--- title: "Qianqian Dong · Shanxi University — author profile and papers" description: "Qianqian Dong, Shanxi University: 3 papers on Elamur Research (2020), h-index 12 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/qianqian-dong/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/qianqian-dong/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Qianqian Dong # Qianqian Dong Qianqian Dong has 3 papers in our library, in 2020, most of them on [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Named entity recognition](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Liang Xu](https://md.research.elamur.ai/free/en/authors/liang-xu/), [Xuanwei Zhang](https://md.research.elamur.ai/free/en/authors/xuanwei-zhang/), [Cong Yu](https://md.research.elamur.ai/free/en/authors/cong-yu/). 3 papers in our library · 2020 [OpenAlex](https://openalex.org/A5089516014) · [ORCID](https://orcid.org/0000-0003-4199-100X) · [**h-index 12**](https://openalex.org/authors/A5089516014) · [38 works](https://openalex.org/works?filter=author.id:A5089516014) · [734 citations](https://openalex.org/works?filter=author.id:A5089516014&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/qianqian-dong/#papers) · [🔗 Cited 228 times in our library](https://md.research.elamur.ai/free/en/authors/qianqian-dong/cited-by/) · [⭐ Paper Stars ranking: #4511](https://md.research.elamur.ai/free/en/paper-stars/page/46/#star-4511) 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=Qianqian+Dong) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Qianqian+Dong) · [dblp](https://dblp.org/search?q=Qianqian+Dong) · [ACL Anthology](https://aclanthology.org/search/?q=Qianqian+Dong) ## Affiliations [🎓**Shanxi University** Taiyuan · China 2024–2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/shanxi-university/) · [🎓**Anhui Medical University** Hefei · China 2026 · 1 paper*current*](https://ror.org/03xb04968) · [🎓**University of Science and Technology Beijing** Beijing · China 2019–2024 · 8 papers](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-beijing/) · [🏢**ByteDance** Beijing · China 2020–2021 · 4 papers](https://md.research.elamur.ai/free/en/companies/bytedance/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2018–2021 · 4 papers](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**Xinjiang University** Ürümqi · China 2025 · 3 papers](https://ror.org/059gw8r13) · [🔬**Institute of Automation** Beijing · China 2021 · 2 papers](https://md.research.elamur.ai/free/en/labs/institute-of-automation/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 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 · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](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.[Evaluation & benchmarks · 2 works](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Named entity recognition · 1 work](https://md.research.elamur.ai/free/en/topics/named-entity-recognition/) ## Works by year ### 2020s [**2020** 3 papers](https://md.research.elamur.ai/free/en/authors/qianqian-dong/year/2020/) ## Papers The most cited first (OpenAlex and our library). 1. **[CLUE: A Chinese Language Understanding Evaluation Benchmark](https://md.research.elamur.ai/free/en/papers/xu-2020-clue-chinese-language-understanding/)** *(2020 · 244 citations)* Shared benchmarks such as GLUE and SuperGLUE have driven progress in English NLU, but Chinese had no comparable standard. 2. **[CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese](https://md.research.elamur.ai/free/en/papers/xu-2020-cluener2020-fine-grained-named/)** *(2020 · 69 citations)* Chinese NER research has mostly relied on datasets with only a few coarse entity types (person, location, organization), and current models already score near 95 F1 on them. 3. **[CLUECorpus2020: A Large-scale Chinese Corpus for Pre-training Language Model](https://md.research.elamur.ai/free/en/papers/xu-2020-cluecorpus2020-large-scale-chinese/)** *(2020 · 57 citations)* Large English pre-training corpora such as C4 and WebText are openly available. Chinese has had only small public collections, such as Chinese Wikipedia (about 1 GB) and THUCTC (about 2 GB). The CLUE organization addresses this gap with CLUECorpus2020, also called C5. It contains roughly 100 GB of Chinese text taken… ## Co-authors here 9 co-authors with a page, the most papers together first. - [Liang Xu](https://md.research.elamur.ai/free/en/authors/liang-xu/) ×3 - [Xuanwei Zhang](https://md.research.elamur.ai/free/en/authors/xuanwei-zhang/) ×3 - [Cong Yu](https://md.research.elamur.ai/free/en/authors/cong-yu/) ×2 - [Lu Li](https://md.research.elamur.ai/free/en/authors/lu-li/) ×2 - [Yin Tian](https://md.research.elamur.ai/free/en/authors/yin-tian/) ×2 - [Dian Yu](https://md.research.elamur.ai/free/en/authors/dian-yu/) - [Hai Hu](https://md.research.elamur.ai/free/en/authors/hai-hu/) - [Kai Sun](https://md.research.elamur.ai/free/en/authors/kai-sun/) - [Yudong Li](https://md.research.elamur.ai/free/en/authors/yudong-li/) ## Cited by Papers of our library cite their works 228 times (of the 149,439 papers whose bibliographies we read); [56 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/qianqian-dong/cited-by/). Updated 1 November 2026