---
title: "Who cites Fei Li — 280 papers of our library — Elamur Research"
description: "280 papers of the Elamur Research library cite the works of Fei Li, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/fei-li/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/fei-li/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Fei Li](https://md.research.elamur.ai/free/en/authors/fei-li/) / cited by

# Who cites Fei Li

314 citations of their works from 280 papers of our library (of the 149,439 whose bibliographies we read) · 30 with a page here, the most cited first · [← Fei Li](https://md.research.elamur.ai/free/en/authors/fei-li/)

1. **[Unifying Large Language Models and Knowledge Graphs: A Roadmap](https://md.research.elamur.ai/free/en/papers/pan-2023-unifying-large-language-models-knowledge/) [IEEE Transactions on Knowledge and Data Engineering](https://md.research.elamur.ai/free/en/venues/ieee-transactions-on-knowledge-and-data-engineering/)**Shirui Pan, Linhao Luo, Yufei Wang, et al.*2023 · 1,551 citations*
2. [**ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPT arXiv:2302.10205**Xiang Wei; Xingyu Cui; Ning Cheng; Xiaobin Wang; Xin Zhang; Shen Huang; Pengjun Xie; Jinan Xu; Yufeng Chen; Meishan Zhang; Yong Jiang;, Wenjuan Han*2023 · 276 citations*](https://md.research.elamur.ai/free/en/papers/wei-2023-chatie-zero-shot-information-extraction/)
3. **[Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation](https://md.research.elamur.ai/free/en/papers/tan-2022-document-level-relation-extraction-adaptive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qingyu Tan, Ruidan He, Lidong Bing, et al.*2022 · 169 citations*
4. **[Faithful Logical Reasoning via Symbolic Chain-of-Thought](https://md.research.elamur.ai/free/en/papers/xu-2024-faithful-logical-reasoning-symbolic-chain/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jundong Xu, Hao Fei, Liangming Pan, et al.*2024 · 129 citations*
5. [**Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future arXiv:2309.15402**Zheng Chu, Jingchang Chen, Qianglong Chen, et al.*2023 · 125 citations*](https://md.research.elamur.ai/free/en/papers/chu-2023-navigate-through-enigmatic-labyrinth-survey/)
6. [**PromptNER: Prompting For Named Entity Recognition arXiv:2305.15444**Dhananjay Ashok, Zachary C. Lipton*2023 · 86 citations*](https://md.research.elamur.ai/free/en/papers/ashok-2023-promptner-prompting-named-entity-recognition/)
7. **[TC–RAG: Turing–Complete RAG's Case study on Medical LLM Systems](https://md.research.elamur.ai/free/en/papers/jiang-2025-tc-rag-turing-complete-rag/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xinke Jiang, Yue Fang, Rihong Qiu, et al.*2025 · 25 citations*
8. [**Sentiment Analysis through LLM Negotiations arXiv:2311.01876**Xiaofei Sun, Xiaoya Li, Shengyu Zhang, et al.*2023 · 25 citations*](https://md.research.elamur.ai/free/en/papers/sun-2023-sentiment-analysis-through-llm-negotiations/)
9. [**Prompting and Fine-Tuning Open-Sourced Large Language Models for Stance Classification arXiv:2309.13734**Iain J. Cruickshank, Lynnette Hui Xian Ng*2023 · 18 citations*](https://md.research.elamur.ai/free/en/papers/cruickshank-2023-prompting-fine-tuning-open-sourced/)
10. **[RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated Coarse-to-Fine Generation](https://md.research.elamur.ai/free/en/papers/li-2026-rubrichub-comprehensive-highly-discriminative-rubric/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sunzhu Li, Jiale Zhao, Huimin Ren, et al.*2026 · 9 citations*
11. [**A Systematic Survey of Semantic Role Labeling in the Era of Pretrained Language Models arXiv:2502.08660**Huiyao Chen, Meishan Zhang, Jing Li, et al.*2025 · 6 citations*](https://md.research.elamur.ai/free/en/papers/chen-2025-systematic-survey-semantic-role-labeling/)
12. **[Experience Retrieval-Augmentation with Electronic Health Records Enables Accurate Discharge QA](https://md.research.elamur.ai/free/en/papers/ou-2026-experience-retrieval-augmentation-electronic-health/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Justice Ou, Tinglin Huang, Yilun Zhao, et al.*2026 · 4 citations*
13. [**Baichuan-M3: Modeling Clinical Inquiry for Reliable Medical Decision-Making arXiv:2602.06570**Chengfeng Dou, Fan Yang, Fei Li, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/team-2026-m3-baichuan-m3-modeling-clinical/)
14. **[MedDCR: Learning to Design Agentic Workflows for Medical Coding](https://md.research.elamur.ai/free/en/papers/zheng-2026-meddcr-learning-design-agentic-workflows/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiyang Zheng, Islam Nassar, Thanh Vu, et al.*2026 · 2 citations*
