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Lei Xing

1991–2026 年に発表

別表記
Lei, Xing
559
論文数
40,237
被引用数
105
h 指数
419
i10 指数

被引用数

Lei Xing の年別被引用数1905 年: 被引用 1 件1972 年: 被引用 1 件1978 年: 被引用 5 件1990 年: 被引用 1 件1991 年: 被引用 2 件1992 年: 被引用 1 件1993 年: 被引用 4 件1994 年: 被引用 2 件1995 年: 被引用 3 件1996 年: 被引用 1 件1997 年: 被引用 1 件1999 年: 被引用 3 件2000 年: 被引用 8 件2001 年: 被引用 10 件2002 年: 被引用 20 件2003 年: 被引用 25 件2004 年: 被引用 20 件2005 年: 被引用 34 件2006 年: 被引用 62 件2007 年: 被引用 84 件2008 年: 被引用 157 件2009 年: 被引用 122 件2010 年: 被引用 148 件2011 年: 被引用 153 件2012 年: 被引用 202 件2013 年: 被引用 173 件2014 年: 被引用 183 件2015 年: 被引用 218 件2016 年: 被引用 234 件2017 年: 被引用 324 件2018 年: 被引用 443 件2019 年: 被引用 1,041 件2020 年: 被引用 1,502 件2021 年: 被引用 1,936 件2022 年: 被引用 1,861 件2023 年: 被引用 1,755 件2024 年: 被引用 2,615 件2025 年: 被引用 2,205 件2026 年: 被引用 585 件2027 年: 被引用 2 件1906〜1971 年は被引用が無いため表示していません1973〜1977 年は被引用が無いため表示していません1979〜1989 年は被引用が無いため表示していません1998 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 6,404 件、この内訳の 33.5%アメリカ合衆国: 引用元論文 3,474 件、この内訳の 18.2%イギリス: 引用元論文 822 件、この内訳の 4.3%ドイツ: 引用元論文 633 件、この内訳の 3.3%インド: 引用元論文 565 件、この内訳の 3%韓国: 引用元論文 480 件、この内訳の 2.5%カナダ: 引用元論文 474 件、この内訳の 2.5%イタリア: 引用元論文 457 件、この内訳の 2.4%香港: 引用元論文 415 件、この内訳の 2.2%日本: 引用元論文 402 件、この内訳の 2.1%オーストラリア: 引用元論文 388 件、この内訳の 2%フランス: 引用元論文 321 件、この内訳の 1.7%
0%33.5%その他 22.3%

機関

分野

  • Medicine31.4%
  • Engineering18.9%
  • Computer Science18.5%
  • Biochemistry, Genetics and Molecular Biology11.7%
  • Physics and Astronomy7.7%
  • Materials Science2.6%
  • その他9.2%

トピック

  • Medical Imaging Techniques and Applications3.8%
  • Advanced Radiotherapy Techniques3.5%
  • Radiomics and Machine Learning in Medical Imaging3.4%
  • AI in cancer detection2.6%
  • Advanced Neural Network Applications2.5%
  • Medical Image Segmentation Techniques2.5%
  • その他81.7%

共著者

全論文

検索で開く
  1. TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers

    著者: Jieneng Chen, Jieru Mei, Xianhang Li, Yongyi Lu, Qihang Yu, Qingyue Wei, Xiangde Luo, Yutong Xie, Ehsan Adeli, Yan Wang, Matthew P. Lungren, Shaoting Zhang, Lei Xing, Le Lu, Alan L. Yuille, Yuyin Zhou - Medical Image Analysis, Medical Image Anal. 2024 被引用: 988

  2. Solving Inverse Problems in Medical Imaging with Score-Based Generative Models

    著者: Yang Song, Liyue Shen, Lei Xing, Stefano Ermon - ICLR 2022 被引用: 779

  3. Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation

    著者: Xiaomeng Li, Lequan Yu, Hao Chen, Chi-Wing Fu, Lei Xing, Pheng-Ann Heng - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2020 被引用: 539

  4. Shifting machine learning for healthcare from development to deployment and from models to data

    著者: Angela Zhang, Lei Xing, James Zou, Joseph C. Wu - Nature Biomedical Engineering 2022 被引用: 395

  5. Generalized Correntropy for Robust Adaptive Filtering

    著者: Badong Chen, Lei Xing, Haiquan Zhao, Nanning Zheng, José C. Príncipe - IEEE Transactions on Signal Processing, IEEE Trans. Signal Process. 2016 被引用: 739

  6. In-context Vectors: Making In Context Learning More Effective and Controllable Through Latent Space Steering

    著者: Sheng Liu, Haotian Ye, Lei Xing, James Y. Zou - ICML 2024 被引用: 276

  7. NeRP: Implicit Neural Representation Learning With Prior Embedding for Sparsely Sampled Image Reconstruction

    著者: Liyue Shen, John M. Pauly, Lei Xing - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2022 被引用: 200

  8. Label-Efficient Self-Supervised Federated Learning for Tackling Data Heterogeneity in Medical Imaging

    著者: Rui Yan, Liangqiong Qu, Qingyue Wei, Shih-Cheng Huang, Liyue Shen, Daniel L. Rubin, Lei Xing, Yuyin Zhou - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2023 被引用: 164

