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Xiaofeng Zhu

1999–2026 年に発表

515
論文数
31,915
被引用数
97
h 指数
335
i10 指数

被引用数

Xiaofeng Zhu の年別被引用数1961 年: 被引用 1 件1975 年: 被引用 1 件1976 年: 被引用 1 件1987 年: 被引用 1 件1990 年: 被引用 2 件1998 年: 被引用 5 件1999 年: 被引用 6 件2000 年: 被引用 24 件2001 年: 被引用 21 件2002 年: 被引用 47 件2003 年: 被引用 53 件2004 年: 被引用 37 件2005 年: 被引用 70 件2006 年: 被引用 79 件2007 年: 被引用 142 件2008 年: 被引用 221 件2009 年: 被引用 126 件2010 年: 被引用 151 件2011 年: 被引用 123 件2012 年: 被引用 146 件2013 年: 被引用 172 件2014 年: 被引用 273 件2015 年: 被引用 330 件2016 年: 被引用 565 件2017 年: 被引用 903 件2018 年: 被引用 1,056 件2019 年: 被引用 1,235 件2020 年: 被引用 1,283 件2021 年: 被引用 1,500 件2022 年: 被引用 1,466 件2023 年: 被引用 1,463 件2024 年: 被引用 1,970 件2025 年: 被引用 1,535 件2026 年: 被引用 323 件2027 年: 被引用 1 件1962〜1974 年は被引用が無いため表示していません1977〜1986 年は被引用が無いため表示していません1988〜1989 年は被引用が無いため表示していません1991〜1997 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 5,828 件、この内訳の 33.2%アメリカ合衆国: 引用元論文 3,025 件、この内訳の 17.2%イギリス: 引用元論文 913 件、この内訳の 5.2%オーストラリア: 引用元論文 643 件、この内訳の 3.7%インド: 引用元論文 450 件、この内訳の 2.6%ドイツ: 引用元論文 423 件、この内訳の 2.4%カナダ: 引用元論文 419 件、この内訳の 2.4%イタリア: 引用元論文 331 件、この内訳の 1.9%韓国: 引用元論文 326 件、この内訳の 1.8%フランス: 引用元論文 296 件、この内訳の 1.7%シンガポール: 引用元論文 286 件、この内訳の 1.6%スペイン: 引用元論文 276 件、この内訳の 1.6%
0%33.2%その他 24.7%

機関

分野

  • Computer Science37.7%
  • Biochemistry, Genetics and Molecular Biology18.9%
  • Medicine16.4%
  • Neuroscience6.6%
  • Engineering5.9%
  • Physics and Astronomy2.4%
  • その他12.1%

トピック

  • Face and Expression Recognition3.7%
  • Genetic Associations and Epidemiology3.1%
  • Advanced Image and Video Retrieval Techniques3%
  • Image Retrieval and Classification Techniques1.9%
  • Advanced Graph Neural Networks1.7%
  • Video Surveillance and Tracking Methods1.6%
  • その他85%

共著者

全論文

検索で開く
  1. Structured Graph Learning for Scalable Subspace Clustering: From Single View to Multiview

    著者: Zhao Kang, Zhiping Lin, Xiaofeng Zhu, Wenbo Xu - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2021 被引用: 364

  2. Efficient kNN Classification With Different Numbers of Nearest Neighbors

    著者: Shichao Zhang, Xuelong Li, Ming Zong, Xiaofeng Zhu, Ruili Wang - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2017 被引用: 1,354

  3. Adaptive Feature Projection With Distribution Alignment for Deep Incomplete Multi-View Clustering

    著者: Jie Xu, Chao Li, Liang Peng, Yazhou Ren, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2023 被引用: 163

  4. ManuChain II: Blockchained Smart Contract System as the Digital Twin of Decentralized Autonomous Manufacturing Toward Resilience in Industry 5.0

    著者: Jiewu Leng, Xiaofeng Zhu, Zhiqiang Huang, Kailin Xu, Zhihong Liu, Qiang Liu, Xin Chen - IEEE Transactions on Systems Man and Cybernetics Systems, IEEE Trans. Syst. Man Cybern. Syst. 2023 被引用: 151

