---
title: "Who cites Wan: Open and Advanced — 246 citing papers"
description: "246 papers of the Elamur Research library cite «Wan: Open and Advanced Large-Scale Video Generative Models», found in their…"
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---
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# Who cites «Wan: Open and Advanced Large-Scale Video Generative Models»

246 papers of our library cite it (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · [← back to «Wan: Open and Advanced Large-Scale Video Generative Models»](https://md.research.elamur.ai/free/en/papers/wan-2025-wan-open-advanced-large-scale/)

1. **[Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion](https://md.research.elamur.ai/free/en/papers/huang-2025-self-forcing-bridging-train-test/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Xun Huang, Zhengqi Li, Guande He, et al.*2025 · 146 citations*
2. [**Qwen-Image Technical Report arXiv:2508.02324**Chenfei Wu, Jiahao Li, Jingren Zhou, et al.*2025 · 92 citations*](https://md.research.elamur.ai/free/en/papers/wu-2025-qwen-image-technical-report/)
3. [**ERNIE 5.0 Technical Report arXiv:2602.04705**Haifeng Wang, Hua Wu, Tian Wu, et al.*2026 · 7 citations*](https://md.research.elamur.ai/free/en/papers/wang-2026-ernie-5-0-technical/)
4. [**DialectGen: Benchmarking and Improving Dialect Robustness in Multimodal Generation arXiv:2510.14949**Yu Zhou, Sohyun An, Haikang Deng, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2025-dialectgen-benchmarking-improving-dialect-robustness/)
5. **[Current Agents Fail to Leverage World Model as Tool for Foresight](https://md.research.elamur.ai/free/en/papers/qian-2026-current-agents-fail-leverage-world/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Cheng Qian, Emre Can Acikgoz, Bingxuan Li, et al.*2026 · 1 citation*
6. **[MAViS: A Multi-Agent Framework for Long-Sequence Video Storytelling](https://md.research.elamur.ai/free/en/papers/wang-2026-mavis-multi-agent-framework-long/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Qian Wang, Ziqi Huang, Ruoxi Jia, et al.*2026 · 1 citation*
7. **[MSVBench: Towards Human-Level Evaluation of Multi-Shot Video Generation](https://md.research.elamur.ai/free/en/papers/shi-2026-msvbench-human-level-evaluation-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haoyuan Shi, Yunxin li, Nanhao Deng, et al.*2026*
8. **[SCMAPR: Self-Correcting Multi-Agent Prompt Refinement for Complex-Scenario Text-to-Video Generation](https://md.research.elamur.ai/free/en/papers/yang-2026-scmapr-self-correcting-multi-agent/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chengyi Yang, Pengzhen Li, Jiayin Qi, et al.*2026*
9. **[Towards Unified Multimodal Large Language Models: A survey](https://md.research.elamur.ai/free/en/papers/ma-2026-unified-multimodal-large-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xu Ma, Yitian Zhang, Yun Fu*2026*

237 more papers of our library cite it; they have no page here yet.

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