: 2 papers on Elamur Research (2018), h-index 22 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/yeali-s-sun/"
---
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# Yeali S. Sun

Yeali S. Sun has 2 papers in our library, in 2018, most of them on [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [English](https://md.research.elamur.ai/free/en/topics/english/); often with [Meng Chang Chen](https://md.research.elamur.ai/free/en/authors/meng-chang-chen/), [Yi-Ting Huang](https://md.research.elamur.ai/free/en/authors/yi-ting-huang/).

2 papers in our library · 2018

[OpenAlex](https://openalex.org/A5080389605) · [ORCID](https://orcid.org/0000-0001-6382-5198) · [**h-index 22**](https://openalex.org/authors/A5080389605) · [128 works](https://openalex.org/works?filter=author.id:A5080389605) · [2,083 citations](https://openalex.org/works?filter=author.id:A5080389605&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yeali-s-sun/#papers) · 🔗 Cited 1 time in our library · [⭐ Paper Stars ranking: #10080](https://md.research.elamur.ai/free/en/paper-stars/page/101/#star-10080)

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

## Affiliations

[🎓**National Taiwan University** Taipei · Taiwan 1996–2024 · 99 papers*current*](https://md.research.elamur.ai/free/en/universities/national-taiwan-university/)

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 7 The field of science this work belongs to (OpenAlex fields).[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/) · [Psychology · 2 works](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Developmental and Educational Psychology · 2 works](https://md.research.elamur.ai/free/en/shelves/psychology/developmental-and-educational-psychology/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/)

🧭 Topics 3 Research subjects and languages the work is about.[English · 1 work](https://md.research.elamur.ai/free/en/topics/english/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/)

## Works by year

### 2010s

[**2018** 2 papers](https://md.research.elamur.ai/free/en/authors/yeali-s-sun/year/2018/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Development and Evaluation of a Personalized Computer-aided Question Generation for English Learners to Improve Proficiency and Correct Mistakes](https://md.research.elamur.ai/free/en/papers/huang-2018-development-evaluation-personalized-computer-aided/)** *(2018 · 6 citations)* Automatic question generation can turn any English text into practice items, but earlier generators produce many questions with no testing goal and no fit to the individual learner.
2. **[Characterizing the Influence of Features on Reading Difficulty Estimation for Non-native Readers](https://md.research.elamur.ai/free/en/papers/huang-2018-characterizing-influence-features-reading-difficulty/)** *(2018 · 3 citations)* Most readability formulas are tuned for native speakers, but people learning English as a second language acquire vocabulary and grammar gradually and in the order their courses teach them.

## Co-authors here

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

- [Meng Chang Chen](https://md.research.elamur.ai/free/en/authors/meng-chang-chen/) ×2
- [Yi-Ting Huang](https://md.research.elamur.ai/free/en/authors/yi-ting-huang/) ×2

## Cited by

Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read).

Updated 30 October 2026
