---
title: "Who cites Jian Tang — 537 papers of our library"
description: "537 papers of the Elamur Research library cite the works of Jian Tang, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/jian-tang/cited-by/"
---
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# Who cites Jian Tang

569 citations of their works from 537 papers of our library (of the 149,439 whose bibliographies we read) · 37 with a page here, the most cited first · [← Jian Tang](https://md.research.elamur.ai/free/en/authors/jian-tang/)

1. **[A Survey of Large Language Models](https://md.research.elamur.ai/free/en/papers/zhao-2023-survey-large-language-models/) [Frontiers of Computer Science](https://md.research.elamur.ai/free/en/venues/frontiers-of-computer-science/)**Wayne Xin Zhao, Kun Zhou, Junyi Li, et al.*2023 · 2,875 citations*
2. **[Knowledge Graphs](https://md.research.elamur.ai/free/en/papers/hogan-2020-knowledge-graphs/) [ACM Computing Surveys](https://md.research.elamur.ai/free/en/venues/acm-computing-surveys/)**Aidan Hogan, Eva Blomqvist, Michael Cochez, et al.*2020 · 2,014 citations*
3. **[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*
4. [**TuckER: Tensor Factorization for Knowledge Graph Completion arXiv:1901.09590**Ivana Balažević, Carl Allen, Timothy M. Hospedales*2019 · 799 citations*](https://md.research.elamur.ai/free/en/papers/balazevic-2019-tucker-tensor-factorization-knowledge-graph/)
5. **[Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings](https://md.research.elamur.ai/free/en/papers/saxena-2020-improving-multi-hop-question-answering/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Apoorv Saxena, Aditay Tripathi, Partha Talukdar*2020 · 671 citations*
6. **[Low-Dimensional Hyperbolic Knowledge Graph Embeddings](https://md.research.elamur.ai/free/en/papers/chami-2020-low-dimensional-hyperbolic-knowledge-graph/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ines Chami, Adva Wolf, Da-Cheng Juan, et al.*2020 · 429 citations*
7. **[Graph Retrieval-Augmented Generation: A Survey](https://md.research.elamur.ai/free/en/papers/peng-2024-graph-retrieval-augmented-generation-survey/) [ACM Transactions on Information Systems](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-information-systems/)**Boci Peng, Yun Zhu, Yongchao Liu, et al.*2024 · 276 citations*
8. **[CoLAKE: Contextualized Language and Knowledge Embedding](https://md.research.elamur.ai/free/en/papers/sun-2020-colake-contextualized-language-knowledge-embedding/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Tianxiang Sun, Yunfan Shao, Xipeng Qiu, et al.*2020 · 239 citations*
9. [**AnglE-optimized Text Embeddings arXiv:2309.12871**Xianming Li, Jing Li*2023 · 103 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-angle-optimized-text-embeddings/)
10. **[Are Pretrained Language Models Symbolic Reasoners over Knowledge?](https://md.research.elamur.ai/free/en/papers/kassner-2020-are-pretrained-language-models-symbolic/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Nora Kassner, Benno Krojer, Hinrich Schütze*2020 · 81 citations*
11. **[KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph](https://md.research.elamur.ai/free/en/papers/jiang-2025-kg-agent-efficient-autonomous-agent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, et al.*2025 · 78 citations*
12. **[Dipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting](https://md.research.elamur.ai/free/en/papers/chen-2023-dipping-plms-sauce-bridging-structure/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chen Chen, Yufei Wang, Aixin Sun, et al.*2023 · 75 citations*
13. **[Contextualization Distillation from Large Language Model for Knowledge Graph Completion](https://md.research.elamur.ai/free/en/papers/li-2024-contextualization-distillation-large-language-model/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dawei Li, Zhen Tan, Tianlong Chen, et al.*2024 · 30 citations*
14. [**Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs arXiv:2507.09477**Yangning Li, Weizhi Zhang, Yuyao Yang, et al.*2025 · 17 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-towards-agentic-rag-deep-reasoning/)
15. **[Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering](https://md.research.elamur.ai/free/en/papers/liu-2025-ontology-guided-reverse-thinking-makes/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Runxuan Liu, Bei Luo, Jiaqi Li, et al.*2025 · 15 citations*
16. **[RGR-KBQA: Generating Logical Forms for Question Answering Using Knowledge-Graph-Enhanced Large Language Model](https://md.research.elamur.ai/free/en/papers/feng-2025-rgr-kbqa-generating-logical-forms/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Tengfei Feng, Liang He*2025 · 9 citations*
17. **[Dynamic Sampling that Adapts: Self-Aware Iterative Data Persistent Optimization for Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/rao-2026-dynamic-sampling-that-adapts-self/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jun Rao, Xuebo Liu, Hexuan Deng, et al.*2026 · 4 citations*
18. **[What Makes a Good Curriculum? Disentangling the Effects of Data Ordering on LLM Mathematical Reasoning](https://md.research.elamur.ai/free/en/papers/jia-2026-what-makes-good-curriculum-disentangling/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yaning Jia, Chunhui Zhang, Xingjian Diao, et al.*2026 · 4 citations*
19. **[Imbalanced Gradients in RL Post-Training of Multi-Task LLMs](https://md.research.elamur.ai/free/en/papers/wu-2026-imbalanced-gradients-rl-post-training/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Runzhe Wu, Ankur Samanta, Ayush Jain, et al.*2026 · 3 citations*
