D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 67 Citations 19,633 573 World Ranking 990 National Ranking 90

Research.com Recognitions

Awards & Achievements

2011 - IEEE Fellow For contributions to medical imaging and robotic surgery

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Surgery
  • Internal medicine

Guang-Zhong Yang mainly focuses on Artificial intelligence, Computer vision, Simulation, Wearable computer and Human–computer interaction. His research on Artificial intelligence often connects related topics like Invasive surgery. His research integrates issues of Imaging phantom and Visualization in his study of Computer vision.

Guang-Zhong Yang has included themes like Gait analysis and Medical robotics in his Simulation study. The study incorporates disciplines such as Wireless sensor network, Activity recognition and Sensor fusion in addition to Wearable computer. His Human–computer interaction study integrates concerns from other disciplines, such as Control engineering, Eye tracking and Activities of daily living.

His most cited work include:

  • Body sensor networks (681 citations)
  • Abnormal Subendocardial Perfusion in Cardiac Syndrome X Detected by Cardiovascular Magnetic Resonance Imaging (654 citations)
  • Deep Learning for Health Informatics. (626 citations)

What are the main themes of his work throughout his whole career to date?

Guang-Zhong Yang mostly deals with Artificial intelligence, Computer vision, Robot, Simulation and Pattern recognition. His work on Artificial intelligence deals in particular with Robotics, Segmentation, Feature, Feature extraction and Visualization. His studies deal with areas such as Invasive surgery and Imaging phantom as well as Computer vision.

His Robot research is multidisciplinary, incorporating perspectives in Control engineering, Robotic surgery and Human–computer interaction.

He most often published in these fields:

  • Artificial intelligence (43.03%)
  • Computer vision (27.14%)
  • Robot (14.22%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (43.03%)
  • Robot (14.22%)
  • Pattern recognition (8.55%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Artificial intelligence, Robot, Pattern recognition, Computer vision and Segmentation. His Artificial intelligence and Convolutional neural network, Robotics, Feature, Deep learning and Image segmentation investigations all form part of his Artificial intelligence research activities. His Convolutional neural network research includes themes of Normalization and Normalization.

He combines subjects such as Imaging phantom, Simulation and Human–computer interaction with his study of Robot. Guang-Zhong Yang is studying Feature extraction, which is a component of Pattern recognition. Guang-Zhong Yang has researched Computer vision in several fields, including Gait analysis and Endomicroscopy.

Between 2017 and 2021, his most popular works were:

  • The grand challenges of Science Robotics (361 citations)
  • Combating COVID-19-The role of robotics in managing public health and infectious diseases. (138 citations)
  • A Self-Adaptive Online Brain–Machine Interface of a Humanoid Robot Through a General Type-2 Fuzzy Inference System (59 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Surgery
  • Internal medicine

Guang-Zhong Yang focuses on Artificial intelligence, Robot, Computer vision, Robotics and Pattern recognition. His study connects Brain–computer interface and Artificial intelligence. His Robot study combines topics in areas such as Imaging phantom and Simulation, Haptic technology.

His research in Computer vision intersects with topics in Aortic repair, Fluoroscopic image, Motion planning and Computed tomography. His Robotics study combines topics from a wide range of disciplines, such as Acoustics, Engineering management, Continuum, Soft robotics and Robustness. His Pattern recognition research is multidisciplinary, incorporating elements of Brain cancer, Image and Feature.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Body sensor networks

Guang-Zhong Yang.
(2006)

1303 Citations

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

Jonathan R. Panting;Peter D. Gatehouse;Guang-Zhong Yang;Frank Grothues.
The New England Journal of Medicine (2002)

1018 Citations

Deep Learning for Health Informatics.

Daniele Ravi;Charence Wong;Fani Deligianni;Melissa Berthelot.
biomedical and health informatics (2017)

897 Citations

Asymmetric redirection of flow through the heart

Philip J. Kilner;Guang-Zhong Yang;A. John Wilkes;Raad H. Mohiaddin.
Nature (2000)

885 Citations

Unobtrusive Sensing and Wearable Devices for Health Informatics

Ya-Li Zheng;Xiao-Rong Ding;Carmen Chung Yan Poon;Benny Ping Lai Lo.
IEEE Transactions on Biomedical Engineering (2014)

673 Citations

Big Data for Health

Javier Andreu-Perez;Carmen C. Y. Poon;Robert D. Merrifield;Stephen T. C. Wong.
IEEE Journal of Biomedical and Health Informatics (2015)

542 Citations

Technologies for global health

Peter Howitt;Ara Darzi;Guang-Zhong Yang;Hutan Ashrafian.
The Lancet (2012)

370 Citations

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.
NeuroImage (2011)

354 Citations

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

Guang-Zhong Yang;David Hawkes;Daniel Rueckert;Alison Noble.
medical image computing and computer assisted intervention (2009)

336 Citations

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

Daniel Richard Leff;Oliver J. Warren;Louise C. Enfield;Adam Gibson.
Breast Cancer Research and Treatment (2008)

335 Citations

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