---
title: "Who cites Wenkai Zhang — 20 papers of our library"
description: "20 papers of the Elamur Research library cite the works of Wenkai Zhang, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/wenkai-zhang/cited-by/"
---
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# Who cites Wenkai Zhang

21 citations of their works from 20 papers of our library (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · [← Wenkai Zhang](https://md.research.elamur.ai/free/en/authors/wenkai-zhang/)

1. **[DeepPresenter: Environment-Grounded Reflection for Agentic Presentation Generation](https://md.research.elamur.ai/free/en/papers/zheng-2026-deeppresenter-environment-grounded-reflection-agentic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hao Zheng, Guozhao Mo, Xinru Yan, et al.*2026 · 3 citations*
2. **[Automatic Slide Updating with User-Defined Dynamic Templates and Natural Language Instructions](https://md.research.elamur.ai/free/en/papers/zhou-2026-automatic-slide-updating-user-defined/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kun Zhou, Jiakai He, Wenmian Yang, et al.*2026*
3. **[From Fluent to Useful: Generative AI That Models Purpose, Audience, and Presenter for Scientific Communication](https://md.research.elamur.ai/free/en/papers/mondal-2026-fluent-useful-generative-ai-that/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ishani Mondal*2026*
4. **[MAST: A Multi-View Alignment Strategy for Optimal Transport-Based Contrastive Clustering of Short Text](https://md.research.elamur.ai/free/en/papers/zheng-2026-mast-multi-view-alignment-strategy/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zijian Zheng, Yonghe Lu*2026*
5. **[MemSearcher: Iterative Memory Integration for Search Agent via End-to-End Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/yuan-2026-memsearcher-iterative-memory-integration-search/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qianhao Yuan, Jie Lou, Zichao Li, et al.*2026*

15 more citing papers of our library have no page here yet.

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