World's Best Scientists 2026 revealed!
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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
144
Citations
92420
World Ranking
47
National Ranking
6

Research.com Recognitions

  • 2026 - Research.com Computer Science 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
  • 2006 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to biometrics technologies and systems.

Overview

David Zhang is affiliated with the Chinese University of Hong Kong, Shenzhen in China. Their research spans primarily across the fields of Computer Science and Medicine, with a substantial focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology, Signal Processing, and Media Technology.

Their research topics cover a range of subjects, including:

  • Advanced Image Processing Techniques
  • Biometric Identification and Security
  • Face recognition and analysis
  • Image and Signal Denoising Methods
  • Advanced Image and Video Retrieval Techniques
  • Face and Expression Recognition
  • Video Surveillance and Tracking Methods

David Zhang has contributed to numerous publications in well-known venues. The most frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Neural Networks and Learning Systems
  • SSRN Electronic Journal

Recent notable papers by the scientist include:

  • "Mavacamten for treatment of symptomatic obstructive hypertrophic cardiomyopathy (EXPLORER-HCM): a randomised, double-blind, placebo-controlled, phase 3 trial" (2020) published in The Lancet
  • "DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation" (2022) published in IEEE Transactions on Instrumentation and Measurement
  • "Multi-stage image denoising with the wavelet transform" (2022) published in Pattern Recognition
  • "The Johns Hopkins University Center for Systems Science and Engineering COVID-19 Dashboard: data collection process, challenges faced, and lessons learned" (2022) published in The Lancet Infectious Diseases
  • "recount3: summaries and queries for large-scale RNA-seq expression and splicing" (2021) published in Genome Biology

Collaborations feature several frequent co-authors who have worked extensively with David Zhang. These colleagues include Guangming Lu, Jinxing Li, Bob Zhang, Yong Xu, and Wangmeng Zuo.

David Zhang has also published books with notable publishers. These include two books with World Scientific slated for 2025: "Advanced Randomized Neural Networks for Pattern Analysis" and "Advanced Medical Biometrics." Additionally, a 2022 publication titled "Contractor Risk and Performance Indicators: Prototype Functional Specification and Developer Document" was released under RAND Corporation eBooks.

Among professional recognitions, the scientist was named a Fellow of the International Association for Pattern Recognition (IAPR) in 2006 for contributions to biometrics technologies and systems.

Best Publications

  • FSIM: A Feature Similarity Index for Image Quality Assessment

    Lin Zhang;Lei Zhang;Xuanqin Mou;D. Zhang

  • Two-dimensional PCA: a new approach to appearance-based face representation and recognition

    Jian Yang;D. Zhang;A.F. Frangi;Jing-yu Yang

  • A Completed Modeling of Local Binary Pattern Operator for Texture Classification

    Zhenhua Guo;Lei Zhang;David Zhang

  • Online palmprint identification

    D. Zhang;Wai-Kin Kong;J. You;M. Wong

  • Progressive switching median filter for the removal of impulse noise from highly corrupted images

    Zhou Wang;D. Zhang

  • 2023 focused update of the 2021 ESC guidelines for the diagnosis and treatment of acute and chronic heart failure: developed by the task force for the diagnosis and treatment�…

    Unknown

  • The Resonant Retina: Exploiting Vibration Noise to Optimally Detect Edges in an Image

    David Zhang;Wai-Kin Kong;Jane You;Michael Wong

  • A Survey of Sparse Representation: Algorithms and Applications

    Zheng Zhang;Yong Xu;Jian Yang;Xuelong Li

  • Fisher Discrimination Dictionary Learning for sparse representation

    Meng Yang;Lei Zhang;Xiangchu Feng;David Zhang

  • Mavacamten for treatment of symptomatic obstructive hypertrophic cardiomyopathy (EXPLORER-HCM): a randomised, double-blind, placebo-controlled, phase 3 trial

    Iacopo Olivotto;Artur Oreziak;Roberto Barriales-Villa;Theodore P. Abraham

  • KPCA plus LDA: a complete kernel Fisher discriminant framework for feature extraction and recognition

    Jian Yang;A.F. Frangi;Jing-Yu Yang;David Zhang

  • Rotation invariant texture classification using LBP variance (LBPV) with global matching

    Zhenhua Guo;Lei Zhang;David Zhang

  • Two-stage image denoising by principal component analysis with local pixel grouping

    Lei Zhang;Weisheng Dong;David Zhang;Guangming Shi

  • Fast Visual Tracking via Dense Spatio-temporal Context Learning

    Kaihua Zhang;Lei Zhang;Qingshan Liu;Dapeng Zhang

  • DS-TransUNet: Dual Swin Transformer U-Net for Medical Image Segmentation

    Unknown

  • Palmprint recognition using eigenpalms features

    Guangming Lu;David Zhang;Kuanquan Wang

  • Robust sparse coding for face recognition

    Meng Yang;Lei Zhang;Jian Yang;David Zhang

  • Automated biometrics: technnologies and systems

    Unknown

  • Competitive coding scheme for palmprint verification

    A.W.-K. Kong;D. Zhang

  • A survey of palmprint recognition

    Adams Kong;David Zhang;Mohamed Kamel

  • Automated Biometrics: Technologies and Systems

    David D. Zhang

  • Feature selection and analysis on correlated gas sensor data with recursive feature elimination

    Unknown

  • Globally Maximizing, Locally Minimizing: Unsupervised Discriminant Projection with Applications to Face and Palm Biometrics

    Jian Yang;D. Zhang;Jing-yu Yang;B. Niu

  • Interactive image segmentation by maximal similarity based region merging

    Jifeng Ning;Lei Zhang;David Zhang;Chengke Wu

Frequent Co-Authors

Lei Zhang
Lei Zhang Hong Kong Polytechnic University
Wangmeng Zuo
Wangmeng Zuo Harbin Institute of Technology
Yong Xu
Yong Xu Harbin Institute of Technology
Kuanquan Wang
Kuanquan Wang Harbin Institute of Technology
Jingyu Yang
Jingyu Yang Nanjing University of Science and Technology
Bob Zhang
Bob Zhang University of Macau
Jane You
Jane You Hong Kong Polytechnic University
Xiao-Yuan Jing
Xiao-Yuan Jing Wuhan University
Xiangqian Wu
Xiangqian Wu Harbin Institute of Technology
Ajay Kumar
Ajay Kumar Hong Kong Polytechnic University

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