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2025

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D-Index
52
Citations
15815
World Ranking
264
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Computer Science

D-Index
55
Citations
19437
World Ranking
4196
National Ranking
1977

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Suhang Wang is a researcher affiliated with Pennsylvania State University in the United States. Their primary field of study is Computer Science, with a focus on various subfields including Artificial Intelligence, Information Systems, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, and Sociology and Political Science.

The scientist's research topics span a range of areas, notably:

  • Advanced Graph Neural Networks
  • Topic Modeling
  • Recommender Systems and Techniques
  • Explainable Artificial Intelligence (XAI)
  • Adversarial Robustness in Machine Learning
  • Natural Language Processing Techniques
  • Spam and Phishing Detection

Suhang Wang has contributed to multiple recent publications, including:

  • FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media, 2020, Big Data
  • Hierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation, 2020, Proceedings of the International AAAI Conference on Web and Social Media
  • Graph Few-Shot Learning via Knowledge Transfer, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Ginger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository, 2020, Proceedings of the International AAAI Conference on Web and Social Media

The scientist has frequently published in several venues, including:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
  • Proceedings of the International AAAI Conference on Web and Social Media
  • SSRN Electronic Journal

Collaborations have been a significant aspect of their work. Suhang Wang has often coauthored papers with Enyan Dai, Tianxiang Zhao, Xianfeng Tang, Zongyu Wu, and Jiliang Tang, reflecting ongoing research partnerships.

Best Publications

  • Fake News Detection on Social Media: A Data Mining Perspective

    Kai Shu;Amy Sliva;Suhang Wang;Jiliang Tang

  • Feature Selection: A Data Perspective

    Jundong Li;Kewei Cheng;Suhang Wang;Fred Morstatter

  • Feature Selection

    Unknown

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

    Kai Shu;Deepak Mahudeswaran;Suhang Wang;Dongwon Lee

  • Beyond News Contents: The Role of Social Context for Fake News Detection

    Kai Shu;Suhang Wang;Huan Liu

  • Graph Structure Learning for Robust Graph Neural Networks

    Wei Jin;Yao Ma;Xiaorui Liu;Xianfeng Tang

  • dEFEND: Explainable Fake News Detection

    Kai Shu;Limeng Cui;Suhang Wang;Dongwon Lee

  • Understanding User Profiles on Social Media for Fake News Detection

    Kai Shu;Suhang Wang;Huan Liu

  • GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks

    Tianxiang Zhao;Xiang Zhang;Suhang Wang

  • Graph Convolutional Networks with EigenPooling

    Yao Ma;Suhang Wang;Charu C. Aggarwal;Jiliang Tang

  • Unsupervised Fake News Detection on Social Media: A Generative Approach

    Shuo Yang;Kai Shu;Suhang Wang;Renjie Gu

  • Embedded unsupervised feature selection

    Suhang Wang;Jiliang Tang;Huan Liu

  • User Identity Linkage across Online Social Networks: A Review

    Kai Shu;Suhang Wang;Jiliang Tang;Reza Zafarani

  • Signed network embedding in social media

    Suhang Wang;Jiliang Tang;Charu C. Aggarwal;Yi Chang

  • What Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation

    Suhang Wang;Yilin Wang;Jiliang Tang;Kai Shu

  • Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information

    Enyan Dai;Suhang Wang

  • FakeNewsNet: A Data Repository with News Content, Social Context and Spatialtemporal Information for Studying Fake News on Social Media

    Kai Shu;Deepak Mahudeswaran;Suhang Wang;Dongwon Lee

  • The role of user profiles for fake news detection

    Kai Shu;Xinyi Zhou;Suhang Wang;Reza Zafarani

  • Hierarchical propagation networks for fake news detection: Investigation and exploitation

    Kai Shu;Deepak Mahudeswaran;Suhang Wang;Huan Liu

  • A Generative Model for category text generation

    Yang Li;Quan Pan;Suhang Wang;Tao Yang

  • Learning Word Representations for Sentiment Analysis

    Yang Li;Quan Pan;Tao Yang;Suhang Wang

  • Exploiting Tri-Relationship for Fake News Detection.

    Kai Shu;Suhang Wang;Huan Liu

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

    Wei Jin;Tyler Derr;Haochen Liu;Yiqi Wang

  • The Role of User Profile for Fake News Detection

    Kai Shu;Xinyi Zhou;Suhang Wang;Reza Zafarani

Frequent Co-Authors

Huan Liu
Huan Liu Arizona State University
Jiliang Tang
Jiliang Tang Michigan State University
Charu C. Aggarwal
Charu C. Aggarwal IBM (United States)
Dongwon Lee
Dongwon Lee Pennsylvania State University
Prasenjit Mitra
Prasenjit Mitra Pennsylvania State University
Erik Cambria
Erik Cambria Nanyang Technological University
Vasant Honavar
Vasant Honavar Pennsylvania State University
Xia Hu
Xia Hu Rice University
Xiang Zhang
Xiang Zhang University of Hong Kong
Baoxin Li
Baoxin Li Shaanxi Normal University

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