20. **[Joint Knowledge Base Completion and Question Answering by Combining Large Language Models and Small Language Models](https://md.research.elamur.ai/free/en/papers/liu-2026-joint-knowledge-base-completion-question/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yinan Liu, Dongying Lin, Sigang Luo, et al.*2026 · 2 citations*
21. **[SCALER: Synthetic Scalable Adaptive Learning Environment for Reasoning](https://md.research.elamur.ai/free/en/papers/xu-2026-scaler-synthetic-scalable-adaptive-learning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Caijun Xu, Changyi Xiao, Zhongyuan Peng, et al.*2026 · 2 citations*
22. **[QuALA-NL: Question & Answer with Legal Attribution in Dutch](https://md.research.elamur.ai/free/en/papers/drie-2026-quala-nl-question-answer-legal/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Romy A.N. van Drie, Roos M. Bakker, Daan L. Di Scala, et al.*2026 · 1 citation*
23. **[SPARD: Self-Paced Curriculum for RL Alignment via Integrating Reward Dynamics and Data Utility](https://md.research.elamur.ai/free/en/papers/zhi-2026-spard-self-paced-curriculum-rl/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xuyang Zhi, Peilun Zhou, Chengqiang Lu, et al.*2026 · 1 citation*
24. **[COSMOS: Connectivity-Oriented Submodular Maximization for Optimal Subgraph Retrieval](https://md.research.elamur.ai/free/en/papers/peng-2026-cosmos-connectivity-oriented-submodular-maximization/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Boci Peng, Xiao Liu, Boren Hu, et al.*2026*
25. **[DynamixSFT: Dynamic Mixture Optimization of Instruction Tuning Collections](https://md.research.elamur.ai/free/en/papers/shin-2026-dynamixsft-dynamic-mixture-optimization-instruction/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haebin Shin, Lei Ji, Xiao Liu, et al.*2026*
26. **[EvoMemKG: An Evolvable Memory Agent for Multi-hop Knowledge Graph Reasoning](https://md.research.elamur.ai/free/en/papers/tian-2026-evomemkg-evolvable-memory-agent-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shiyu Tian, Shuyue Xing, Zhuoxin Han, et al.*2026*
27. **[Linguistic Initialization for Inductive Reasoning in Heterogeneous Knowledge Graphs](https://md.research.elamur.ai/free/en/papers/pasquini-2026-linguistic-initialization-inductive-reasoning-heterogeneous/) [Knowledge Graphs and Large Language Models Workshop (KG-LLM) @ LREC26](https://md.research.elamur.ai/free/en/venues/kallm/)**Daniele Pasquini, Danilo Croce, Roberto Basili*2026*
28. **[MAGIC: Deep Geometric Evolution with Structural Consensus for Temporal Knowledge Graph Reasoning](https://md.research.elamur.ai/free/en/papers/liu-2026-magic-deep-geometric-evolution-structural/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chengao Liu, Yuan Li, Yingze Wang, et al.*2026*
29. **[NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering](https://md.research.elamur.ai/free/en/papers/shi-2026-ng-router-graph-supervised-multi/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Kaiwen Shi, Zheyuan Zhang, Zhengqing Yuan, et al.*2026*
30. **[Not All Modalities at Once: Dynamic Dropout and Bidirectional Fusion for Robust Multi-modal Knowledge Graph Completion](https://md.research.elamur.ai/free/en/papers/peng-2026-not-all-modalities-once-dynamic/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiashun Peng, Fu Zhang, Hongzhi Chen, et al.*2026*
31. **[Reasoning with Ontology Graph: Toward Type-Constrained Knowledge Graph Question Answering](https://md.research.elamur.ai/free/en/papers/shan-2026-reasoning-ontology-graph-type-constrained/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yongxue Shan, Jie Peng, Zixuan Dong, et al.*2026*
32. **[Risk-Controlled Event-Driven Cascading Updates for Knowledge Graph Consistency Restoration](https://md.research.elamur.ai/free/en/papers/ni-2026-risk-controlled-event-driven-cascading/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bo Ni, Qinwen Ge, Haowei Fu, et al.*2026*
33. **[Think Parallax: Solving Multi-Hop Problems via Multi-View Knowledge-Graph-Based Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/liu-2026-think-parallax-solving-multi-hop/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinliang Liu, Jiale Bai, Shaoning Zeng*2026*
34. **[TRACE: An Experiential Framework for Coherent Multi-hop Knowledge Graph Question Answering](https://md.research.elamur.ai/free/en/papers/wang-2026-trace-experiential-framework-coherent-multi/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yingxu Wang, Jiaxin Huang, Mengzhu Wang, et al.*2026*
35. **[Research Progress and Trend of Temporal Knowledge Graph Representation and Reasoning (时序知识图谱表示与推理的研究进展与趋势)](https://md.research.elamur.ai/free/en/papers/wang-2024-trend-temporal-knowledge/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Yuhan Wang (王俞涵), Ziyang Chen (陈子阳), Xiang Zhao (赵翔), et al.*2024*
36. **[Survey on Representation Learning Methods of Knowledge Graph for Link Prediction (面向链接预测的知识图谱表示学习方法综述)](https://md.research.elamur.ai/free/en/papers/du-2023-representation-learning-methods/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Xueying Du (杜雪盈), Mingwei Liu (刘名威), Liwei Shen (沈立炜), et al.*2023*
37. **[Overview on Knowledge Graph Embedding Technology Research (知识图谱嵌入技术研究综述)](https://md.research.elamur.ai/free/en/papers/zhang-2021-overview-knowledge-graph/) [Journal of Software](https://md.research.elamur.ai/free/en/venues/journal-of-software/)**Tiancheng Zhang (张天成), Xue Tian (田雪), Xianghui Sun (孙相会), et al.*2021*

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

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