--- title: "Jiapu Wang — author profile and papers — Elamur Research" description: "Jiapu Wang, Nanjing University of Science and Technology: 3 papers on Elamur Research (2023–2026), h-index 10 — affiliations, topics…" canonical: "https://research.elamur.ai/free/en/authors/jiapu-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jiapu-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jiapu Wang # Jiapu Wang Jiapu Wang has 3 papers in our library, in 2023–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/); often with [Erik Cambria](https://md.research.elamur.ai/free/en/authors/erik-cambria/), [Haoran Luo](https://md.research.elamur.ai/free/en/authors/haoran-luo/), [Rui Mao](https://md.research.elamur.ai/free/en/authors/rui-mao/). 3 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5010757894) · [ORCID](https://orcid.org/0000-0001-7639-5289) · [**h-index 10**](https://openalex.org/authors/A5010757894) · [22 works](https://openalex.org/works?filter=author.id:A5010757894) · [1,524 citations](https://openalex.org/works?filter=author.id:A5010757894&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/jiapu-wang/#papers) · [🔗 Cited 232 times in our library](https://md.research.elamur.ai/free/en/authors/jiapu-wang/cited-by/) · [⭐ Paper Stars ranking: #1802](https://md.research.elamur.ai/free/en/paper-stars/page/19/#star-1802) 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=Jiapu+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jiapu+Wang) · [dblp](https://dblp.org/search?q=Jiapu+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Jiapu+Wang) ## Affiliations [🎓**Beijing University of Technology** Beijing · China 2022–2026 · 17 papers*current*](https://md.research.elamur.ai/free/en/universities/beijing-university-of-technology/) · [🎓**Nanjing University of Science and Technology** Nanjing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/nanjing-university-of-science-and-technology/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## 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).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Political Science and International Relations · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) 🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Legal AI · 1 work](https://md.research.elamur.ai/free/en/topics/legal-ai/) 💡 Concepts 3 Key ideas and methods explained on our concept pages.[Knowledge graph · 1 work](https://md.research.elamur.ai/free/en/concepts/knowledge-graph/) · [Large language models · 1 work](https://md.research.elamur.ai/free/en/concepts/large-language-models/) · [Artificial intelligence · 1 work](https://md.research.elamur.ai/free/en/concepts/artificial-intelligence/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/jiapu-wang/year/2026/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/jiapu-wang/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Unifying Large Language Models and Knowledge Graphs: A Roadmap](https://md.research.elamur.ai/free/en/papers/pan-2023-unifying-large-language-models-knowledge/)** *(2023 · 1,551 citations)* This survey asks how large language models and knowledge graphs can compensate for each other's weaknesses. 2. **[Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/liu-2026-prompt-r1-collaborative-automatic-prompting/)** *(2026 · 3 citations)* Many people struggle to write good prompts for hard problems, which keeps large language models from performing at their best. 3. **[LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligence](https://md.research.elamur.ai/free/en/papers/liu-2026-lexgenius-expert-level-benchmark-large/)** *(2026 · 2 citations)* Current legal benchmarks for LLMs mostly score final answers on technical tasks. They tend to ignore "soft" legal skills such as ethical judgment and assessing social impact, and their static public data may have leaked into training sets. LexGenius is a Chinese expert-level benchmark designed to probe legal general… ## Co-authors here 9 co-authors with a page, the most papers together first. - [Erik Cambria](https://md.research.elamur.ai/free/en/authors/erik-cambria/) ×2 - [Haoran Luo](https://md.research.elamur.ai/free/en/authors/haoran-luo/) ×2 - [Rui Mao](https://md.research.elamur.ai/free/en/authors/rui-mao/) ×2 - [Shirui Pan](https://md.research.elamur.ai/free/en/authors/shirui-pan/) ×2 - [Wenjin Liu](https://md.research.elamur.ai/free/en/authors/wenjin-liu/) ×2 - [Chen Chen](https://md.research.elamur.ai/free/en/authors/chen-chen/) - [Xindong Wu](https://md.research.elamur.ai/free/en/authors/xindong-wu/) - [Xueyuan Lin](https://md.research.elamur.ai/free/en/authors/xueyuan-lin/) - [Yufei Wang](https://md.research.elamur.ai/free/en/authors/yufei-wang/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2 - [IEEE Transactions on Knowledge and Data Engineering](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-knowledge-and-data-engineering/): [IEEE Transactions on Knowledge and Data Engineering 2023](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-knowledge-and-data-engineering/2023/) ## Cited by Papers of our library cite their works 232 times (of the 149,439 papers whose bibliographies we read); [34 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jiapu-wang/cited-by/). Updated 31 October 2026