World's Best Scientists 2026 revealed!
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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
88
Citations
24667
World Ranking
694
National Ranking
103

Research.com Recognitions

  • 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

Overview

Shuihua Wang is affiliated with Xi'an Jiaotong-Liverpool University in China and has contributed extensively to research in computer science and medicine. Their body of work encompasses a wide range of topics including artificial intelligence applications in medical imaging and diagnosis.

Their recent publications include:

  • A review on extreme learning machine, 2021, Multimedia Tools and Applications
  • Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation, 2020, Information Fusion
  • Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network, 2020, Information Fusion
  • Improved Breast Cancer Classification Through Combining Graph Convolutional Network and Convolutional Neural Network, 2020, Information Processing & Management
  • Deep learning in food category recognition, 2023, Information Fusion

Frequent coauthors working alongside Shuihua Wang include:

  • Yudong Zhang
  • J. M. Górriz
  • Junding Sun
  • Siyuan Lu
  • Chaosheng Tang

Shuihua Wang's research has been published frequently in the following venues:

  • arXiv (Cornell University)
  • Computers, materials & continua/Computers, materials & continua (Print)
  • Information Fusion
  • Neurocomputing
  • CAAI Transactions on Intelligence Technology

The scientist has also contributed to book publications through the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, with titles such as Multimedia Technology and Enhanced Learning released in 2020 and 2021.

Their main fields of study focus on:

  • Computer Science
  • Medicine

Within these broad areas, Shuihua Wang's subfields of study include:

  • Radiology, Nuclear Medicine and Imaging
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Neurology
  • Biomedical Engineering

The primary topics covered across their research encompass:

  • 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
  • Digital Imaging for Blood Diseases

Best Publications

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

    Yudong Zhang;Shuihua Wang;Shuihua Wang;Genlin Ji

  • 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

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

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

  • Classification of Alzheimer’s Disease Based on Eight-Layer Convolutional Neural Network with Leaky Rectified Linear Unit and Max Pooling

    Shui-Hua Wang;Preetha Phillips;Yuxiu Sui;Bin Liu

  • Fruit classification using computer vision and feedforward neural network

    Yudong Zhang;Shuihua Wang;Genlin Ji;Preetha Phillips

  • 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

  • MAGNETIC RESONANCE BRAIN IMAGE CLASSIFICATION BY AN IMPROVED ARTIFICIAL BEE COLONY ALGORITHM

    Yudong Zhang;Lenan Wu;Shuihua Wang

  • 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

  • A Review of Deep Learning on Medical Image Analysis

    Jian Wang;Hengde Zhu;Shui-Hua Wang;Shui-Hua Wang;Yu-Dong Zhang;Yu-Dong Zhang

  • Classification of Alzheimer Disease Based on Structural Magnetic Resonance Imaging by Kernel Support Vector Machine Decision Tree

    Yudong Zhang;Shuihua Wang;Zhengchao Dong

  • A review of IoT applications in healthcare

    Unknown

  • DenseNet-201-Based Deep Neural Network with Composite Learning Factor and Precomputation for Multiple Sclerosis Classification

    Shui-Hua Wang;Yu-Dong Zhang

  • Comparison of machine learning methods for stationary wavelet entropy-based multiple sclerosis detection

    Yudong Zhang;Siyuan Lu;Xingxing Zhou;Ming Yang

  • COVID-19 classification by CCSHNet with deep fusion using transfer learning and discriminant correlation analysis

    Shui-Hua Wang;Shui-Hua Wang;Shui-Hua Wang;Deepak Ranjan Nayak;David S. Guttery;Xin Zhang

  • Intelligent facial emotion recognition based on stationary wavelet entropy and Jaya algorithm

    Shui-Hua Wang;Preetha Phillips;Zheng-Chao Dong;Yu-Dong Zhang

  • Detection of abnormal brain in MRI via improved AlexNet and ELM optimized by chaotic bat algorithm

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

  • Feed-forward neural network optimized by hybridization of PSO and ABC for abnormal brain detection

    Shuihua Wang;Yudong Zhang;Zhengchao Dong;Sidan Du

  • Automated classification of brain images using wavelet-energy and biogeography-based optimization

    Gelan Yang;Yudong Zhang;Jiquan Yang;Genlin Ji

Frequent Co-Authors

Yudong Zhang
Yudong Zhang University of Leicester
Lenan Wu
Lenan Wu Southeast University
Yin Zhang
Yin Zhang University of Electronic Science and Technology of China
Ti-Fei Yuan
Ti-Fei Yuan Shanghai Jiao Tong University
Huimin Lu
Huimin Lu Kyushu Institute of Technology
Khan Muhammad
Khan Muhammad Sungkyunkwan University
Juan Manuel Górriz
Juan Manuel Górriz University of Granada
Yuankai Huo
Yuankai Huo Vanderbilt University
Javier Ramírez
Javier Ramírez University of Granada
Yingli Tian
Yingli Tian City University of New York

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