Guang Yang

Active 1941–2026

This name may cover more than one researcher. The papers and figures on this page are everything published under it, so they may combine several different people.

Also published as
Guang YANG
2,551
Papers
151,888
Citations
185
h-index
1,645
i10-index

Citations

Citations per year for Guang Yang1950: 2 citations1974: 1 citations1975: 1 citations1977: 1 citations1978: 2 citations1989: 2 citations1990: 1 citations1991: 2 citations1992: 1 citations1993: 4 citations1994: 6 citations1995: 18 citations1996: 40 citations1997: 44 citations1998: 71 citations1999: 79 citations2000: 95 citations2001: 132 citations2002: 128 citations2003: 178 citations2004: 149 citations2005: 217 citations2006: 277 citations2007: 326 citations2008: 356 citations2009: 439 citations2010: 408 citations2011: 478 citations2012: 485 citations2013: 647 citations2014: 830 citations2015: 965 citations2016: 1,048 citations2017: 1,218 citations2018: 1,536 citations2019: 3,733 citations2020: 5,305 citations2021: 6,366 citations2022: 6,222 citations2023: 5,939 citations2024: 8,760 citations2025: 6,124 citations2026: 940 citations2027: 6 citations1951–1973: no citations, so these years are not shown1976: no citations, so this year is not shown1979–1988: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorChina: 18,927 citing papers, 28.5% of this breakdownUnited States: 12,358 citing papers, 18.6% of this breakdownUnited Kingdom: 3,133 citing papers, 4.7% of this breakdownGermany: 2,474 citing papers, 3.7% of this breakdownIndia: 2,219 citing papers, 3.3% of this breakdownItaly: 1,836 citing papers, 2.8% of this breakdownCanada: 1,825 citing papers, 2.7% of this breakdownAustralia: 1,627 citing papers, 2.5% of this breakdownFrance: 1,485 citing papers, 2.2% of this breakdownSouth Korea: 1,428 citing papers, 2.2% of this breakdownJapan: 1,388 citing papers, 2.1% of this breakdownSpain: 1,139 citing papers, 1.7% of this breakdown
0%28.5%Other 25%

Fields

  • Medicine30.4%
  • Biochemistry, Genetics and Molecular Biology19.2%
  • Computer Science11.6%
  • Neuroscience11.5%
  • Engineering10.4%
  • Materials Science4%
  • Other12.9%

Topics

  • Neuroinflammation and Neurodegeneration Mechanisms2.3%
  • Radiomics and Machine Learning in Medical Imaging1.1%
  • Advanced Neural Network Applications1%
  • Immune cells in cancer1%
  • Electrospun Nanofibers in Biomedical Applications1%
  • Nanoplatforms for cancer theranostics1%
  • Other92.6%

Coauthors

All papers

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  1. Parameter-efficient fine-tuning of large-scale pre-trained language models

    Authors: , , , , , , , , , , , , , , , , , , , - Nature Machine Intelligence, Nat. Mac. Intell. 2023 cited by 906

  2. Microglia Promote Learning-Dependent Synapse Formation through Brain-Derived Neurotrophic Factor

    Authors: , , , , , , , , - Cell 2013 cited by 2,680

  3. Mitochondrial ROS promote mitochondrial dysfunction and inflammation in ischemic acute kidney injury by disrupting TFAM-mediated mtDNA maintenance

    Authors: , , , , , , , , , , - Theranostics 2020 cited by 789

  4. RingMo: A Remote Sensing Foundation Model With Masked Image Modeling

    Authors: , , , , , , , , , , , , , , - IEEE Transactions on Geoscience and Remote Sensing, IEEE Trans. Geosci. Remote. Sens. 2022 cited by 270

  5. ATP mediates rapid microglial response to local brain injury in vivo

    Authors: , , , , , , , , - Nature Neuroscience 2005 cited by 3,977

  6. Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Philip Teare, Xiaoxiang Zhu, Mishal Patel, Conor Cafolla, Hojjat Azadbakht, Joseph Jacob, Josh Lowe, Kang Zhang, Kyle Bradley, Marcel Wassin, Markus Holzer, Kangyu Ji, Maria Delgado Ortet, Tao Ai, Nicholas Walton, Pietro Lio, Samuel Stranks, Tolou Shadbahr, Weizhe Lin, Yunfei Zha, Zhangming Niu, James H. F. Rudd, Evis Sala, Carola-Bibiane Schönlieb - Nature Machine Intelligence, Nat. Mach. Intell. 2020 cited by 937

