---
title: "Chenyang Wang · Nanjing University — author profile and papers"
description: "Chenyang Wang, Nanjing University: 2 papers on Elamur Research (2025), h-index 1 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/chenyang-wang/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/chenyang-wang/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Chenyang Wang

# Chenyang Wang

Chenyang Wang has 2 papers in our library, in 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/); often with [Shi Qiu](https://md.research.elamur.ai/free/en/authors/shi-qiu/), [Yang Yu](https://md.research.elamur.ai/free/en/authors/yang-yu/), [Yi Hu](https://md.research.elamur.ai/free/en/authors/yi-hu/).

2 papers in our library · 2025

[OpenAlex](https://openalex.org/A5121267011) · [ORCID](https://orcid.org/0009-0007-0526-1321) · [**h-index 1**](https://openalex.org/authors/A5121267011) · [1 works](https://openalex.org/works?filter=author.id:A5121267011) · [9 citations](https://openalex.org/works?filter=author.id:A5121267011&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/chenyang-wang/#papers) · [🔗 Cited 35 times in our library](https://md.research.elamur.ai/free/en/authors/chenyang-wang/cited-by/) · [⭐ Paper Stars ranking: #9800](https://md.research.elamur.ai/free/en/paper-stars/page/98/#star-9800)

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

## Affiliations

[🎓**Nanjing University** Nanjing · China 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/nanjing-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## 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).[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/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/)

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

## Works by year

### 2020s

[**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/chenyang-wang/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[A Survey on Large Language Models for Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2025-survey-large-language-models-mathematical/)** *(2025 · 26 citations)* This survey, by Peng-Yuan Wang et al. (mainly Nanjing University), maps how large language models became capable of solving mathematical problems. It contrasts this with older rule-based and semantic-parsing systems that relied heavily on hand engineering. The authors split the capability into two parts:
2. **[PHYBench: Holistic Evaluation of Physical Perception and Reasoning in Large Language Models](https://md.research.elamur.ai/free/en/papers/qiu-2025-phybench-holistic-evaluation-physical-perception/)** *(2025 · 21 citations)* Popular reasoning benchmarks for LLMs are nearly saturated, often built from public material that models may have seen in training, and sometimes contain faulty items or scoring rules.

## Co-authors here

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

- [Shi Qiu](https://md.research.elamur.ai/free/en/authors/shi-qiu/)
- [Yang Yu](https://md.research.elamur.ai/free/en/authors/yang-yu/)
- [Yi Hu](https://md.research.elamur.ai/free/en/authors/yi-hu/)
- [Ziniu Li](https://md.research.elamur.ai/free/en/authors/ziniu-li/)

## Venues

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

- [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/): [ACM Computing Surveys 2025](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/2025/)
- [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/)

## Cited by

Papers of our library cite their works 35 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/chenyang-wang/cited-by/).

Updated 3 November 2026