  9. Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images

    著者: Hyunseok Seo, Charles W. Huang, Maxime Bassenne, Ruoxiu Xiao, Lei Xing - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2019 被引用: 447

  10. Patient-specific reconstruction of volumetric computed tomography images from a single projection view via deep learning

    著者: Liyue Shen, Wei Zhao, Lei Xing - Nature Biomedical Engineering 2019 被引用: 309

  11. Deep Generative Adversarial Neural Networks for Compressive Sensing MRI

    著者: Morteza Mardani, Enhao Gong, Joseph Y. Cheng, Shreyas S. Vasanawala, Greg Zaharchuk, Lei Xing, John M. Pauly - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2018 被引用: 572

  12. Fenton reaction-independent ferroptosis therapy via glutathione and iron redox couple sequentially triggered lipid peroxide generator

    著者: Yujing He, Xiaoying Liu, Lei Xing, Xing Wan, Xin Chang, Hu‐Lin Jiang - Biomaterials 2020 被引用: 315

  13. MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for Medicine

    著者: Yunfei Xie, Ce Zhou, Lang Gao, Juncheng Wu, Xianhang Li, Hong-Yu Zhou, Sheng Liu, Lei Xing, James Zou, Cihang Xie, Yuyin Zhou - ICLR 2025 被引用: 96

  14. Steady-State Mean-Square Error Analysis for Adaptive Filtering under the Maximum Correntropy Criterion

    著者: Badong Chen, Lei Xing, Junli Liang, Nanning Zheng, José C. Príncipe - IEEE Signal Processing Letters, IEEE Signal Process. Lett. 2014 被引用: 455

  15. Machine learning techniques for biomedical image segmentation: An overview of technical aspects and introduction to state‐of‐art applications

    著者: Hyunseok Seo, Masoud Badiei Khuzani, Varun Vasudevan, Charles Huang, Hongyi Ren, Ruoxiu Xiao, Xiao Jia, Lei Xing - Medical Physics 2020 被引用: 271

  16. Self-Supervised Feature Learning via Exploiting Multi-Modal Data for Retinal Disease Diagnosis

    著者: Xiaomeng Li, Mengyu Jia, Md Tauhidul Islam, Lequan Yu, Lei Xing - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2009 被引用: 147

  17. Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study

    著者: Yuming Jiang, Zhicheng Zhang, Qingyu Yuan, Wei Wang, Hongyu Wang, Tuanjie Li, Weicai Huang, Jingjing Xie, Chuanli Chen, Zepang Sun, Yu Jiang, Yikai Xu, George A. Poultsides, Lei Xing, Zhiwei Zhou, Guoxin Li, Ruijiang Li - The Lancet Digital Health 2022 被引用: 163

  18. Applications of π-π stacking interactions in the design of drug-delivery systems

    著者: Wan‐Ru Zhuang, Yi-Xiang Wang, Peng‐Fei Cui, Lei Xing, Jaiwoo Lee, Dongyoon Kim, Hu‐Lin Jiang, Yu‐Kyoung Oh - Journal of Controlled Release 2018 被引用: 481

  19. The circRNA circSEPT9 mediated by E2F1 and EIF4A3 facilitates the carcinogenesis and development of triple-negative breast cancer

    著者: Xiaying Zheng, Mengge Huang, Lei Xing, Rui Yang, Xiaosong Wang, Rong Jiang, Luyu Zhang, Junxia Chen - Molecular Cancer 2020 被引用: 522

  20. Adaptive Region-Specific Loss for Improved Medical Image Segmentation

    著者: Yizheng Chen, Lequan Yu, Jen-Yeu Wang, Neil Panjwani, Jean-Pierre Obeid, Wu Liu, Lianli Liu, Nataliya Kovalchuk, Michael Francis Gensheimer, Lucas Kas Vitzthum, Beth M. Beadle, Daniel T. Chang, Quynh-Thu Le, Bin Han, Lei Xing - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2023 被引用: 59

  21. Biology-guided deep learning predicts prognosis and cancer immunotherapy response

    著者: Yuming Jiang, Zhicheng Zhang, Wei Wang, Weicai Huang, Chuanli Chen, Sujuan Xi, M. Usman Ahmad, Yulan Ren, Shengtian Sang, Jingjing Xie, Jen‐Yeu Wang, Wenjun Xiong, Tuanjie Li, Zhen Han, Qingyu Yuan, Yikai Xu, Lei Xing, George A. Poultsides, Guoxin Li, Ruijiang Li - Nature Communications 2023 被引用: 98

  22. Revealing hidden patterns in deep neural network feature space continuum via manifold learning

    著者: Md Tauhidul Islam, Zixia Zhou, Hongyi Ren, Masoud Badiei Khuzani, Daniel S. Kapp, James Zou, Lü Tian, Joseph C. Liao, Lei Xing - Nature Communications 2023 被引用: 58

  23. Reducing Hallucinations in Vision-Language Models via Latent Space Steering

    著者: Sheng Liu, Haotian Ye, Lei Xing, James Zou - arXiv (Cornell University), CoRR 2024 被引用: 41

  24. Rotation-Oriented Collaborative Self-Supervised Learning for Retinal Disease Diagnosis

    著者: Xiaomeng Li, Xiaowei Hu, Xiaojuan Qi, Lequan Yu, Wei Zhao, Pheng-Ann Heng, Lei Xing - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2021 被引用: 106