Kai Shu

Active 2007–2026

Also published as
Kai, Shu
253
Papers
18,705
Citations
59
h-index
153
i10-index

Citations

Citations per year for Kai Shu1995: 3 citations1998: 1 citations2001: 4 citations2002: 5 citations2007: 5 citations2008: 1 citations2011: 1 citations2013: 6 citations2014: 4 citations2015: 7 citations2016: 15 citations2017: 41 citations2018: 234 citations2019: 615 citations2020: 1,019 citations2021: 1,222 citations2022: 1,234 citations2023: 1,238 citations2024: 1,757 citations2025: 1,832 citations2026: 586 citations1996–1997: no citations, so these years are not shown1999–2000: no citations, so these years are not shown2003–2006: no citations, so these years are not shown2009–2010: no citations, so these years are not shown2012: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 2,097 citing papers, 25.3% of this breakdownUnited States: 1,416 citing papers, 17.1% of this breakdownIndia: 517 citing papers, 6.3% of this breakdownAustralia: 309 citing papers, 3.7% of this breakdownUnited Kingdom: 286 citing papers, 3.5% of this breakdownGermany: 251 citing papers, 3% of this breakdownItaly: 236 citing papers, 2.9% of this breakdownCanada: 204 citing papers, 2.5% of this breakdownSpain: 164 citing papers, 2% of this breakdownSaudi Arabia: 143 citing papers, 1.7% of this breakdownSingapore: 143 citing papers, 1.7% of this breakdownHong Kong: 142 citing papers, 1.7% of this breakdown
0%25.3%Other 28.6%

Fields

  • Social Sciences42.4%
  • Computer Science34.4%
  • Agricultural and Biological Sciences6.4%
  • Biochemistry, Genetics and Molecular Biology4.2%
  • Medicine4.1%
  • Physics and Astronomy2%
  • Other6.5%

Topics

  • Misinformation and Its Impacts15%
  • Spam and Phishing Detection10.1%
  • Topic Modeling7.7%
  • Advanced Malware Detection Techniques3.1%
  • Complex Network Analysis Techniques2.9%
  • Sentiment Analysis and Opinion Mining2.8%
  • Other58.4%

Coauthors

All papers

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  1. Fake News Detection on Social Media: A Data Mining Perspective

    Authors: , , , , - ACM SIGKDD Explorations Newsletter, SIGKDD Explor. 2017 cited by 3,136

  2. TrustLLM: Trustworthiness in Large Language Models

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao - arXiv (Cornell University), CoRR 2024 cited by 410

  3. FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media

    Authors: , , , , - Big Data 2020 cited by 1,061

  4. From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge

    Authors: , , , , , , , , , , , , - Conference on Empirical Methods in Natural Language Processing, EMNLP 2025 cited by 274

  5. dEFEND: Explainable Fake News Detection

    Authors: , , , , - SIGKDD International Conference on Knowledge Discovery & Data Mining 2019 cited by 586

  6. Can LLM-Generated Misinformation Be Detected?

    Authors: , - ICLR 2024 cited by 283

  7. User Preference-aware Fake News Detection

    Authors: , , , , - SIGIR Conference on Research and Development in Information Retrieval 2021 cited by 251

  8. Combating Misinformation in the Age of LLMs: Opportunities and Challenges

    Authors: , - AI Magazine, AI Mag. 2024 cited by 103

  9. Memory-Guided Multi-View Multi-Domain Fake News Detection

    Authors: , , , , , , , - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2022 cited by 131

  10. Can Large Language Model Agents Simulate Human Trust Behaviors?

    Authors: , , , , , , , , , , , , , - Advances in Neural Information Processing Systems 37, NeurIPS 2024 cited by 154

  11. Backdoor Activation Attack: Attack Large Language Models using Activation Steering for Safety-Alignment

    Authors: , - arXiv (Cornell University), CoRR 2023 cited by 54

  12. On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin‐Yu Chen, Bo Li, Song, Dawn, Xiangliang Zhang - ArXiv.org, CoRR 2025 cited by 52

  13. Domain Adaptive Fake News Detection via Reinforcement Learning

    Authors: , , , , - Web Conference 2022, WWW 2022 cited by 98

  14. Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation

    Authors: , , , - AAAI Conference on Web and Social Media, ICWSM 2020 cited by 192

  15. The role of user profiles for fake news detection

    Authors: , , , , - IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019 cited by 219

  16. Temporally evolving graph neural network for fake news detection

    Authors: , , - Information Processing & Management, Inf. Process. Manag. 2021 cited by 155

  17. Authorship Attribution for Neural Text Generation

    Authors: , , , - Conference on Empirical Methods in Natural Language Processing (EMNLP), EMNLP (1) 2020 cited by 111

  18. Two Faces of One Seed: Hormonal Regulation of Dormancy and Germination

    Authors: , , , - Molecular Plant 2015 cited by 1,100

  19. Unsupervised Fake News Detection on Social Media: A Generative Approach

    Authors: , , , , , - AAAI Conference on Artificial Intelligence 2019 cited by 311

  20. Can Editing LLMs Inject Harm?

    Authors: , , , , , , , , , , , , , , - AAAI Conference on Artificial Intelligence 2026 cited by 39

  21. User Identity Linkage across Online Social Networks: A Review

    Authors: , , , , - ACM SIGKDD Explorations Newsletter, SIGKDD Explor. 2016 cited by 267

  22. ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8 - 11, 2021

    Authors: , , , , , - ASONAM 2021 cited by 78

  23. Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Baixiang Huang, Juntao Tan, Shelby Heinecke, Huan Wang, Caiming Xiong, Ahmed A. Metwally, Jun Yan, Chen-Yu Lee, Hanqing Zeng, Yinglong Xia, Xiaokai Wei, Ali Payani, Yu Wang, Haitong Ma, Wenya Wang, Chenguang Wang, Yu Zhang, Xin Wang, Yongfeng Zhang, Jiaxuan You, Hanghang Tong, Xiao Luo, Xue Liu, Yizhou Sun, Wei Wang, Julian J. McAuley, James Zou, Jiawei Han, Philip S. Yu, Kai Shu - arXiv (Cornell University), CoRR 2026 cited by 33

  24. Understanding User Profiles on Social Media for Fake News Detection

    Authors: , , - IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) 2018 cited by 353