  5. Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity

    著者: Jie Xu, Chao Li, Yazhou Ren, Liang Peng, Yujie Mo, Xiaoshuang Shi, Xiaofeng Zhu - AAAI Conference on Artificial Intelligence 2022 被引用: 125

  6. Learning k for kNN Classification

    著者: Shichao Zhang, Xuelong Li, Ming Zong, Xiaofeng Zhu, Debo Cheng - ACM Transactions on Intelligent Systems and Technology, ACM Trans. Intell. Syst. Technol. 2017 被引用: 565

  7. Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering

    著者: Jie Xu, Yazhou Ren, Huayi Tang, Xiaorong Pu, Xiaofeng Zhu, Ming Zeng, Lifang He - IEEE/CVF International Conference on Computer Vision (ICCV) 2021 被引用: 124

  8. FedNI: Federated Graph Learning With Network Inpainting for Population-Based Disease Prediction

    著者: Liang Peng, Nan Wang, Nicha C. Dvornek, Xiaofeng Zhu, Xiaoxiao Li - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2022 被引用: 117

  9. Interpretable learning based Dynamic Graph Convolutional Networks for Alzheimer's Disease analysis

    著者: Yonghua Zhu, Junbo Ma, Changan Yuan, Xiaofeng Zhu - Information Fusion, Inf. Fusion 2021 被引用: 173

  10. Simple Unsupervised Graph Representation Learning

    著者: Yujie Mo, Liang Peng, Jie Xu, Xiaoshuang Shi, Xiaofeng Zhu - AAAI Conference on Artificial Intelligence 2022 被引用: 115

  11. Effective feature learning and fusion of multimodality data using stage‐wise deep neural network for dementia diagnosis

    著者: Tao Zhou, Kim‐Han Thung, Xiaofeng Zhu, Dinggang Shen - Human Brain Mapping 2018 被引用: 263

  12. Assessing the contribution of rare variants to complex trait heritability from whole-genome sequence data

    著者: Pierrick Wainschtein, Deepti Jain, Zhili Zheng, TOPMed Anthropometry Working Group, Stella Aslibekyan, Diane M. Becker, Wenjian Bi, Jennifer A. Brody, Jenna C. Carlson, Adolfo Correa, Margaret Mengmeng Du, Lindsay Fernández‐Rhodes, Kendra Ferrier, Misa Graff, Xiuqing Guo, Jiang He, Nancy L. Heard‐Costa, Heather M. Highland, Joel N. Hirschhorn, Candace M Howard-Claudio, Carmen R. Isasi, Rebecca D. Jackson, Jicai Jiang, Roby Joehanes, Anne E. Justice, Rita R. Kalyani, Sharon L. R. Kardia, Ethan M. Lange, Meryl S. LeBoff, Seunggeun Lee, Xihao Li, Zilin Li, Elise Lim, D. Y. Lin, Xihong Lin, Simin Liu, Yingchang Lu, JoAnn E. Manson, Lisa W. Martin, Caitlin McHugh, Julie Mikulla, Solomon K. Musani, Maggie Ng, Deborah A. Nickerson, Nicholette Palmer, James A. Perry, Ulrike Peters, Michael Preuß, Qibin Qi, Laura M. Raffield, Laura J. Rasmussen‐Torvik, Alex P. Reiner, Emily M. Russell, Colleen M. Sitlani, Jennifer A. Smith, Cassandra N. Spracklen, Tao Wang, Zhe Wang, Jennifer Wessel, Hanfei Xu, Mohammad Yaser, Sachiko Yoneyama, Kendra A. Young, Jingwen Zhang, Xinruo Zhang, Hufeng Zhou, Xiaofeng Zhu, Sebastian Zoellner, Namiko Abe, Gonçalo R. Abecasis, François Aguet, Laura Almasy, Álvaro Alonso, Seth A. Ament, Peter Anderson, Pramod Anugu, Deborah Applebaum‐Bowden, Kristin Ardlie, Dan E. Arking, Allison E. Ashley‐Koch, Tim Assimes, Paul L. Auer, Dimitrios Avramopoulos, Najib Ayas, Adithya Balasubramanian, John Barnard, Kathleen C. Barnes, R. Graham Barr, Emily Barron‐Casella, Lucas Barwick, Terri H. Beaty, Gerald J. Beck, Lewis C. Becker, Rebecca Beer, Amber L. Beitelshees, Emelia J. Benjamin, Takis Benos, Marcos Bezerra, Larry Bielak, Joshua C. Bis ほか 360 名 - Nature Genetics 2022 被引用: 359

