---
title: "Shaonan Wang — author profile and papers — Elamur Research"
description: "Shaonan Wang, Fujian Normal University: 2 papers on Elamur Research (2026), h-index 19 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/shaonan-wang/"
---
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# Shaonan Wang

Shaonan Wang has 2 papers in our library, in 2026, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Chong Li](https://md.research.elamur.ai/free/en/authors/chong-li/), [Xin Sun](https://md.research.elamur.ai/free/en/authors/xin-sun/), [Yang Zhao](https://md.research.elamur.ai/free/en/authors/yang-zhao/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5062722477) · [ORCID](https://orcid.org/0000-0001-5455-1359) · [**h-index 19**](https://openalex.org/authors/A5062722477) · [96 works](https://openalex.org/works?filter=author.id:A5062722477) · [1,228 citations](https://openalex.org/works?filter=author.id:A5062722477&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/shaonan-wang/#papers) · [🔗 Cited 56 times in our library](https://md.research.elamur.ai/free/en/authors/shaonan-wang/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #11680](https://md.research.elamur.ai/free/en/paper-stars/page/117/#star-11680)

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

## Affiliations

[🏛️**Chinese Academy of Sciences** Beijing · China 2018–2026 · 50 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🔬**Institute of Automation** Beijing · China 2017–2026 · 48 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-of-automation/) · [🔬**Hefei Institutes of Physical Science** Hefei · China 2020–2026 · 8 papers*current*](https://ror.org/046n57345) · [🎓**University of Science and Technology of China** Hefei · China 2020–2026 · 8 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🎓**Hong Kong Polytechnic University** Hong Kong · China 2025–2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/hong-kong-polytechnic-university/) · [🎓**Fujian Normal University** Fuzhou · China 2026 · 1 paper*current*](https://ror.org/020azk594) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2017–2025 · 34 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) · [🎓**Hebei University of Chinese Medicine** Shijiazhuang · China 2020–2024 · 5 papers](https://ror.org/02qxkhm81) · [🎓**University of Manchester** Manchester · United Kingdom 2010–2014 · 5 papers](https://md.research.elamur.ai/free/en/universities/university-of-manchester/) · [🎓**Beijing University of Chinese Medicine** Beijing · China 2018–2020 · 3 papers](https://ror.org/05damtm70)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 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 8 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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Cognitive Neuroscience · 1 work](https://md.research.elamur.ai/free/en/shelves/neuroscience/cognitive-neuroscience/) · [Neuroscience · 1 work](https://md.research.elamur.ai/free/en/shelves/neuroscience/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Developmental and Educational Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/developmental-and-educational-psychology/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/)

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

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/shaonan-wang/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Decoding the Multimodal Mind: Generalizable Brain-to-Text Translation via Multimodal Alignment and Adaptive Routing](https://md.research.elamur.ai/free/en/papers/ye-2026-decoding-multimodal-mind-generalizable-brain/)** *(2026 · 1 citation)* Most brain-to-text decoders map neural recordings onto a single representation type, such as image or text embeddings. This ignores the fact that perception is cross-modal: reading about a barking dog can also evoke sights and sounds. Ye et al. build a unified decoder on Qwen2.5-Omni that addresses this gap.
2. **[ChineseDevBench: A Chinese Developmental Benchmark for Language Development](https://md.research.elamur.ai/free/en/papers/wang-2026-chinesedevbench-chinese-developmental-benchmark-language/)** *(2026)* Data-efficient language models (e.g., BabyLM) are trained on roughly child-sized input, yet they are mostly evaluated with adult-oriented English benchmarks and seldom compared with real child behavior.

## All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. **[NCLS: Neural Cross-Lingual Summarization ↗](https://aclanthology.org/D19-1302/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Junnan Zhu et al.*2019 · 174 citations*
2. **[Decoding the Multimodal Mind: Generalizable Brain-to-Text Translation via Multimodal Alignment and Adaptive Routing](https://md.research.elamur.ai/free/en/papers/ye-2026-decoding-multimodal-mind-generalizable-brain/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chunyu Ye, Yunhao Zhang, Jingyuan Sun, et al.*2026 · 1 citation*
3. **[ChineseDevBench: A Chinese Developmental Benchmark for Language Development](https://md.research.elamur.ai/free/en/papers/wang-2026-chinesedevbench-chinese-developmental-benchmark-language/) [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/)**Shaonan Wang, Yiwen Wu, Na Li, et al.*2026*

## Co-authors here

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

- [Chong Li](https://md.research.elamur.ai/free/en/authors/chong-li/)
- [Xin Sun](https://md.research.elamur.ai/free/en/authors/xin-sun/)
- [Yang Zhao](https://md.research.elamur.ai/free/en/authors/yang-zhao/)
- [Yaran Chen](https://md.research.elamur.ai/free/en/authors/yaran-chen/)

## Venues

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

- [Workshop on Cognitive Modeling and Computational Linguistics (CMCL)](https://md.research.elamur.ai/free/en/venues/cmcl/): [CMCL 2026](https://md.research.elamur.ai/free/en/venues/cmcl/2026/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)
- Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

## Cited by

Papers of our library cite their works 56 times (of the 149,439 papers whose bibliographies we read); [1 citing paper with a page here →](https://md.research.elamur.ai/free/en/authors/shaonan-wang/cited-by/).

Updated 1 November 2026
