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Xindong Wu

Active 1993–2026

797
Papers
42,311
Citations
80
h-index
428
i10-index

Citations

Citations per year for Xindong Wu1950: 1 citations1969: 4 citations1971: 1 citations1979: 1 citations1982: 1 citations1986: 3 citations1991: 1 citations1993: 1 citations1995: 9 citations1996: 8 citations1997: 11 citations1998: 15 citations1999: 21 citations2000: 5 citations2001: 14 citations2002: 24 citations2003: 51 citations2004: 63 citations2005: 90 citations2006: 166 citations2007: 237 citations2008: 459 citations2009: 511 citations2010: 585 citations2011: 655 citations2012: 704 citations2013: 865 citations2014: 1,201 citations2015: 1,236 citations2016: 1,345 citations2017: 1,647 citations2018: 1,560 citations2019: 1,912 citations2020: 2,145 citations2021: 2,481 citations2022: 2,509 citations2023: 2,282 citations2024: 2,516 citations2025: 2,280 citations2026: 581 citations2027: 6 citations1951–1968: no citations, so these years are not shown1970: no citations, so this year is not shown1972–1978: no citations, so these years are not shown1980–1981: no citations, so these years are not shown1983–1985: no citations, so these years are not shown1987–1990: no citations, so these years are not shown1992: no citations, so this year is not shown1994: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 10,291 citing papers, 34.8% of this breakdownUnited States: 3,364 citing papers, 11.4% of this breakdownAustralia: 1,388 citing papers, 4.7% of this breakdownIndia: 1,247 citing papers, 4.2% of this breakdownUnited Kingdom: 1,153 citing papers, 3.9% of this breakdownCanada: 764 citing papers, 2.6% of this breakdownSpain: 715 citing papers, 2.4% of this breakdownSingapore: 620 citing papers, 2.1% of this breakdownHong Kong: 617 citing papers, 2.1% of this breakdownGermany: 591 citing papers, 2% of this breakdownItaly: 550 citing papers, 1.8% of this breakdownSouth Korea: 523 citing papers, 1.8% of this breakdown
0%34.8%Other 26.2%

Institutions

Fields

  • Computer Science71.9%
  • Engineering10.1%
  • Medicine2.4%
  • Physics and Astronomy2.3%
  • Biochemistry, Genetics and Molecular Biology1.7%
  • Social Sciences1.6%
  • Other10%

Topics

  • Face and Expression Recognition3.5%
  • Data Mining Algorithms and Applications3%
  • Machine Learning and Data Classification2.9%
  • Advanced Image and Video Retrieval Techniques2.8%
  • Text and Document Classification Technologies2.6%
  • Image Retrieval and Classification Techniques2.4%
  • Other82.8%

Coauthors

All papers

Open in search
  1. Object Detection With Deep Learning: A Review

    Authors: Zhong-Qiu Zhao, Peng Zheng, Shou-tao Xu, Xindong Wu - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2019 cited by 5,344

  2. Top 10 algorithms in data mining

    Authors: Xindong Wu, Vipin Kumar, J. Ross Quinlan, Joydeep Ghosh, Qiang Yang, Hiroshi Motoda, Geoffrey J. McLachlan, Angus F. M. Ng, Bing Liu, Philip S. Yu, Zhi-Hua Zhou, Michael S. Steinbach, David J. Hand, Dan Steinberg - Knowledge and Information Systems, Knowl. Inf. Syst. 2007 cited by 5,685

  3. Unifying Large Language Models and Knowledge Graphs: A Roadmap

    Authors: Shirui Pan, Linhao Luo, Yufei Wang, Chen Chen, Jiapu Wang, Xindong Wu - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2024 cited by 954

  4. 20th IEEE International Conference on Data Mining, ICDM 2020, Sorrento, Italy, November 17-20, 2020

    Authors: Claudia Plant, Haixun Wang, Alfredo Cuzzocrea, Carlo Zaniolo, Xindong Wu - ICDM 2020 cited by 211

  5. BLoG: Bootstrapped graph representation learning with local and global regularization for recommendation

    Authors: Ming Li, Lin Zhang, Lixin Cui, Lu Bai, Zhao Li, Xindong Wu - Pattern Recognition, Pattern Recognit. 2023 cited by 111