  13. One-Step Multi-View Spectral Clustering

    著者: Xiaofeng Zhu, Shichao Zhang, Wei He, Rongyao Hu, Cong Lei, Pengfei Zhu - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2018 被引用: 253

  14. Multiplex Graph Representation Learning Via Dual Correlation Reduction

    著者: Yujie Mo, Yuhuan Chen, Yajie Lei, Liang Peng, Xiaoshuang Shi, Changan Yuan, Xiaofeng Zhu - IEEE Transactions on Knowledge and Data Engineering, IEEE Trans. Knowl. Data Eng. 2023 被引用: 70

  15. GATE: Graph CCA for Temporal SElf-supervised Learning for Label-efficient fMRI Analysis

    著者: Liang Peng, Nan Wang, Jie Xu, Xiaofeng Zhu, Xiaoxiao Li - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2023 被引用: 67

  16. Multi-scale representation attention based deep multiple instance learning for gigapixel whole slide image analysis

    著者: Hangchen Xiang, Junyi Shen, Qingguo Yan, Meilian Xu, Xiaoshuang Shi, Xiaofeng Zhu - Medical Image Analysis, Medical Image Anal. 2023 被引用: 54

  17. Artificial Intelligence in Radiotherapy Treatment Planning: Present and Future

    著者: Chunhao Wang, Xiaofeng Zhu, Julian C. Hong, Dandan Zheng - Technology in Cancer Research & Treatment 2019 被引用: 240

  18. Universal Weighting Metric Learning for Cross-Modal Retrieval

    著者: Jiwei Wei, Yang Yang, Xing Xu, Xiaofeng Zhu, Heng Tao Shen - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2021 被引用: 91

  19. Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy

    著者: Thanveer Shaik, Xiaohui Tao, Haoran Xie, Lin Li, Xiaofeng Zhu, Qing Li - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2024 被引用: 44

  20. Multigraph Fusion for Dynamic Graph Convolutional Network

    著者: Jiangzhang Gan, Rongyao Hu, Yujie Mo, Zhao Kang, Liang Peng, Yonghua Zhu, Xiaofeng Zhu - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2022 被引用: 80

  21. GRLC: Graph Representation Learning With Constraints

    著者: Liang Peng, Yujie Mo, Jie Xu, Jialie Shen, Xiaoshuang Shi, Xiaoxiao Li, Heng Tao Shen, Xiaofeng Zhu - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2023 被引用: 56

  22. A novel federated multi-view clustering method for unaligned and incomplete data fusion

    著者: Yazhou Ren, Xinyue Chen, Jie Xu, Jingyu Pu, Yonghao Huang, Xiaorong Pu, Ce Zhu, Xiaofeng Zhu, Zhifeng Hao, Lifang He - Information Fusion, Inf. Fusion 2024 被引用: 42

  23. Interpretable medical deep framework by logits-constraint attention guiding graph-based multi-scale fusion for Alzheimer's disease analysis

    著者: Jinghao Xu, Chenxi Yuan, Xiaochuan Ma, Huifang Shang, Xiaoshuang Shi, Xiaofeng Zhu - Pattern Recognition, Pattern Recognit. 2024 被引用: 41

  24. Dual Label-Guided Graph Refinement for Multi-View Graph Clustering

    著者: Yawen Ling, Jianpeng Chen, Yazhou Ren, Xiaorong Pu, Jie Xu, Xiaofeng Zhu, Lifang He - AAAI Conference on Artificial Intelligence 2023 被引用: 39