15. **[MedMCP-Calc: Benchmarking LLMs for Realistic Medical Calculator Scenarios via MCP Integration](https://md.research.elamur.ai/free/en/papers/zhu-2026-medmcp-calc-benchmarking-llms-realistic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yakun Zhu, Yutong Huang, Shengqian Qin, et al.*2026 · 2 citations*
16. **[DeepMed: Building a Medical DeepResearch Agent via Multi-hop Med-Search Data and Turn-Controlled Agentic Training & Inference](https://md.research.elamur.ai/free/en/papers/wang-2026-deepmed-building-medical-deepresearch-agent/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zihan Wang, Hao Wang, Shi Feng, et al.*2026 · 1 citation*
17. **[HCRE: LLM-based Hierarchical Classification for Cross-Document Relation Extraction with a Prediction-then-Verification Strategy](https://md.research.elamur.ai/free/en/papers/ma-2026-hcre-llm-based-hierarchical-classification/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Guoqi Ma, Liang Zhang, Hongyao Tu, et al.*2026 · 1 citation*
18. **[ClinAlign: Scaling Healthcare Alignment from Clinician Preference](https://md.research.elamur.ai/free/en/papers/lyu-2026-clinalign-scaling-healthcare-alignment-clinician/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shiwei Lyu, Xidong Wang, Hao Zhu, et al.*2026*
19. **[DEBAR: Mitigating Contextual Bias in Cross-Document Relation Extraction via Dual-Stream Decoupling](https://md.research.elamur.ai/free/en/papers/yang-2026-debar-mitigating-contextual-bias-cross/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhixuan Yang, Fu Zhang, Huangming Xu, et al.*2026*
20. **[Evaluating the Adaptability of Large Language Models to Linguistic Variation](https://md.research.elamur.ai/free/en/papers/xu-2026-evaluating-adaptability-large-language-models/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Ziyan Xu, Marina Seghier, Alice Millour, et al.*2026*
21. **[Experience is the Teacher: Reusing Atomic Thoughts from LLMs to Improve Medical Dialogue](https://md.research.elamur.ai/free/en/papers/yu-2026-experience-is-teacher-reusing-atomic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Guangya Yu, Hui Luo, Qi Ye, et al.*2026*
22. **[ICDAGENT: Empowering Agentic Large Language Models for Explainable Medical Coding](https://md.research.elamur.ai/free/en/papers/yin-2026-icdagent-empowering-agentic-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziyi Yin, Yuanpu Cao, Ting Wang, et al.*2026*
23. **[MentalSeek-Dx: Towards Progressive Hypothetico-Deductive Reasoning for Real-world Psychiatric Diagnosis](https://md.research.elamur.ai/free/en/papers/sun-2026-mentalseek-dx-progressive-hypothetico-deductive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiao Sun, Ymyang, Xinyi Jiang, et al.*2026*
24. **[Penetrating Linguistic Disguises: A Slang-aware Label-Aligned Framework for Fine-Grained Toxicity Extraction in Chinese Hate Speech Detection](https://md.research.elamur.ai/free/en/papers/liu-2026-penetrating-linguistic-disguises-slang-aware/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Wei Liu, Xiaoliang Chen, Duoqian Miao, et al.*2026*
25. **[Rethinking Depression Prediction from a Fine-Grained Subscore Modeling Perspective via Multi-Task Learning](https://md.research.elamur.ai/free/en/papers/wang-2026-rethinking-depression-prediction-fine-grained/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhenguang Wang, Bo Li, Wenhui Tan, et al.*2026*
26. **[Scaling is Not All You Need: Clinical-Oriented Reinforcement Learning Makes Parameter-Efficient Clinical Reasoning](https://md.research.elamur.ai/free/en/papers/liu-2026-scaling-is-not-all-you/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chi Liu, Yan Shu, Mengzhuo Chen, et al.*2026*
27. **[SCoNE: a Self-Correcting and Noise-Augmented Method for Complex Biological and Chemical Named Entity Recognition](https://md.research.elamur.ai/free/en/papers/zhu-2026-scone-self-correcting-noise-augmented/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Xingyu Zhu, Claire Nédellec, Balazs Nagy, et al.*2026*
28. **[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*
29. **[Who You Are, What You Say: Intra- and Inter- Context Personality for Emotion Recognition in Conversation](https://md.research.elamur.ai/free/en/papers/rakib-2026-who-you-are-what-you/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Tazeek Bin Abdur Rakib, Lay-Ki Soon, Wern Han Lim*2026*
30. **[Annotating English Verb-Argument Structure via Usage-Based Analogy](https://md.research.elamur.ai/free/en/papers/hsiao-2025-annotating-english-verb-argument-structure/) [International Workshop on Construction Grammars and NLP](https://md.research.elamur.ai/free/en/venues/cxgsnlp/)**Allen Minchun Hsiao, Laura A. Michaelis*2025*

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

- [← back to](https://md.research.elamur.ai/free/en/authors/fei-li/) — Fei Li