Yong Du

Active 2000–2026

330
Papers
22,811
Citations
79
h-index
220
i10-index

Citations

Citations per year for Yong Du1978: 2 citations1980: 1 citations2000: 1 citations2002: 8 citations2003: 13 citations2004: 10 citations2005: 16 citations2006: 26 citations2007: 44 citations2008: 41 citations2009: 42 citations2010: 35 citations2011: 36 citations2012: 45 citations2013: 60 citations2014: 76 citations2015: 73 citations2016: 168 citations2017: 290 citations2018: 406 citations2019: 728 citations2020: 869 citations2021: 948 citations2022: 775 citations2023: 733 citations2024: 1,113 citations2025: 780 citations2026: 110 citations1979: no citations, so this year is not shown1981–1999: no citations, so these years are not shown2001: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 2,872 citing papers, 28.6% of this breakdownUnited States: 1,539 citing papers, 15.3% of this breakdownUnited Kingdom: 519 citing papers, 5.2% of this breakdownGermany: 428 citing papers, 4.3% of this breakdownIndia: 324 citing papers, 3.2% of this breakdownAustralia: 285 citing papers, 2.8% of this breakdownFrance: 282 citing papers, 2.8% of this breakdownCanada: 278 citing papers, 2.8% of this breakdownSouth Korea: 248 citing papers, 2.5% of this breakdownItaly: 234 citing papers, 2.3% of this breakdownJapan: 208 citing papers, 2.1% of this breakdownNetherlands: 163 citing papers, 1.6% of this breakdown
0%28.6%Other 26.5%

Fields

  • Computer Science34.6%
  • Medicine27.7%
  • Biochemistry, Genetics and Molecular Biology9.7%
  • Engineering7.9%
  • Immunology and Microbiology3.6%
  • Materials Science3.6%
  • Other12.9%

Topics

  • Human Pose and Action Recognition7.5%
  • Gait Recognition and Analysis3.9%
  • Anomaly Detection Techniques and Applications3.7%
  • Hand Gesture Recognition Systems2.4%
  • Emotion and Mood Recognition1.5%
  • GDF15 and Related Biomarkers1.4%
  • Other79.6%

Coauthors

All papers

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  1. Hierarchical recurrent neural network for skeleton based action recognition

    Authors: , , - IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015 cited by 1,962

  2. The metabolic effects of GDF15 are mediated by the orphan receptor GFRAL

    Authors: , , , , , , , , , , , , , , , , , , , , , , , - Nature Medicine 2017 cited by 650

  3. ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image Registration

    Authors: , , , , - arXiv (Cornell University), CoRR 2021 cited by 151

  4. SCORE2-Diabetes: 10-year cardiovascular risk estimation in type 2 diabetes in Europe

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Tamara Poljičanin, Ivan Pristaš, Peter Rossing, Reiff Sascha, Christa Scheidt‐Nave, Iztok Štotl, Gail Tibor, Vilma Urbančič‐Rovan, An-Sofie Vanherwegen, Dorte Vistisen, Yong Du, Matthew R. Walker, Peter Willeit, Brian A. Ference, Dirk De Bacquer, Martin Halle, Radu Huculeci, John W. McEvoy, Adam Timmis, Panagiotis Vardas, Jannick A N Dorresteijn, Ian Graham, Angela Wood, Björn Eliasson, William G. Herrington, John Danesh, Dı́dac Mauricio, M. Massi Benedetti, Naveed Sattar, Frank L.J. Visseren, Sarah H. Wild, Emanuele Di Angelantonio, Beverley Balkau, Fabrice Bonnet, Frédéric Fumeron, Hannah Stocker, Bernd Holleczek, Sabine Schipf, Carsten Oliver Schmidt, Marcus Dörr, Herbert Tilg, Christoph Leitner, Marlene Notdurfter, Julie Taylor, Caroline Dale, David Prieto‐Merino, Richard F. Gillum, Astrid Lavens, An-Sofie Vanherwegen, Tamara Poljičanin, Ivan Pristaš, Tamara Buble, Pero Ivanko, Peter Rossing, Bendix Carstensen, Christin Heidemann, Yong Du, Christa Scheidt‐Nave, Tibor Gall, János Sándor, Zane Baltane, Santa Pildava, Jana Lepiksone, Caroline Jane Magri, Joseph Azzopardi, Iztok Štotl, Jordi Real, Bogdan Vlacho, Manel Mata‐Cases - European Heart Journal 2023 cited by 301