  6. Are Graph Convolutional Networks With Random Weights Feasible?

    Authors: Changqin Huang, Ming Li, Feilong Cao, Hamido Fujita, Zhao Li, Xindong Wu - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2022 cited by 126

  7. Class Noise vs. Attribute Noise: A Quantitative Study

    Authors: Xingquan Zhu, Xindong Wu - Artificial Intelligence Review, Artif. Intell. Rev. 2004 cited by 896

  8. A Data-Characteristic-Aware Latent Factor Model for Web Services QoS Prediction

    Authors: Di Wu, Xin Luo, Mingsheng Shang, Yi He, Guoyin Wang, Xindong Wu - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2020 cited by 204

  9. Learning Label-Specific Features and Class-Dependent Labels for Multi-Label Classification

    Authors: Jun Huang, Guorong Li, Qingming Huang, Xindong Wu - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2016 cited by 246

  10. ChatGPT is not Enough: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling

    Authors: Linyao Yang, Hongyang Chen, Zhao Li, Xiao Ding, Xindong Wu - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2024 cited by 177

  11. EduGraph: Learning Path-Based Hypergraph Neural Networks for MOOC Course Recommendation

    Authors: Ming Li, Zhao Li, Changqin Huang, Yunliang Jiang, Xindong Wu - IEEE Transactions on Big Data, IEEE Trans. Big Data 2024 cited by 61

  12. Feature Interaction for Streaming Feature Selection

    Authors: Peng Zhou, Peipei Li, Shu Zhao, Xindong Wu - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2020 cited by 109

  13. Data Mining with Big Data

    Authors: Xindong Wu, Xingquan Zhu, Gong-Qing Wu, Wei Ding - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2013 cited by 2,395

  14. 10 Challenging Problems in Data Mining Research

    Authors: Qiang Yang, Xindong Wu - International Journal of Information Technology & Decision Making, Int. J. Inf. Technol. Decis. Mak. 2006 cited by 929

  15. Streaming Feature Selection for Multilabel Learning Based on Fuzzy Mutual Information

    Authors: Yaojin Lin, Qinghua Hu, Jinghua Liu, Jinjin Li, Xindong Wu - IEEE Transactions on Fuzzy Systems, IEEE Trans. Fuzzy Syst. 2017 cited by 186

  16. Prompt-Learning for Short Text Classification

    Authors: Yi Zhu, Ye Wang, Jipeng Qiang, Xindong Wu - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2023 cited by 70

  17. Proceedings of the 10th IEEE International Conference on Data Mining (ICDM)

    Authors: Geoffrey I. Webb, Bing Liu, Chengqi Zhang, Dimitrios Gunopulos, Xindong Wu - 2010 cited by 247

  18. Scalable Semi-Supervised Learning by Efficient Anchor Graph Regularization

    Authors: Meng Wang, Weijie Fu, Shijie Hao, Dacheng Tao, Xindong Wu - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2016 cited by 245

  19. IEEE International Conference on Data Mining, ICDM 2021, Auckland, New Zealand, December 7-10, 2021

    Authors: James Bailey, Pauli Miettinen, Yun Sing Koh, Dacheng Tao, Xindong Wu - ICDM 2021 cited by 118

  20. Joint Feature Selection and Classification for Multilabel Learning

    Authors: Jun Huang, Guorong Li, Qingming Huang, Xindong Wu - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2017 cited by 186

  21. Multi-Level Attention Map Network for Multimodal Sentiment Analysis

    Authors: Xiaojun Xue, Chunxia Zhang, Zhendong Niu, Xindong Wu - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2022 cited by 69

  22. Graph attention network with dynamic representation of relations for knowledge graph completion

    Authors: Xin Zhang, Chunxia Zhang, Jingtao Guo, Cheng Peng, Zhendong Niu, Xindong Wu, Xindong Wu - Expert Systems with Applications, Expert Syst. Appl. 2023 cited by 65

  23. Online Multi-Label Streaming Feature Selection With Label Correlation

    Authors: Dianlong You, Yang Wang, Jiawei Xiao, Yaojin Lin, Maosheng Pan, Zhen Chen, Limin Shen, Xindong Wu - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2021 cited by 55

  24. Multi-label text classification via joint learning from label embedding and label correlation

    Authors: Huiting Liu, Geng Chen, Pei-Pei Li, Peng Zhao, Xindong Wu - Neurocomputing 2021 cited by 74