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Suhang Wang

Active 2013–2026

261
Papers
18,059
Citations
59
h-index
136
i10-index

Citations

Citations per year for Suhang Wang1995: 1 citations1998: 1 citations2001: 3 citations2002: 4 citations2007: 5 citations2008: 1 citations2013: 4 citations2014: 3 citations2015: 18 citations2016: 65 citations2017: 191 citations2018: 450 citations2019: 786 citations2020: 1,163 citations2021: 1,395 citations2022: 1,314 citations2023: 1,403 citations2024: 1,492 citations2025: 1,538 citations2026: 565 citations2027: 1 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 shown2009–2012: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 2,895 citing papers, 28.8% of this breakdownUnited States: 1,763 citing papers, 17.5% of this breakdownIndia: 545 citing papers, 5.4% of this breakdownAustralia: 453 citing papers, 4.5% of this breakdownUnited Kingdom: 348 citing papers, 3.5% of this breakdownGermany: 258 citing papers, 2.6% of this breakdownHong Kong: 248 citing papers, 2.5% of this breakdownSingapore: 247 citing papers, 2.4% of this breakdownItaly: 239 citing papers, 2.4% of this breakdownCanada: 214 citing papers, 2.1% of this breakdownSouth Korea: 184 citing papers, 1.8% of this breakdownJapan: 163 citing papers, 1.6% of this breakdown
0%28.8%Other 24.9%

Institutions

Fields

  • Computer Science54.1%
  • Social Sciences33.3%
  • Physics and Astronomy3.1%
  • Engineering2.2%
  • Biochemistry, Genetics and Molecular Biology1.4%
  • Medicine1.2%
  • Other4.7%

Topics

  • Misinformation and Its Impacts11.6%
  • Spam and Phishing Detection8.1%
  • Advanced Graph Neural Networks7.4%
  • Topic Modeling6.7%
  • Complex Network Analysis Techniques4.1%
  • Recommender Systems and Techniques3.6%
  • Other58.5%

Coauthors

All papers

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

    Authors: Kai Shu, Amy Sliva, Suhang Wang, Jiliang Tang, Huan Liu - ACM SIGKDD Explorations Newsletter, SIGKDD Explor. 2017 cited by 3,136

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

    Authors: Kai Shu, Deepak Mahudeswaran, Suhang Wang, Dongwon Lee, Huan Liu - Big Data 2020 cited by 1,061

  3. GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks

    Authors: Tianxiang Zhao, Xiang Zhang, Suhang Wang - International Conference on Web Search and Data Mining, WSDM 2021 cited by 342

  4. dEFEND: Explainable Fake News Detection

    Authors: Kai Shu, Limeng Cui, Suhang Wang, Dongwon Lee, Huan Liu - SIGKDD International Conference on Knowledge Discovery & Data Mining 2019 cited by 586

  5. Feature Selection: A Data Perspective

    Authors: Jundong Li, Kewei Cheng, Suhang Wang, Fred Morstatter, Robert P. Trevino, Jiliang Tang, Huan Liu - ACM Computing Surveys, ACM Comput. Surv. 2017 cited by 2,321

  6. A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness

    Authors: Fali Wang, Zhiwei Zhang, Xianren Zhang, Zongyu Wu, Tzuhao Mo, Qiuhao Lu, Wanjing Wang, Rui Li, Junjie Xu, Xianfeng Tang, Qi He, Yao Ma, Ming Huang, Suhang Wang - ACM Transactions on Intelligent Systems and Technology, ACM Trans. Intell. Syst. Technol. 2025 cited by 96

  7. Self-supervised Learning on Graphs: Deep Insights and New Direction

    Authors: Wei Jin, Tyler Derr, Haochen Liu, Yiqi Wang, Suhang Wang, Zitao Liu, Jiliang Tang - arXiv (Cornell University), CoRR 2020 cited by 166

  8. Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs

    Authors: Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Li Zheng, Ruirui Li, Xianfeng Tang, Suhang Wang, Meng Yu, Jiawei Han - Findings of the Association for Computational Linguistics ACL 2024, ACL (Findings) 2024 cited by 68

  9. Adversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach

    Authors: Yiwei Sun, Suhang Wang, Xianfeng Tang, Tsung-Yu Hsieh, Vasant G. Honavar - Web Conference 2020, WWW 2020 cited by 162

  10. A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability

    Authors: Enyan Dai, Tianxiang Zhao, Huaisheng Zhu, Junjie Xu, Zhimeng Guo, Hui Liu, Jiliang Tang, Suhang Wang - Machine Intelligence Research, Mach. Intell. Res. 2024 cited by 108

  11. Unnoticeable Backdoor Attacks on Graph Neural Networks

    Authors: Enyan Dai, Minhua Lin, Xiang Zhang, Suhang Wang - Web Conference 2023, WWW 2023 cited by 68

  12. Recent Developments in Recommender Systems: A Survey [Review Article]

    Authors: Yang Li, Kangbo Liu, Ranjan Satapathy, Suhang Wang, Erik Cambria - IEEE Computational Intelligence Magazine 2024 cited by 91

  13. Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels

    Authors: Enyan Dai, Wei Jin, Hui Liu, Suhang Wang - Fifteenth ACM International Conference on Web Search and Data Mining, WSDM 2022 cited by 103

  14. Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models

    Authors: Yingqian Cui, Pengfei He, Jingying Zeng, Hui Liu, Xianfeng Tang, Zhenwei Dai, Yan Han, Chen Luo, Jing Huang, Zhen Li, Suhang Wang, Yue Xing, Jiliang Tang, Qi He - Findings of the Association for Computational Linguistics: ACL 2025, ACL (Findings) 2025 cited by 55

  15. NRGNN: Learning a Label Noise Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs

    Authors: Enyan Dai, Charu Aggarwal, Suhang Wang - SIGKDD Conference on Knowledge Discovery & Data Mining 2021 cited by 88

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

    Authors: Kai Shu, Deepak Mahudeswaran, Suhang Wang, Huan Liu - AAAI Conference on Web and Social Media, ICWSM 2020 cited by 192

  17. The role of user profiles for fake news detection

    Authors: Kai Shu, Xinyi Zhou, Suhang Wang, Reza Zafarani, Huan Liu - IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019 cited by 219

  18. DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation

    Authors: Limeng Cui, Haeseung Seo, Maryam Tabar, Fenglong Ma, Suhang Wang, Dongwon Lee - SIGKDD International Conference on Knowledge Discovery & Data Mining 2020 cited by 163

  19. Does your LLM truly unlearn? An embarrassingly simple approach to recover unlearned knowledge

    Authors: Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang - ICLR 2025 cited by 73

  20. Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks

    Authors: Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Yiqi Wang, Jiliang Tang, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang - International Conference on Information & Knowledge Management, CIKM 2020 cited by 94

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

    Authors: Shuo Yang, Kai Shu, Suhang Wang, Renjie Gu, Fan Wu, Huan Liu - AAAI Conference on Artificial Intelligence 2019 cited by 311

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

    Authors: Kai Shu, Suhang Wang, Jiliang Tang, Reza Zafarani, Huan Liu - ACM SIGKDD Explorations Newsletter, SIGKDD Explor. 2016 cited by 267

  23. Graph Structure Learning for Robust Graph Neural Networks

    Authors: Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang - SIGKDD International Conference on Knowledge Discovery & Data Mining 2020 cited by 610

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

    Authors: Kai Shu, Suhang Wang, Huan Liu - IEEE Conference on Multimedia Information Processing and Retrieval (MIPR) 2018 cited by 353