Yong Xia

Active 1988–2026

781
Papers
47,835
Citations
102
h-index
472
i10-index

Citations

Citations per year for Yong Xia1981: 1 citations1988: 2 citations1989: 1 citations1990: 6 citations1991: 3 citations1992: 1 citations1993: 1 citations1994: 6 citations1995: 9 citations1996: 5 citations1997: 30 citations1998: 129 citations1999: 232 citations2000: 214 citations2001: 188 citations2002: 181 citations2003: 190 citations2004: 140 citations2005: 154 citations2006: 143 citations2007: 129 citations2008: 169 citations2009: 144 citations2010: 133 citations2011: 181 citations2012: 199 citations2013: 213 citations2014: 225 citations2015: 262 citations2016: 302 citations2017: 377 citations2018: 537 citations2019: 1,216 citations2020: 2,019 citations2021: 2,283 citations2022: 2,030 citations2023: 1,892 citations2024: 2,352 citations2025: 1,836 citations2026: 439 citations2027: 3 citations1982–1987: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 7,088 citing papers, 30.7% of this breakdownUnited States: 3,744 citing papers, 16.2% of this breakdownIndia: 1,174 citing papers, 5.1% of this breakdownUnited Kingdom: 1,011 citing papers, 4.4% of this breakdownAustralia: 678 citing papers, 3% of this breakdownGermany: 608 citing papers, 2.6% of this breakdownItaly: 603 citing papers, 2.6% of this breakdownSouth Korea: 534 citing papers, 2.3% of this breakdownCanada: 488 citing papers, 2.1% of this breakdownJapan: 487 citing papers, 2.1% of this breakdownFrance: 448 citing papers, 2% of this breakdownHong Kong: 416 citing papers, 1.8% of this breakdown
0%30.7%Other 25.1%

Fields

  • Medicine40.6%
  • Computer Science24.7%
  • Biochemistry, Genetics and Molecular Biology13.1%
  • Engineering8.9%
  • Neuroscience3%
  • Immunology and Microbiology2.1%
  • Other7.6%

Topics

  • AI in cancer detection3.7%
  • Radiomics and Machine Learning in Medical Imaging3.4%
  • COVID-19 diagnosis using AI2.9%
  • Advanced Neural Network Applications2.5%
  • Medical Image Segmentation Techniques2.3%
  • Brain Tumor Detection and Classification1.6%
  • Other83.6%

Coauthors

All papers

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  1. Improvement of the anticancer efficacy of PD-1/PD-L1 blockade via combination therapy and PD-L1 regulation

    Authors: , , , , , , - Journal of Hematology & Oncology 2022 cited by 456

  2. Attention Residual Learning for Skin Lesion Classification

    Authors: , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2019 cited by 560

  3. The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Griffin Struyk, Alexandra Austin, Ben Simpson, Michael Hagström, Sierra Virnig, John French, Nitin Venkatesh, Sarah Chan, Keenan Moore, Anna Jacobsen, Susan Austin, Mark Austin, Subodh Regmi, Nikolaos Papanikolopoulos, Christopher J. Weight - arXiv (Cornell University), CoRR 2023 cited by 88

  4. Disease-Image-Specific Learning for Diagnosis-Oriented Neuroimage Synthesis With Incomplete Multi-Modality Data

    Authors: , , , - IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Trans. Pattern Anal. Mach. Intell. 2021 cited by 125

  5. Medical image classification using synergic deep learning

    Authors: , , , - Medical Image Analysis, Medical Image Anal. 2019 cited by 394

  6. Viral Pneumonia Screening on Chest X-Rays Using Confidence-Aware Anomaly Detection

    Authors: , , , , , , , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2020 cited by 387

  7. Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT

    Authors: , , , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2018 cited by 490

  8. Inter-Slice Context Residual Learning for 3D Medical Image Segmentation

    Authors: , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2020 cited by 133

  9. Circular RNA ACTN4 promotes intrahepatic cholangiocarcinoma progression by recruiting YBX1 to initiate FZD7 transcription

    Authors: , , , , , , , , , , , , - Journal of Hepatology 2021 cited by 366

  10. Survival Prediction via Hierarchical Multimodal Co-Attention Transformer: A Computational Histology-Radiology Solution

    Authors: , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2023 cited by 72

  11. A transformer model blended with CNN and denoising autoencoder for inter-patient ECG arrhythmia classification

    Authors: , , - Biomedical Signal Processing and Control, Biomed. Signal Process. Control. 2023 cited by 70

  12. Thermal runaway mechanism of lithium ion battery for electric vehicles: A review

    Authors: , , , , , - Energy storage materials 2017 cited by 3,898

  13. Consistency-Guided Differential Decoding for Enhancing Semi-Supervised Medical Image Segmentation

    Authors: , , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2024 cited by 57

  14. Detecting atrial fibrillation by deep convolutional neural networks

    Authors: , , , - Computers in Biology and Medicine, Comput. Biol. Medicine 2017 cited by 356

  15. D-UNet: A Dimension-Fusion U Shape Network for Chronic Stroke Lesion Segmentation

    Authors: , , , , - IEEE/ACM Transactions on Computational Biology and Bioinformatics, IEEE ACM Trans. Comput. Biol. Bioinform. 2019 cited by 213

  16. NFN+: A novel network followed network for retinal vessel segmentation

    Authors: , , , , - Neural Networks 2020 cited by 187

  17. Semi-supervised adversarial model for benign-malignant lung nodule classification on chest CT

    Authors: , , - Medical Image Analysis, Medical Image Anal. 2019 cited by 205

  18. PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training

    Authors: , , , - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023 cited by 50

  19. Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019

    Authors: , - Journal of Sound and Vibration 2020 cited by 648

  20. Triple attention learning for classification of 14 thoracic diseases using chest radiography

    Authors: , , , , , - Medical Image Analysis, Medical Image Anal. 2020 cited by 138

  21. PICK: Predict and Mask for Semi-supervised Medical Image Segmentation

    Authors: , , , - International Journal of Computer Vision, Int. J. Comput. Vis. 2025 cited by 43

  22. Survey of Robot 3D Path Planning Algorithms

    Authors: , , , , , - Journal of Control Science and Engineering 2016 cited by 321

  23. Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT

    Authors: , , , , - Information Fusion, Inf. Fusion 2017 cited by 279

  24. Spatially-Constrained Fisher Representation for Brain Disease Identification With Incomplete Multi-Modal Neuroimages

    Authors: , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2020 cited by 97