--- title: "Hang Ding — author profile and papers — Elamur Research" description: "Hang Ding, Shanghai Jiao Tong University: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/hang-ding/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/hang-ding/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Hang Ding # Hang Ding Hang Ding has 2 papers in our library, in 2026, most of them on [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Arman Cohan](https://md.research.elamur.ai/free/en/authors/arman-cohan/), [Haiyun Jiang](https://md.research.elamur.ai/free/en/authors/haiyun-jiang/), [Manasi Patwardhan](https://md.research.elamur.ai/free/en/authors/manasi-patwardhan/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5130397383) · [**h-index 1**](https://openalex.org/authors/A5130397383) · [1 works](https://openalex.org/works?filter=author.id:A5130397383) · [4 citations](https://openalex.org/works?filter=author.id:A5130397383&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/hang-ding/#papers) · [🔗 Cited 6 times in our library](https://md.research.elamur.ai/free/en/authors/hang-ding/cited-by/) · [⭐ Paper Stars ranking: #9934](https://md.research.elamur.ai/free/en/paper-stars/page/100/#star-9934) 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=Hang+Ding) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hang+Ding) · [dblp](https://dblp.org/search?q=Hang+Ding) · [ACL Anthology](https://aclanthology.org/search/?q=Hang+Ding) ## Affiliations [🎓**New York University Shanghai** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/new-york-university-shanghai/) · [🎓**Shanghai Jiao Tong University** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/shanghai-jiao-tong-university/) · [🎓**Yale University** New Haven · United States 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/yale-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/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 1 Research subjects and languages the work is about.[Information retrieval & search · 2 works](https://md.research.elamur.ai/free/en/topics/information-retrieval/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/hang-ding/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[SciRAG: Adaptive, Citation-Aware, and Outline-Guided Retrieval and Synthesis for Scientific Literature](https://md.research.elamur.ai/free/en/papers/ding-2026-scirag-adaptive-citation-aware-outline/)** *(2026 · 7 citations)* Scientific output keeps growing quickly, and existing retrieval-augmented generation (RAG) tools for literature QA have four main weaknesses. 2. **[ARK: Answer-Centric Retriever Tuning via KG-augmented Curriculum Learning](https://md.research.elamur.ai/free/en/papers/zhou-2026-ark-answer-centric-retriever-tuning/)** *(2026 · 3 citations)* ARK addresses a weakness of retrievers in long-context RAG. They are trained to match queries to similar text, so they often miss sparse passages that actually let a generator produce the right answer. The authors propose a fine-tuning recipe that targets answer usefulness instead of surface similarity. ## Co-authors here 5 co-authors with a page, the most papers together first. - [Arman Cohan](https://md.research.elamur.ai/free/en/authors/arman-cohan/) - [Haiyun Jiang](https://md.research.elamur.ai/free/en/authors/haiyun-jiang/) - [Manasi Patwardhan](https://md.research.elamur.ai/free/en/authors/manasi-patwardhan/) - [Tiansheng Hu](https://md.research.elamur.ai/free/en/authors/tiansheng-hu/) - [Yilun Zhao](https://md.research.elamur.ai/free/en/authors/yilun-zhao/) ## 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/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/) ## Cited by Papers of our library cite their works 6 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/hang-ding/cited-by/). Updated 31 October 2026