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

D-Index & Metrics

Computer Science

D-Index
111
Citations
38920
World Ranking
218
National Ranking
8

Research.com Recognitions

  • 2026 - Research.com Computer Science in United Kingdom Leader Award
  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award
  • 2016 - ACM Senior Member

Overview

Yudong Zhang is affiliated with the University of Leicester in the United Kingdom and has contributed extensively to research intersecting computer science and medicine. Their work predominantly focuses on applications of artificial intelligence, machine learning, and medical imaging in healthcare diagnostics and treatment.

The scientist's primary fields of study include Computer Science and Medicine, with particular emphasis on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Neurology, and Electrical and Electronic Engineering.

Key research topics addressed in their publications comprise:

  • COVID-19 diagnosis using AI
  • AI in cancer detection
  • Brain Tumor Detection and Classification
  • Radiomics and Machine Learning in Medical Imaging
  • Advanced Neural Network Applications
  • Anomaly Detection Techniques and Applications
  • Medical Image Segmentation Techniques

Recent significant papers authored by or involving Yudong Zhang include:

  • "A Review of Deep-Learning-Based Medical Image Segmentation Methods" (2021), published in Sustainability
  • "A review on extreme learning machine" (2021), published in Multimedia Tools and Applications
  • "Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation" (2020), published in Information Fusion
  • "Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network" (2020), published in Information Fusion
  • "Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network" (2020), published in Information Processing & Management

Frequent co-authors collaborating with Yudong Zhang include:

  • Shuihua Wang
  • J. M. Górriz
  • Junding Sun
  • Shuaiqi Liu

The scientist has published multiple books with various publishers. Notable publishing houses include Springer Nature, Springer International Publishing, Springer's Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Springer Science+Business Media, and Frontiers Media. Examples of published works are:

  • "Smart Trends in Computing and Communications: Proceedings of SmartCom 2020" (2020) by Springer Nature
  • "Evolution in Computational Intelligence" (2020) by Springer Nature
  • "Intelligent Data Engineering and Analytics" (2020) by Springer Nature
  • "Medical Imaging and Computer-Aided Diagnosis" (2023) by Springer Science+Business Media
  • "Artificial Intelligence in Data and Big Data Processing" (2022) by Springer International Publishing
  • "Extracting Insights from Digital Public Health Data using Artificial Intelligence" (2022) by Frontiers Media

Yudong Zhang has contributed to venues frequently publishing their work, including arXiv (Cornell University), Biomedical Signal Processing and Control, Computer Modeling in Engineering & Sciences, Multimedia Tools and Applications, and Knowledge-Based Systems.

In recognition of their professional standing, Yudong Zhang received the ACM Senior Member award in 2016.

Best Publications

  • A Comprehensive Survey on Particle Swarm Optimization Algorithm and Its Applications

    Yudong Zhang;Shuihua Wang;Shuihua Wang;Genlin Ji

  • A Review of Deep-Learning-Based Medical Image Segmentation Methods

    Xiangbin Liu;Liping Song;Shuai Liu;Yudong Zhang

  • Stock market prediction of S&P 500 via combination of improved BCO approach and BP neural network

    Yudong Zhang;Lenan Wu

  • Binary PSO with mutation operator for feature selection using decision tree applied to spam detection

    Yudong Zhang;Shuihua Wang;Preetha Phillips;Genlin Ji

  • A review on extreme learning machine

    Jian Wang;Siyuan Lu;Shui-Hua Wang;Yu-Dong Zhang;Yu-Dong Zhang

  • A hybrid method for MRI brain image classification

    Yudong Zhang;Zhengchao Dong;Lenan Wu;Shuihua Wang

  • Advances in Multimodal Data Fusion in Neuroimaging: Overview, Challenges, and Novel Orientation

    Yu-Dong Zhang;Yu-Dong Zhang;Zhengchao Dong;Shui-Hua Wang;Shui-Hua Wang;Shui-Hua Wang;Xiang Yu

  • Deep-learning framework to detect lung abnormality - A study with chest X-Ray and lung CT scan images

    Abhir Bhandary;G. Ananth Prabhu;V. Rajinikanth;K. Palani Thanaraj

  • Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation

    Yu-Dong Zhang;Zhengchao Dong;Xianqing Chen;Wenjuan Jia

  • Pathological brain detection based on AlexNet and transfer learning

    Siyuan Lu;Zhihai Lu;Yu-Dong Zhang

  • Classification of Fruits Using Computer Vision and a Multiclass Support Vector Machine

    Yudong Zhang;Lenan Wu

  • Fruit classification using computer vision and feedforward neural network

    Yudong Zhang;Shuihua Wang;Genlin Ji;Preetha Phillips

  • An Mr Brain Images Classifier via Principal Component Analysis and Kernel Support Vector Machine

    Yu-Dong Zhang;Lenan Wu

  • Detection of subjects and brain regions related to Alzheimer's disease using 3D MRI scans based on eigenbrain and machine learning.

    Yudong Zhang;Zhengchao Dong;Preetha Phillips;Shuihua Wang;Shuihua Wang

  • Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network

    Yu-Dong Zhang;Yu-Dong Zhang;Suresh Chandra Satapathy;David S. Guttery;Juan Manuel Górriz

  • Covid-19 Classification by FGCNet with Deep Feature Fusion from Graph Convolutional Network and Convolutional Neural Network.

    Shui Hua Wang;Shui Hua Wang;Shui Hua Wang;Vishnu Varthanan Govindaraj;Juan Manuel Górriz;Juan Manuel Górriz;Xin Zhang

  • Facial Emotion Recognition Based on Biorthogonal Wavelet Entropy, Fuzzy Support Vector Machine, and Stratified Cross Validation

    Yu-Dong Zhang;Zhang-Jing Yang;Hui-Min Lu;Xing-Xing Zhou

  • Optimal Multi-Level Thresholding Based on Maximum Tsallis Entropy via an Artificial Bee Colony Approach

    Yudong Zhang;Lenan Wu

  • Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications

    Juan M. Górriz;Juan M. Górriz;Javier Ramírez;Andrés Ortíz;Francisco J. Martínez-Murcia

  • Preclinical Diagnosis of Magnetic Resonance (MR) Brain Images via Discrete Wavelet Packet Transform with Tsallis Entropy and Generalized Eigenvalue Proximal Support Vector Machine (GEPSVM)

    Yudong Zhang;Zhengchao Dong;Shuihua Wang;Genlin Ji

  • Introduction of key problems in long-distance learning and training

    Shuai Liu;Zhaojun Li;Yudong Zhang;Xiaochun Cheng

  • AN MR BRAIN IMAGES CLASSIFIER VIA PRINCIPAL COMPONENT ANALYSIS AND KERNEL SUPPORT

    Y. Zhang;L. Wu

Frequent Co-Authors

Shuihua Wang
Shuihua Wang Xi’an Jiaotong-Liverpool University
Lenan Wu
Lenan Wu Southeast University
Huimin Lu
Huimin Lu Kyushu Institute of Technology
Ti-Fei Yuan
Ti-Fei Yuan Shanghai Jiao Tong University
Yin Zhang
Yin Zhang University of Electronic Science and Technology of China
Juan Manuel Górriz
Juan Manuel Górriz University of Granada
Yuankai Huo
Yuankai Huo Vanderbilt University
Khan Muhammad
Khan Muhammad Sungkyunkwan University
Javier Ramírez
Javier Ramírez University of Granada
Carlo Cattani
Carlo Cattani Tuscia University

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