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Engineering and Technology
China
2026
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Computer Science
China
2025

D-Index & Metrics

Engineering and Technology

D-Index
99
Citations
49302
World Ranking
153
National Ranking
25

Research.com Recognitions

  • 2026 - Research.com Engineering and Technology in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award
  • 2011 - IEEE Fellow For contributions to medical imaging and robotic surgery

Overview

Guang-Zhong Yang is affiliated with Shanghai Jiao Tong University in China. Their research spans multiple disciplines, with a strong emphasis on engineering, medicine, and computer science.

Their scholarly output covers several subfields, including biomedical engineering, computer vision and pattern recognition, radiology, nuclear medicine and imaging, pulmonary and respiratory medicine, and surgery.

Yang's main research topics include:

  • Soft Robotics and Applications
  • Micro and Nano Robotics
  • Surgical Simulation and Training
  • Lung Cancer Diagnosis and Treatment
  • Advanced Sensor and Energy Harvesting Materials
  • Radiomics and Machine Learning in Medical Imaging
  • Human Pose and Action Recognition

They have coauthored frequently with a core group of researchers, including Yao Guo, Yun Gu, Anzhu Gao, Benny Lo, and Xiao Gu.

Yang's publications appear in both journals and preprint archives. The most common publication venues include:

  • arXiv (Cornell University)
  • Science Robotics
  • IEEE Transactions on Medical Imaging
  • IEEE Transactions on Medical Robotics and Bionics
  • Medical Image Analysis

Recent papers authored or coauthored by Yang include:

  • "Combating COVID-19-The role of robotics in managing public health and infectious diseases" (2020, Science Robotics)

While not an author of the following papers, these also represent relevant recent work within their collaborative and topical domains:

  • "A decade retrospective of medical robotics research from 2010 to 2020" (2021, Science Robotics)
  • "Application of artificial intelligence in surgery" (2020, Frontiers of Medicine)
  • "Magnetic soft microfiberbots for robotic embolization" (2024, Science Robotics)
  • "Progress in robotics for combating infectious diseases" (2021, Science Robotics)

They have published at least one book with Springer, Singapore, titled "Medical Robotics" (2023).

Among their professional honors, Yang was named an IEEE Fellow in 2011 for contributions to medical imaging and robotic surgery.

Best Publications

  • XAI—Explainable artificial intelligence

    David Gunning;Mark Stefik;Jaesik Choi;Timothy Miller

  • Deep Learning for Health Informatics.

    Daniele Ravi;Charence Wong;Fani Deligianni;Melissa Berthelot

  • The grand challenges of Science Robotics

    Guang Zhong Yang;Jim Bellingham;Pierre E. Dupont;Peer Fischer;Peer Fischer

  • Abnormal Subendocardial Perfusion in Cardiac Syndrome X Detected by Cardiovascular Magnetic Resonance Imaging

    Jonathan R. Panting;Peter D. Gatehouse;Guang-Zhong Yang;Frank Grothues

  • Unobtrusive Sensing and Wearable Devices for Health Informatics

    Ya-Li Zheng;Xiao-Rong Ding;Carmen Chung Yan Poon;Benny Ping Lai Lo

  • Medical Image Computing and Computer-Assisted Intervention

    G Z Yang;D Hawkes;D Rueckert;J A Noble

  • Big Data for Health

    Javier Andreu-Perez;Carmen C. Y. Poon;Robert D. Merrifield;Stephen T. C. Wong

  • Helical and retrograde secondary flow patterns in the aortic arch studied by three-directional magnetic resonance velocity mapping.

    P J Kilner;G Z Yang;R H Mohiaddin;D N Firmin

  • Medical robotics—Regulatory, ethical, and legal considerations for increasing levels of autonomy

    Guang Zhong Yang;James Cambias;Kevin Cleary;Eric Daimler

  • Combating COVID-19-The role of robotics in managing public health and infectious diseases.

    Guang-Zhong Yang;Bradley J. Nelson;Robin R. Murphy;Howie Choset

  • Assessment of the cerebral cortex during motor task behaviours in adults: a systematic review of functional near infrared spectroscopy (fNIRS) studies.

    Daniel Richard Leff;Felipe Orihuela-Espina;Clare E. Elwell;Thanos Athanasiou

  • Technologies for global health

    Peter Howitt;Ara Darzi;Guang-Zhong Yang;Hutan Ashrafian

  • Emerging Robotic Platforms for Minimally Invasive Surgery

    V. Vitiello;Su-Lin Lee;T. P. Cundy;Guang-Zhong Yang

  • A Deep Learning Approach to on-Node Sensor Data Analytics for Mobile or Wearable Devices

    Daniele Ravi;Charence Wong;Benny Lo;Guang-Zhong Yang

  • A decade retrospective of medical robotics research from 2010 to 2020.

    Pierre E. Dupont;Bradley J. Nelson;Michael Goldfarb;Blake Hannaford

  • Toward Pervasive Gait Analysis With Wearable Sensors: A Systematic Review

    Shanshan Chen;John Lach;Benny Lo;Guang-Zhong Yang

  • A wearable multisensing patch for continuous sweat monitoring.

    Salzitsa Anastasova;Blair Crewther;Pawel Bembnowicz;Vincenzo Curto

  • Sensor Positioning for Activity Recognition Using Wearable Accelerometers

    L. Atallah;B. Lo;R. King;Guang-Zhong Yang

  • From Wearable Sensors to Smart Implants-–Toward Pervasive and Personalized Healthcare

    Javier Andreu-Perez;Daniel R. Leff;H. M. D. Ip;Guang-Zhong Yang

  • Diffuse optical imaging of the healthy and diseased breast: A systematic review

    Daniel Richard Leff;Oliver J. Warren;Louise C. Enfield;Adam Gibson

  • Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2009

    Guang-Zhong Yang;David Hawkes;Daniel Rueckert;Alison Noble

Frequent Co-Authors

Ara Darzi
Ara Darzi Imperial College London
Benny Lo
Benny Lo Imperial College London
David N. Firmin
David N. Firmin National Institutes of Health
Danail Stoyanov
Danail Stoyanov University College London
Thanos Athanasiou
Thanos Athanasiou Imperial College London
Dudley J. Pennell
Dudley J. Pennell National Institutes of Health
David M. Hansell
David M. Hansell National Institutes of Health
Volker Schmid
Volker Schmid Ludwig-Maximilians-Universität München
Nassir Navab
Nassir Navab Technical University of Munich
Yang Hao
Yang Hao Queen Mary University of London

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