---
title: "Yandi Wang · Tianjin University — author profile and papers"
description: "Yandi Wang, Tianjin University: 2 papers on Elamur Research (2025–2026), h-index 2 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/yandi-wang/"
---
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# Yandi Wang

Yandi Wang has 2 papers in our library, in 2025–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Leilei Gan](https://md.research.elamur.ai/free/en/authors/leilei-gan/), [Ziwei Huang](https://md.research.elamur.ai/free/en/authors/ziwei-huang/), [Fei Qing Wu](https://md.research.elamur.ai/free/en/authors/fei-qing-wu/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5113033304) · [ORCID](https://orcid.org/0009-0004-4509-0609) · [**h-index 2**](https://openalex.org/authors/A5113033304) · [6 works](https://openalex.org/works?filter=author.id:A5113033304) · [12 citations](https://openalex.org/works?filter=author.id:A5113033304&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/yandi-wang/#papers) · [🔗 Cited 6 times in our library](https://md.research.elamur.ai/free/en/authors/yandi-wang/cited-by/) · [⭐ Paper Stars ranking: #10203](https://md.research.elamur.ai/free/en/paper-stars/page/103/#star-10203)

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

## Affiliations

[🎓**Tianjin University** Tianjin · China 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/tianjin-university/) · [🎓**Jilin Agricultural University** Changchun · China 2023–2024 · 2 papers](https://ror.org/05dmhhd41)

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 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/) · [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/)

🧭 Topics 2 Research subjects and languages the work is about.[Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/yandi-wang/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/yandi-wang/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[T2I-FactualBench: Benchmarking the Factuality of Text-to-Image Models with Knowledge-Intensive Concepts](https://md.research.elamur.ai/free/en/papers/huang-2025-t2i-factualbench-benchmarking-factuality-text/)** *(2025 · 8 citations)* Most text-to-image (T2I) evaluation measures prompt alignment, image quality or object composition. It rarely checks whether models depict specific real-world entities correctly, such as a particular handbag model, landmark or dog breed. To fill this gap, the authors built T2I-FactualBench, which they describe as the…
2. **[From Recognition to Reasoning: Benchmarking and Enhancing MLLMs on Real-World Receipt Document Understanding](https://md.research.elamur.ai/free/en/papers/wang-2026-recognition-reasoning-benchmarking-enhancing-mllms/)** *(2026)* The paper addresses Visual Information Extraction (VIE) from receipts and invoices. Existing benchmarks are small, synthetic, or limited to narrow domains, and they mostly test literal text extraction. The authors introduce ReceiptBench, a human-annotated collection of 10,656 real-world financial documents, including…

## Co-authors here

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

- [Leilei Gan](https://md.research.elamur.ai/free/en/authors/leilei-gan/) ×2
- [Ziwei Huang](https://md.research.elamur.ai/free/en/authors/ziwei-huang/) ×2
- [Fei Qing Wu](https://md.research.elamur.ai/free/en/authors/fei-qing-wu/)
- [Jun Chen](https://md.research.elamur.ai/free/en/authors/jun-chen/)
- [Yuxuan Jiang](https://md.research.elamur.ai/free/en/authors/yuxuan-jiang/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)

## Cited by

Papers of our library cite their works 6 times (of the 149,439 papers whose bibliographies we read); [3 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yandi-wang/cited-by/).

Updated 1 November 2026
