--- title: "Who cites Yifei Yuan — 113 papers of our library" description: "113 papers of the Elamur Research library cite the works of Yifei Yuan, found in their bibliographies; the most cited first." canonical: "https://research.elamur.ai/free/en/authors/yifei-yuan/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/yifei-yuan/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Yifei Yuan](https://md.research.elamur.ai/free/en/authors/yifei-yuan/) / cited by # Who cites Yifei Yuan 113 citations of their works from 113 papers of our library (of the 149,439 whose bibliographies we read) · 13 with a page here, the most cited first · [← Yifei Yuan](https://md.research.elamur.ai/free/en/authors/yifei-yuan/) 1. **[Sentiment Analysis in the Era of Large Language Models: A Reality Check](https://md.research.elamur.ai/free/en/papers/zhang-2023-sentiment-analysis-era-large-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wenxuan Zhang, Yue Deng, Bing Liu, et al.*2023 · 506 citations* 2. **[German Aspect-based Sentiment Analysis in the Wild: B2B Dataset Creation and Cross-Domain Evaluation](https://md.research.elamur.ai/free/en/papers/fehle-2025-german-aspect-based-sentiment-analysis/) [Conference on Natural Language Processing](https://md.research.elamur.ai/free/en/venues/konvens/)**Jakob Fehle, Niklas Donhauser, Udo Kruschwitz, et al.*2025 · 3 citations* 3. **[looploop at SemEval-2026 Task 3: A Dimensional Aspect-Based Sentiment System with DeBERTa Regression and Qwen3 Instruction Fine-Tuning](https://md.research.elamur.ai/free/en/papers/yang-2026-looploop-semeval-2026-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Liu Yang, Gang Hu, Jing Li*2026 · 1 citation* 4. **[NCL-BU at SemEval-2026 Task 3: Fine-tuning XLM-RoBERTa for Multilingual Dimensional Sentiment Regression](https://md.research.elamur.ai/free/en/papers/wu-2026-ncl-bu-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Tong Wu, Nicolay Rusnachenko, Huizhi(elly) Liang*2026 · 1 citation* 5. **[Takoyaki at SemEval-2026 Task 3: Ensembling LLM Predictions using Demonstration Retrieval for Dimensional Aspect-based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/yamada-2026-takoyaki-semeval-2026-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Kosuke Yamada, Sho Takase, Ryosuke Kohita*2026 · 1 citation* 6. **[Team VYN at SemEval-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/thenuwara-2026-team-vyn-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Vishal Thenuwara, Widanalage De Mel, Nisansa De Silva*2026 · 1 citation* 7. **[TeamLasse at SemEval-2026 Task 3: A Hybrid Generative-Discriminative Framework for Dimensional Aspect-Based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/strothe-2026-teamlasse-semeval-2026-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Lasse Strothe*2026 · 1 citation* 8. **[DualAxis AI at SemEval-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/missaoui-2026-dualaxis-ai-semeval-2026-task/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Yahya Missaoui, Solomon Kebede, Mounika Marreddy, et al.*2026* 9. **[E-ABSA20K: A Dataset and Propose-and-Verify for Aspect-Based Sentiment Analysis in Long E-commerce Reviews](https://md.research.elamur.ai/free/en/papers/sun-2026-e-absa20k-dataset-propose-verify/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tong Sun, Mingyang Ma, Cheng Yu*2026* 10. **[Exploring Multilingual Pre-trained Language Model for Aspect-based Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/wang-2026-exploring-multilingual-pre-trained-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ye Wang, Ruijun Jiang, Zhongqing Wang, et al.*2026* 11. **[Extending Czech Aspect-Based Sentiment Analysis with Opinion Terms: Dataset and LLM Benchmarks](https://md.research.elamur.ai/free/en/papers/smid-2026-extending-czech-aspect-based-sentiment/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Jakub Šmíd, Pavel Priban, Pavel Kral*2026* 12. **[SCUZANE at SemEval-2026 Task 3: Dimensional Aspect-based Sentiment Analysis with Supervised Contrastive Regression and R-Drop Regularization](https://md.research.elamur.ai/free/en/papers/zhou-2026-scuzane-semeval-2026-task-3/) [International Workshop on Semantic Evaluation (SemEval)](https://md.research.elamur.ai/free/en/venues/semeval/)**Ziang Zhou, Xiangmei He, Chenhongyi Bai*2026* 13. **[Tree-CoT-RT: An Explainable Multi-Path Tree-Guided Chain-of-Thought and Reinforcement Learning Framework for Aspect Sentiment Quad Prediction](https://md.research.elamur.ai/free/en/papers/zhang-2026-tree-cot-rt-explainable-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hao Zhang, Jiahao Wang, Zhenke Duan, et al.*2026* 100 more citing papers of our library have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/authors/yifei-yuan/) — Yifei Yuan