---
title: "Jing Peng · Qingdao University — author profile and papers"
description: "Jing Peng, Qingdao University: 2 papers on Elamur Research (2020–2026), h-index 31 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/jing-peng/"
---
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# Jing Peng

Jing Peng has 2 papers in our library, in 2020–2026, most of them on [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [English](https://md.research.elamur.ai/free/en/topics/english/); often with [Anna Feldman](https://md.research.elamur.ai/free/en/authors/anna-feldman/), [Libby Barak](https://md.research.elamur.ai/free/en/authors/libby-barak/), [Whitney Poh](https://md.research.elamur.ai/free/en/authors/whitney-poh/).

2 papers in our library · 2020–2026

[OpenAlex](https://openalex.org/A5072128915) · [ORCID](https://orcid.org/0000-0001-5490-6228) · [Wikidata](https://www.wikidata.org/wiki/Q131162035) · [**h-index 31**](https://openalex.org/authors/A5072128915) · [273 works](https://openalex.org/works?filter=author.id:A5072128915) · [4,306 citations](https://openalex.org/works?filter=author.id:A5072128915&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jing-peng/#papers) · [⭐ Paper Stars ranking: #13662](https://md.research.elamur.ai/free/en/paper-stars/page/137/#star-13662)

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

## Affiliations

[🎓**Sichuan University** Chengdu · China 2004–2026 · 9 papers*current*](https://md.research.elamur.ai/free/en/universities/sichuan-university/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2022–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🎓**East China University of Technology** Nanchang · China 2026 · 1 paper*current*](https://ror.org/027385r44) · [🎓**Qingdao University** Qingdao · China 2026 · 1 paper*current*](https://ror.org/021cj6z65) · [🎓**Qingdao University of Science and Technology** Qingdao · China 2026 · 1 paper*current*](https://ror.org/041j8js14) · [🎓**Tsinghua Shenzhen International Graduate School** Shenzhen · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-shenzhen-international-graduate-school/) · [🎓**Tsinghua University** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🏥**West China Hospital of Sichuan University** Chengdu · China 2026 · 1 paper*current*](https://ror.org/007mrxy13) · [🏥**West China Medical Center of Sichuan University** Chengdu · China 2026 · 1 paper*current*](https://ror.org/040nggs60) · [🎓**University of Connecticut** Storrs · United States 2009–2025 · 28 papers](https://md.research.elamur.ai/free/en/universities/university-of-connecticut/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 66 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 6 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/) · [Communication · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/communication/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/)

🧭 Topics 3 Research subjects and languages the work is about.[English · 1 work](https://md.research.elamur.ai/free/en/topics/english/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/jing-peng/year/2026/) · [**2020** 1 paper](https://md.research.elamur.ai/free/en/authors/jing-peng/year/2020/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Challenges in Japanese Euphemism Classification: An Analysis of Pretrained Japanese and Multilingual Models](https://md.research.elamur.ai/free/en/papers/takahashi-2026-challenges-japanese-euphemism-classification-analysis/)** *(2026)* Euphemisms are difficult for NLP because whether a phrase is meant literally or euphemistically depends on context, social norms and pragmatic inference.
2. **[Linguistic Features in Automatic Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/ducret-2020-linguistic-features-automatic-sarcasm-detection/)** *(2020)* On the Twitter part of the FigLang 2020 sarcasm shared task (2,500 sarcastic and 2,500 non-sarcastic training tweets, each with its preceding tweets as context; labels from hashtags), the authors test interpretable features with a Random Forest: counts (characters, punctuation), complexity and style, and…

## Co-authors here

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

- [Anna Feldman](https://md.research.elamur.ai/free/en/authors/anna-feldman/) ×2
- [Libby Barak](https://md.research.elamur.ai/free/en/authors/libby-barak/)
- [Whitney Poh](https://md.research.elamur.ai/free/en/authors/whitney-poh/)

## Venues

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

- [Italian Conference on Computational Linguistics](https://md.research.elamur.ai/free/en/venues/clicit/): [Italian Conference on Computational Linguistics 2020](https://md.research.elamur.ai/free/en/venues/clicit/2020/)
- [Learning Non-Literal Expressions with Small Data @ LREC](https://md.research.elamur.ai/free/en/venues/nonliteral/): [Learning Non-Literal Expressions with Small Data @ LREC 2026](https://md.research.elamur.ai/free/en/venues/nonliteral/2026/)

Updated 1 November 2026