  5. Facial Expression Recognition Based on Deep Evolutional Spatial-Temporal Networks

    Authors: , , , - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2017 cited by 480

  6. Skeleton based action recognition with convolutional neural network

    Authors: , , - 3rd IAPR Asian Conference on Pattern Recognition (ACPR) 2015 cited by 430

  7. Adiponectin/AdiopR1 signaling prevents mitochondrial dysfunction and oxidative injury after traumatic brain injury in a SIRT3 dependent manner

    Authors: , , , , , , , , , , , , , - Redox Biology 2022 cited by 105

  8. TGFβ reprograms TNF stimulation of macrophages towards a non-canonical pathway driving inflammatory osteoclastogenesis

    Authors: , , , , , , - Nature Communications 2022 cited by 111

  9. Loss of TRIM29 mitigates viral myocarditis by attenuating PERK-driven ER stress response in male mice

    Authors: , , , , , , , , - Nature Communications 2024 cited by 95

  10. Learning From the Master: Distilling Cross-Modal Advanced Knowledge for Lip Reading

    Authors: , , , , - IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021 cited by 68

  11. Targeted radionuclide therapy in combined-modality regimens

    Authors: , , , - The Lancet Oncology 2017 cited by 174

  12. Deep Learning Classification of Systemic Sclerosis Skin Using the MobileNetV2 Model

    Authors: , , , , , , , - IEEE Open Journal of Engineering in Medicine and Biology 2021 cited by 100

  13. Identification of poly(ADP-ribose) polymerase 9 (PARP9) as a noncanonical sensor for RNA virus in dendritic cells

    Authors: , , , , , , , - Nature Communications 2021 cited by 114

  14. Ephrin receptor A2 is an epithelial cell receptor for Epstein–Barr virus entry

    Authors: , , , , , , , , , , , , , , , , , , , , - Nature Microbiology 2017 cited by 242

  15. HJM-561, a Potent, Selective, and Orally Bioavailable EGFR PROTAC that Overcomes Osimertinib-Resistant EGFR Triple Mutations

    Authors: , , , , , , , , , - Molecular Cancer Therapeutics 2022 cited by 64

  16. Deep Semisupervised Transfer Learning for Fully Automated Whole-Body Tumor Quantification and Prognosis of Cancer on PET/CT

    Authors: , , , , , , , - Journal of Nuclear Medicine 2024 cited by 54

  17. TransMorph: Transformer for unsupervised medical image registration

    Authors: , , , , , - Medical Image Analysis, Medical Image Anal. 2022 cited by 702

  18. Neuropilin 1 is an entry factor that promotes EBV infection of nasopharyngeal epithelial cells

    Authors: , , , , , , , , , , , , , , , , , - Nature Communications 2015 cited by 213

  19. Water-solubility of chitosan and its antimicrobial activity

    Authors: , , , , , - Carbohydrate Polymers 2005 cited by 715

  20. PET imaging of microglia by targeting macrophage colony-stimulating factor 1 receptor (CSF1R)

    Authors: , , , , , , , , , , , , , , , , , , , , , , - National Academy of Sciences, Proceedings of the National Academy of Sciences 2019 cited by 197

  21. TRIM18 is a critical regulator of viral myocarditis and organ inflammation

    Authors: , , , , , , , , , - Journal of Biomedical Science 2022 cited by 63

  22. Investigating the impact of various sorghum types on the key aroma compounds of Sichuan Xiaoqu Baijiu through application of the sensomics approach

    Authors: , , , , , , , , - Food Chemistry X 2024 cited by 72

  23. Representation Learning of Temporal Dynamics for Skeleton-Based Action Recognition

    Authors: , , - IEEE Transactions on Image Processing, IEEE Trans. Image Process. 2016 cited by 158

  24. A Survey on Deep Learning in Medical Image Registration: New Technologies, Uncertainty, Evaluation Metrics, and Beyond

    Authors: , , , , , , , - Medical Image Analysis, Medical Image Anal. 2024 cited by 122