---
title: "Wenjing Zhang — author profile and papers — Elamur Research"
description: "Wenjing Zhang, Sir Run Run Shaw Hospital: 2 papers on Elamur Research (2024–2025), h-index 1 — affiliations, topics, co-authors and who…"
canonical: "https://research.elamur.ai/free/en/authors/wenjing-zhang/"
---
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# Wenjing Zhang

Wenjing Zhang has 2 papers in our library, in 2024–2025, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [English](https://md.research.elamur.ai/free/en/topics/english/); often with [Kai Wang](https://md.research.elamur.ai/free/en/authors/kai-wang/), [Ning Wang](https://md.research.elamur.ai/free/en/authors/ning-wang/), [Shiguo Lian](https://md.research.elamur.ai/free/en/authors/shiguo-lian/).

2 papers in our library · 2024–2025

[OpenAlex](https://openalex.org/A5102017868) · [ORCID](https://orcid.org/0009-0002-4320-2131) · [**h-index 1**](https://openalex.org/authors/A5102017868) · [5 works](https://openalex.org/works?filter=author.id:A5102017868) · [3 citations](https://openalex.org/works?filter=author.id:A5102017868&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/wenjing-zhang/#papers) · [🔗 Cited 58 times in our library](https://md.research.elamur.ai/free/en/authors/wenjing-zhang/cited-by/) · [⭐ Paper Stars ranking: #9450](https://md.research.elamur.ai/free/en/paper-stars/page/95/#star-9450)

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

## Affiliations

[🏥**Sir Run Run Shaw Hospital** Hangzhou · China *current*](https://ror.org/00ka6rp58) · [🎓**Zhejiang University** Hangzhou · China *current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university/) · [🎓**University of Science and Technology Beijing** Beijing · China 2023–2024 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-beijing/)

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 5 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/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

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

## Works by year

### 2020s

[**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/wenjing-zhang/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/wenjing-zhang/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[DAST: Difficulty-Adaptive Slow-Thinking for Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/shen-2025-dast-difficulty-adaptive-slow-thinking/)** *(2025 · 57 citations)* Slow-thinking reasoning models such as DeepSeek-R1 tend to "overthink." They spend hundreds or thousands of tokens on trivial questions.
2. **[Methodology of Adapting Large English Language Models for Specific Cultural Contexts](https://md.research.elamur.ai/free/en/papers/zhang-2024-methodology-adapting-large-english-language/)** *(2024 · 2 citations)* Leading LLMs are trained mostly on English, so they lack local knowledge and can clash with local values when used in another culture.

## Co-authors here

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

- [Kai Wang](https://md.research.elamur.ai/free/en/authors/kai-wang/) ×2
- [Ning Wang](https://md.research.elamur.ai/free/en/authors/ning-wang/) ×2
- [Shiguo Lian](https://md.research.elamur.ai/free/en/authors/shiguo-lian/) ×2
- [Zhaoxiang Liu](https://md.research.elamur.ai/free/en/authors/zhaoxiang-liu/) ×2
- [Jian Zhang](https://md.research.elamur.ai/free/en/authors/jian-zhang/)
- [Shuming Shi](https://md.research.elamur.ai/free/en/authors/shuming-shi/)
- [Yi Shen](https://md.research.elamur.ai/free/en/authors/yi-shen/)

## Cited by

Papers of our library cite their works 58 times (of the 149,439 papers whose bibliographies we read); [29 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/wenjing-zhang/cited-by/).

Updated 3 November 2026
