--- title: "Suhang Wang — author profile and papers — Elamur Research" description: "Suhang Wang, Pennsylvania State University: 6 papers on Elamur Research (2024–2026), h-index 1 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/suhang-wang/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/suhang-wang/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Suhang Wang # Suhang Wang Suhang Wang has 6 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Xianren Zhang](https://md.research.elamur.ai/free/en/authors/xianren-zhang/), [Fali Wang](https://md.research.elamur.ai/free/en/authors/fali-wang/), [Jiahao Zhang](https://md.research.elamur.ai/free/en/authors/jiahao-zhang/). 6 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5139826621) · [**h-index 1**](https://openalex.org/authors/A5139826621) · [6 works](https://openalex.org/works?filter=author.id:A5139826621) · [2 citations](https://openalex.org/works?filter=author.id:A5139826621&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 6 works in our library](https://md.research.elamur.ai/free/en/authors/suhang-wang/#papers) · [🔗 Cited 55 times in our library](https://md.research.elamur.ai/free/en/authors/suhang-wang/cited-by/) · [⭐ Paper Stars ranking: #6863](https://md.research.elamur.ai/free/en/paper-stars/page/69/#star-6863) 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=Suhang+Wang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Suhang+Wang) · [dblp](https://dblp.org/search?q=Suhang+Wang) · [ACL Anthology](https://aclanthology.org/search/?q=Suhang+Wang) ## Affiliations [🎓**Pennsylvania State University** State College · United States 2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/pennsylvania-state-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).[Computer Science · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 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/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 5 Research subjects and languages the work is about.[Language models & pretraining · 4 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 3 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) ## Works by year ### 2020s [**2026** 5 papers](https://md.research.elamur.ai/free/en/authors/suhang-wang/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/suhang-wang/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs](https://md.research.elamur.ai/free/en/papers/jin-2024-graph-chain-thought-augmenting-large/)** *(2024 · 89 citations)* LLMs often hallucinate on knowledge-heavy questions. Standard retrieval augmentation treats each document as a separate unit, so it misses knowledge carried by links between texts, such as citations, co-purchases or legal references. Turning whole neighbourhoods into text is also impractical, because subgraphs grow… 2. **[Query-Efficient Agentic Graph Extraction Attacks on GraphRAG Systems](https://md.research.elamur.ai/free/en/papers/yang-2026-query-efficient-agentic-graph-extraction/)** *(2026 · 4 citations)* GraphRAG systems turn document collections into entity–relation knowledge graphs to support multi-hop reasoning. 3. **[A Functionality-Grounded Benchmark for Evaluating Web Agents in E-commerce Domains](https://md.research.elamur.ai/free/en/papers/zhang-2026-functionality-grounded-benchmark-evaluating-web/)** *(2026 · 2 citations)* Existing e-commerce benchmarks for web agents (WebShop, WebVoyager, DeepShop and others) mostly test product search. They also only check whether a task was finished, not whether the agent caused damage along the way. This paper presents Amazon-Bench, built on the live Amazon.com site. 4. **[Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models](https://md.research.elamur.ai/free/en/papers/wu-2026-image-corruption-inspired-membership-inference/)** *(2026 · 1 citation)* The paper asks whether someone holding only an image, with no caption, can tell if that image was in the training data of a large vision-language model (LVLM). 5. **[ToolDreamer: Instilling LLM Reasoning Into Tool Retrievers](https://md.research.elamur.ai/free/en/papers/sengupta-2026-tooldreamer-instilling-llm-reasoning-into/)** *(2026 · 1 citation)* LLMs that call tools cannot fit very large tool inventories into their context window, so an external retriever must pick candidate tools. 6. **[Graph-Assisted Large Language Models: A Perspective on Mitigating Intrinsic Limitations](https://md.research.elamur.ai/free/en/papers/luo-2026-graph-assisted-large-language-models/)** *(2026)* This survey asks how graph structures can offset three built-in weaknesses of large language models. The first is knowledge: static training leads to outdated facts, errors, and unwanted memorization. The second is reasoning: token-by-token generation produces linear chains that cannot branch or backtrack. The third… ## Co-authors here 12 of 19 co-authors with a page, the most papers together first. - [Xianren Zhang](https://md.research.elamur.ai/free/en/authors/xianren-zhang/) ×3 - [Fali Wang](https://md.research.elamur.ai/free/en/authors/fali-wang/) ×2 - [Jiahao Zhang](https://md.research.elamur.ai/free/en/authors/jiahao-zhang/) ×2 - [Minhua Lin](https://md.research.elamur.ai/free/en/authors/minhua-lin/) ×2 - [Xianfeng Tang](https://md.research.elamur.ai/free/en/authors/xianfeng-tang/) ×2 - [Zhiwei Zhang](https://md.research.elamur.ai/free/en/authors/zhiwei-zhang/) ×2 - [Bowen Jin](https://md.research.elamur.ai/free/en/authors/bowen-jin/) - [Chulin Xie](https://md.research.elamur.ai/free/en/authors/chulin-xie/) - [Di Wang](https://md.research.elamur.ai/free/en/authors/di-wang/) - [Dongwon Lee](https://md.research.elamur.ai/free/en/authors/dongwon-lee/) - [Hui Liu](https://md.research.elamur.ai/free/en/authors/hui-liu/) - [Jiawei Han](https://md.research.elamur.ai/free/en/authors/jiawei-han/) ## 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/) ×2 - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/) ×2: [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/) ×2 - [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/), [Findings of the Association for Computational Linguistics 2024](https://md.research.elamur.ai/free/en/venues/findings/2024/) ## Cited by Papers of our library cite their works 55 times (of the 149,439 papers whose bibliographies we read); [10 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/suhang-wang/cited-by/). Updated 1 November 2026