Lei Xing

Active 1991–2026

Also published as
Lei, Xing
559
Papers
40,237
Citations
105
h-index
419
i10-index

Citations

Citations per year for Lei Xing1905: 1 citations1972: 1 citations1978: 5 citations1990: 1 citations1991: 2 citations1992: 1 citations1993: 4 citations1994: 2 citations1995: 3 citations1996: 1 citations1997: 1 citations1999: 3 citations2000: 8 citations2001: 10 citations2002: 20 citations2003: 25 citations2004: 20 citations2005: 34 citations2006: 62 citations2007: 84 citations2008: 157 citations2009: 122 citations2010: 148 citations2011: 153 citations2012: 202 citations2013: 173 citations2014: 183 citations2015: 218 citations2016: 234 citations2017: 324 citations2018: 443 citations2019: 1,041 citations2020: 1,502 citations2021: 1,936 citations2022: 1,861 citations2023: 1,755 citations2024: 2,615 citations2025: 2,205 citations2026: 585 citations2027: 2 citations1906–1971: no citations, so these years are not shown1973–1977: no citations, so these years are not shown1979–1989: no citations, so these years are not shown1998: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 6,404 citing papers, 33.5% of this breakdownUnited States: 3,474 citing papers, 18.2% of this breakdownUnited Kingdom: 822 citing papers, 4.3% of this breakdownGermany: 633 citing papers, 3.3% of this breakdownIndia: 565 citing papers, 3% of this breakdownSouth Korea: 480 citing papers, 2.5% of this breakdownCanada: 474 citing papers, 2.5% of this breakdownItaly: 457 citing papers, 2.4% of this breakdownHong Kong: 415 citing papers, 2.2% of this breakdownJapan: 402 citing papers, 2.1% of this breakdownAustralia: 388 citing papers, 2% of this breakdownFrance: 321 citing papers, 1.7% of this breakdown
0%33.5%Other 22.3%

Fields

  • Medicine31.4%
  • Engineering18.9%
  • Computer Science18.5%
  • Biochemistry, Genetics and Molecular Biology11.7%
  • Physics and Astronomy7.7%
  • Materials Science2.6%
  • Other9.2%

Topics

  • 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%
  • Other81.7%

Coauthors

All papers

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

    Authors: , , , , , , , , , , , , , , , - Medical Image Analysis, Medical Image Anal. 2024 cited by 988

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

    Authors: , , , - ICLR 2022 cited by 779

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

    Authors: , , , , , - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2020 cited by 539

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

    Authors: , , , - Nature Biomedical Engineering 2022 cited by 395

  5. Generalized Correntropy for Robust Adaptive Filtering

    Authors: , , , , - IEEE Transactions on Signal Processing, IEEE Trans. Signal Process. 2016 cited by 739

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

    Authors: , , , - ICML 2024 cited by 276

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

    Authors: , , - IEEE Transactions on Neural Networks and Learning Systems, IEEE Trans. Neural Networks Learn. Syst. 2022 cited by 200

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

    Authors: , , , , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2023 cited by 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

    Authors: , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2019 cited by 447

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

    Authors: , , - Nature Biomedical Engineering 2019 cited by 309

  11. Deep Generative Adversarial Neural Networks for Compressive Sensing MRI

    Authors: , , , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2018 cited by 572

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

    Authors: , , , , , - Biomaterials 2020 cited by 315

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

    Authors: , , , , , , , , , , - ICLR 2025 cited by 96

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

    Authors: , , , , - IEEE Signal Processing Letters, IEEE Signal Process. Lett. 2014 cited by 455

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

    Authors: , , , , , , , - Medical Physics 2020 cited by 271

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

    Authors: , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2009 cited by 147

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

    Authors: , , , , , , , , , , , , , , , , - The Lancet Digital Health 2022 cited by 163

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

    Authors: , , , , , , , - Journal of Controlled Release 2018 cited by 481

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

    Authors: , , , , , , , - Molecular Cancer 2020 cited by 522

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

    Authors: , , , , , , , , , , , , , , - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2023 cited by 59

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

    Authors: , , , , , , , , , , , , , , , , , , , - Nature Communications 2023 cited by 98

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

    Authors: , , , , , , , , - Nature Communications 2023 cited by 58

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

    Authors: , , , - arXiv (Cornell University), CoRR 2024 cited by 41

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

    Authors: , , , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2021 cited by 106