  7. DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction

    Authors: , , , , , , , , , , - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2017 cited by 1,109

  8. Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models

    Authors: , , , , , , , , , , , , , , , , , , , - arXiv (Cornell University), CoRR 2022 cited by 226

  9. In situ sprayed bioresponsive immunotherapeutic gel for post-surgical cancer treatment

    Authors: , , , , , , , , , , , , , , - Nature Nanotechnology 2018 cited by 1,016

  10. Deep learning based synthesis of MRI, CT and PET: Review and analysis

    Authors: , , , , , - Medical Image Analysis, Medical Image Anal. 2023 cited by 209

  11. RoboMIND: Benchmark on Multi-embodiment Intelligence Normative Data for Robot Manipulation

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Wang, Xingyu, Sixiang Chen, Zhenyu Wang, Pengju An, Siyuan Qian, Shanghang Zhang, Jian Tang - arXiv (Cornell University), CoRR 2024 cited by 112

  12. MSFT-YOLO: Improved YOLOv5 Based on Transformer for Detecting Defects of Steel Surface

    Authors: , , , , - Sensors 2022 cited by 301

  13. Recent progress in nanomedicine for enhanced cancer chemotherapy

    Authors: , , , , - Theranostics 2021 cited by 453

  14. Swin Transformer for Fast MRI

    Authors: , , , , , , , , - Neurocomputing 2022 cited by 207

  15. Amelioration of Alzheimer’s disease pathology by mitophagy inducers identified via machine learning and a cross-species workflow

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , - Nature Biomedical Engineering 2022 cited by 340

  16. Robotic versus laparoscopic surgery for middle and low rectal cancer (REAL): short-term outcomes of a multicentre randomised controlled trial

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Yanbing Zhou, Xiaodong Liu, Wei Zhang, Zheng Lou, Ren Zhao, Tao Zhang, Cheng Zhang, Da Li, Longwei Cheng, Zhaocheng Chi, Xiaoqiao Zhang, Guang Yang - ˜The œLancet. Gastroenterology & hepatology 2022 cited by 457

  17. A research agenda for ageing in China in the 21st century (2nd edition): Focusing on basic and translational research, long-term care, policy and social networks

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Tanjun Tong, Jean Woo - Ageing Research Reviews 2020 cited by 675

  18. The P2Y12 receptor regulates microglial activation by extracellular nucleotides

    Authors: , , , , , , - Nature Neuroscience 2006 cited by 1,553

  19. Transarterial chemoembolization with PD-(L)1 inhibitors plus molecular targeted therapies for hepatocellular carcinoma (CHANCE001)

    Authors: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Wenge Xing, Yong Fan, Hailan Lin, Zishu Zhang, Guohui Xu, Wenhao Hu, Qiang Tu, Hongying Su, Chuansheng Zheng, Yong Chen, Xuya Zhao, Zhu-ting Fang, Qi Wang, Qi Wang, Aibing Xu, Jian Xu, Qinghua Wu, Huanzhang Niu, Jian Wang, Feng Dai, Feng Dai, Qingdong Li, Rong-Shu Shi, Jiarui Li, Guang Yang, Hai‐Bin Shi, Jiansong Ji, Yue Liu, Zheng Cai, Po Song Yang, Yang Zhao, Xiaoli Zhu, Ligong Lu, Gao‐Jun Teng, Li-Gong Lu, Gao‐Jun Teng, for the CHANCE001 Investigators - Signal Transduction and Targeted Therapy 2023 cited by 283

  20. Global Transformer and Dual Local Attention Network via Deep-Shallow Hierarchical Feature Fusion for Retinal Vessel Segmentation

    Authors: , , , , , , , - IEEE Transactions on Cybernetics, IEEE Trans. Cybern. 2022 cited by 129

  21. Arsenic induces pancreatic dysfunction and ferroptosis via mitochondrial ROS-autophagy-lysosomal pathway

    Authors: , , , , , , , , , , , , , , - Journal of Hazardous Materials 2019 cited by 379

  22. Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks

    Authors: , , , , - Communications in computer and information science, MIUA 2017 cited by 837

  23. Radiomic analysis of contrast-enhanced CT predicts microvascular invasion and outcome in hepatocellular carcinoma

    Authors: , , , , , , , , , - Journal of Hepatology 2019 cited by 722

  24. Injectable immunomodulation-based porous chitosan microspheres/HPCH hydrogel composites as a controlled drug delivery system for osteochondral regeneration

    Authors: , , , , , , , , , , , , - Biomaterials 2022 cited by 186