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Chuan Zhou

2000–2026 年に発表

572
論文数
22,655
被引用数
81
h 指数
294
i10 指数

被引用数

Chuan Zhou の年別被引用数1965 年: 被引用 1 件2000 年: 被引用 1 件2001 年: 被引用 2 件2002 年: 被引用 1 件2003 年: 被引用 2 件2004 年: 被引用 6 件2005 年: 被引用 14 件2006 年: 被引用 41 件2007 年: 被引用 68 件2008 年: 被引用 124 件2009 年: 被引用 140 件2010 年: 被引用 80 件2011 年: 被引用 130 件2012 年: 被引用 110 件2013 年: 被引用 122 件2014 年: 被引用 208 件2015 年: 被引用 294 件2016 年: 被引用 293 件2017 年: 被引用 286 件2018 年: 被引用 325 件2019 年: 被引用 643 件2020 年: 被引用 725 件2021 年: 被引用 1,071 件2022 年: 被引用 1,081 件2023 年: 被引用 1,285 件2024 年: 被引用 1,671 件2025 年: 被引用 1,329 件2026 年: 被引用 333 件2027 年: 被引用 2 件1966〜1999 年は被引用が無いため表示していません

引用元

国・地域

この著者を引用した国・地域の世界地図中国: 引用元論文 3,801 件、この内訳の 30.4%アメリカ合衆国: 引用元論文 2,564 件、この内訳の 20.5%オーストラリア: 引用元論文 715 件、この内訳の 5.7%イギリス: 引用元論文 537 件、この内訳の 4.3%カナダ: 引用元論文 422 件、この内訳の 3.4%インド: 引用元論文 315 件、この内訳の 2.5%ドイツ: 引用元論文 287 件、この内訳の 2.3%香港: 引用元論文 274 件、この内訳の 2.2%イタリア: 引用元論文 219 件、この内訳の 1.8%韓国: 引用元論文 219 件、この内訳の 1.7%オランダ: 引用元論文 173 件、この内訳の 1.4%フランス: 引用元論文 172 件、この内訳の 1.4%
0%30.4%その他 22.4%

機関

分野

  • Computer Science42%
  • Medicine22.4%
  • Physics and Astronomy7.3%
  • Social Sciences6.6%
  • Biochemistry, Genetics and Molecular Biology4.6%
  • Engineering4.6%
  • その他12.5%

トピック

  • Advanced Graph Neural Networks6.4%
  • Complex Network Analysis Techniques4.5%
  • AI in cancer detection3.5%
  • Radiomics and Machine Learning in Medical Imaging2.6%
  • Recommender Systems and Techniques2.1%
  • Anomaly Detection Techniques and Applications1.9%
  • その他79%

共著者

全論文

検索で開く
  1. Graph Self-Supervised Learning: A Survey

    著者: Yixin Liu, Ming Jin, Shirui Pan, Chuan Zhou, Yu Zheng, Feng Xia, Philip S. Yu - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2022 被引用: 495

  2. Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning

    著者: Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2021 被引用: 448

  3. Deep Learning in Medical Image Analysis

    著者: Heang‐Ping Chan, Ravi K. Samala, Lubomir M. Hadjiiski, Chuan Zhou - Advances in experimental medicine and biology 2020 被引用: 735

  4. A Comprehensive Survey on Community Detection With Deep Learning

    著者: Xing Su, Shan Xue, Fanzhen Liu, Jia Wu, Jian Yang, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Di Jin, Quan Z. Sheng, Philip S. Yu - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2022 被引用: 333

  5. H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections

    著者: Fengzhao Shi, Yanan Cao, Yanmin Shang, Yuchen Zhou, Chuan Zhou, Jia Wu - Web Conference 2022, WWW 2022 被引用: 136

  6. eFraudCom: An E-commerce Fraud Detection System via Competitive Graph Neural Networks

    著者: Ge Zhang, Zhao Li, Jiaming Huang, Jia Wu, Chuan Zhou, Jian Yang, Jianliang Gao - ACM Transactions on Information Systems, ACM Trans. Inf. Syst. 2022 被引用: 166

  7. Unsupervised Domain Adaptive Graph Convolutional Networks

    著者: Man Wu, Shirui Pan, Chuan Zhou, Xiaojun Chang, Xingquan Zhu - Web Conference 2020, WWW 2020 被引用: 148

  8. FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance

    著者: Ge Zhang, Jia Wu, Jian Yang, Amin Beheshti, Shan Xue, Chuan Zhou, Quan Z. Sheng - IEEE International Conference on Data Mining (ICDM) 2021 被引用: 110

