World's Best Scientists 2026 revealed!
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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
89
Citations
47671
World Ranking
633
National Ranking
90

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2012 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2011 - IEEE Fellow For contributions to artificial intelligence applications in power systems

Overview

Xindong Wu is affiliated with Hefei University of Technology in China. Their research spans a broad range of topics within computer science, particularly focusing on artificial intelligence, information systems, and computer vision and pattern recognition. This work is also connected to management science, operations research, and signal processing.

Their main research areas include advanced graph neural networks, topic modeling, recommender systems and techniques, data mining algorithms and applications, rough sets and fuzzy logic, text and document classification technologies, and natural language processing techniques.

Xindong Wu has contributed extensively to several publication venues, with the highest number of their works appearing in:

  • IEEE Transactions on Knowledge and Data Engineering
  • arXiv (Cornell University)
  • ACM Transactions on Knowledge Discovery from Data
  • IEEE Transactions on Emerging Topics in Computational Intelligence
  • Information Sciences

Examples of recent papers that feature their work include:

  • Unifying Large Language Models and Knowledge Graphs: A Roadmap (2024), published in IEEE Transactions on Knowledge and Data Engineering
  • Short Text Topic Modeling Techniques, Applications, and Performance: A Survey (2020), published in IEEE Transactions on Knowledge and Data Engineering
  • A Data-Characteristic-Aware Latent Factor Model for Web Services QoS Prediction (2020), published in IEEE Transactions on Knowledge and Data Engineering
  • A Comprehensive Survey on Automatic Knowledge Graph Construction (2023), published in ACM Computing Surveys
  • Causality-based Feature Selection (2020), published in ACM Computing Surveys

Frequent coauthors collaborating with Xindong Wu include Youxi Wu, Yan Li, Yi Zhu, Lei Li, and Chenyang Bu.

Their recognition includes the Fellow of the American Association for the Advancement of Science (AAAS) awarded in 2012, and IEEE Fellow status granted in 2011 for contributions to artificial intelligence applications in power systems.

Best Publications

  • Top 10 algorithms in data mining

    Xindong Wu;Vipin Kumar;J. Ross Quinlan;Joydeep Ghosh

  • Object Detection With Deep Learning: A Review

    Zhong-Qiu Zhao;Peng Zheng;Shou-Tao Xu;Xindong Wu

  • Data mining with big data

    Xindong Wu;Xingquan Zhu;Gong-Qing Wu;Wei Ding

  • General Tensor Discriminant Analysis and Gabor Features for Gait Recognition

    Dacheng Tao;Xuelong Li;Xindong Wu;S.J. Maybank

  • Class noise vs. attribute noise: a quantitative study of their impacts

    Xingquan Zhu;Xindong Wu

  • Asymmetric bagging and random subspace for support vector machines-based relevance feedback in image retrieval

    Dacheng Tao;Xiaoou Tang;Xuelong Li;Xindong Wu

  • The Top Ten Algorithms in Data Mining

    Xindong Wu;Vipin Kumar

  • 10 CHALLENGING PROBLEMS IN DATA MINING RESEARCH

    Qiang Yang;Xindong Wu

  • Efficient mining of both positive and negative association rules

    Xindong Wu;Chengqi Zhang;Shichao Zhang

  • Geometric Mean for Subspace Selection

    Dacheng Tao;Xuelong Li;Xindong Wu;S.J. Maybank

  • Supervised tensor learning

    Dacheng Tao;Xuelong Li;Weiming Hu;S. Maybank

  • Visual-Textual Joint Relevance Learning for Tag-Based Social Image Search

    Yue Gao;Meng Wang;Zheng-Jun Zha;Jialie Shen

  • Multimodal Graph-Based Reranking for Web Image Search

    Meng Wang;Hao Li;Dacheng Tao;Ke Lu

  • Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection

    Xiaofeng Zhu;Xuelong Li;Shichao Zhang;Chunhua Ju

  • Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining

    Pavel Berkhin;Rich Caruana;Xindong Wu

  • On Deep Learning for Trust-Aware Recommendations in Social Networks

    Shuiguang Deng;Longtao Huang;Guandong Xu;Xindong Wu

  • Online Feature Selection with Streaming Features

    Xindong Wu;Kui Yu;Wei Ding;Hao Wang

  • Eliminating class noise in large datasets

    Xingquan Zhu;Xindong Wu;Qijun Chen

  • Proceedings of the 2001 IEEE International Conference on Data Mining

    Nick Cercone;Tsau Young Lin;Xindong Wu

  • Short Text Topic Modeling Techniques, Applications, and Performance: A Survey

    Jipeng Qiang;Zhenyu Qian;Yun Li;Yunhao Yuan

  • Synthesizing high-frequency rules from different data sources

    Xindong Wu;Shichao Zhang

Frequent Co-Authors

Xingquan Zhu
Xingquan Zhu Florida Atlantic University
Wei Ding
Wei Ding University of Massachusetts Boston
Chengqi Zhang
Chengqi Zhang Hong Kong Polytechnic University
Dacheng Tao
Dacheng Tao Nanyang Technological University
Meng Wang
Meng Wang Hefei University of Technology
Xuelong Li
Xuelong Li China Telecom (China)
Victor S. Sheng
Victor S. Sheng Texas Tech University
Stephen J. Maybank
Stephen J. Maybank Birkbeck, University of London
Jian Pei
Jian Pei Duke University
Xiaohua Hu
Xiaohua Hu Drexel University

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