  9. Deep Learning for Community Detection: Progress, Challenges and Opportunities

    著者: Fanzhen Liu, Shan Xue, Jia Wu, Chuan Zhou, Wenbin Hu, Cécile Paris, Surya Nepal, Jian Yang, Philip S. Yu - Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020 被引用: 191

  10. Graph Neural Architecture Search

    著者: Yang Gao, Hong Yang, Peng Zhang, Chuan Zhou, Yue Hu - Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020 被引用: 154

  11. Relation Structure-Aware Heterogeneous Graph Neural Network

    著者: Shichao Zhu, Chuan Zhou, Shirui Pan, Xingquan Zhu, Bin Wang - IEEE International Conference on Data Mining (ICDM) 2019 被引用: 122

  12. Online Active Learning for Drifting Data Streams

    著者: Sanmin Liu, Shan Xue, Jia Wu, Chuan Zhou, Jian Yang, Zhao Li, Jie Cao - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2021 被引用: 80

  13. Exploratory Adversarial Attacks on Graph Neural Networks for Semi-Supervised Node Classification

    著者: Xixun Lin, Chuan Zhou, Jia Wu, Hong Yang, Haibo Wang, Yanan Cao, Bin Wang - Pattern Recognition, Pattern Recognit. 2022 被引用: 64

  14. Flow2GNN: Flexible Two-Way Flow Message Passing for Enhancing GNNs Beyond Homophily

    著者: Changqin Huang, Yi Wang, Yunliang Jiang, Ming Li, Xiaodi Huang, Shijin Wang, Shirui Pan, Chuan Zhou - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2024 被引用: 62

  15. A Comprehensive Survey on Graph Anomaly Detection With Deep Learning

    著者: Xiaoxiao Ma, Jia Wu, Shan Xue, Jian Yang, Chuan Zhou, Quan Z. Sheng, Hui Xiong, Leman Akoglu - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2021 被引用: 76

  16. HGNAS++: Efficient Architecture Search for Heterogeneous Graph Neural Networks

    著者: Yang Gao, Peng Zhang, Chuan Zhou, Hong Yang, Zhao Li, Yue Hu, Philip S. Yu - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2023 被引用: 45

  17. LLM-based Agents Suffer from Hallucinations: A Survey of Taxonomy, Methods, and Directions

    著者: Lin, Xixun, Ning, Yucheng, Jingwen Zhang, Yan Dong, Yilong Liu, Y. Wu, Xiaohua Qi, Nian X. Sun, Yanmin Shang, Wang, Kun, Pengfei Cao, Wang, Qingyue, Lixin Zou, Xu Chen, Chuan Zhou, Jia Wu, Zhang, Peng, Wen, Qingsong, Shirui Pan, Bin Wang, Yanan Cao, Kai Chen, Songlin Hu, Li Guo - ArXiv.org, CoRR 2025 被引用: 33

  18. Rethinking pre-training on medical imaging

    著者: Yang Wen, Leiting Chen, Yu Deng, Chuan Zhou - Journal of Visual Communication and Image Representation, J. Vis. Commun. Image Represent. 2021 被引用: 85

  19. DAGAD: Data Augmentation for Graph Anomaly Detection

    著者: Fanzhen Liu, Xiaoxiao Ma, Jia Wu, Jian Yang, Shan Xue, Amin Beheshti, Chuan Zhou, Hao Peng, Quan Z. Sheng, Charu C. Aggarwal - IEEE International Conference on Data Mining (ICDM) 2022 被引用: 48

  20. One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting

    著者: Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Chuan Zhou, Zongyuan Ge, Steven Weidong Su - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2020 被引用: 81

  21. GraphNAS++: Distributed Architecture Search for Graph Neural Networks

    著者: Yang Gao, Peng Zhang, Hong Yang, Chuan Zhou, Yue Hu, Zhihong Tian, Zhao Li, Jingren Zhou - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2022 被引用: 38

  22. Reasoning Like Human: Hierarchical Reinforcement Learning for Knowledge Graph Reasoning

    著者: Guojia Wan, Shirui Pan, Chen Gong, Chuan Zhou, Gholamreza Haffari - Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020 被引用: 90

  23. Deep graph level anomaly detection with contrastive learning

    著者: Xuexiong Luo, Jia Wu, Jian Yang, Shan Xue, Hao Peng, Chuan Zhou, Hongyang Chen, Zhao Li, Quan Z. Sheng - Scientific Reports 2022 被引用: 38

  24. Deep learning algorithm-based multimodal MRI radiomics and pathomics data improve prediction of bone metastases in primary prostate cancer

    著者: Yunfeng Zhang, Chuan Zhou, Sheng Guo, Chao Wang, Jin Yang, Zhijun Yang, Rong Wang, Xu Zhang, Fenghai Zhou - Journal of Cancer Research and Clinical Oncology 2024 被引用: 54