World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
71
Citations
16895
World Ranking
1800
National Ranking
65

Overview

Fang-Xiang Wu is affiliated with the University of Saskatchewan in Canada. Their research primarily focuses on Biochemistry, Genetics and Molecular Biology, with 275 publications contributing to this field. Within this broad domain, Wu's work spans several subfields, including Molecular Biology, Cancer Research, Artificial Intelligence, Computational Theory and Mathematics, and Cognitive Neuroscience.

The scientist's research topics encompass:

  • Bioinformatics and Genomic Networks
  • Cancer-related molecular mechanisms research
  • Computational Drug Discovery Methods
  • Gene expression and cancer classification
  • MicroRNA in disease regulation
  • Machine Learning in Bioinformatics
  • Circular RNAs in diseases

Wu has published extensively in several notable venues. The most frequent publication sources include:

  • Briefings in Bioinformatics
  • IEEE/ACM Transactions on Computational Biology and Bioinformatics
  • IEEE Journal of Biomedical and Health Informatics
  • Neurocomputing
  • Bioinformatics

Recent publications by Fang-Xiang Wu include:

  • A survey on U-shaped networks in medical image segmentations (2020, Neurocomputing)
  • Biomedical data and computational models for drug repositioning: a comprehensive review (2020, Briefings in Bioinformatics)
  • Diagnosis of Autism Spectrum Disorder Based on Functional Brain Networks with Deep Learning (2020, Journal of Computational Biology)
  • Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF (2022, Artificial Intelligence in Medicine)
  • Attention convolutional neural network for accurate segmentation and quantification of lesions in ischemic stroke disease (2020, Medical Image Analysis)

Collaborations have played a significant role in Wu's research output. Frequent coauthors include Jianxin Wang, Min Li, Xiujuan Lei, Bo Liao, and Yulian Ding, with collaboration counts ranging from 17 to 37 joint works.

Best Publications

  • CytoNCA: a cytoscape plugin for centrality analysis and evaluation of protein interaction networks.

    Yu Tang;Min Li;Jianxin Wang;Yi Pan

  • A survey of MRI-based brain tumor segmentation methods

    Jin Liu;Min Li;Jianxin Wang;Fangxiang Wu

  • A review on machine learning principles for multi-view biological data integration.

    Yifeng Li;Fang-Xiang Wu;Alioune Ngom

  • Drug repositioning based on comprehensive similarity measures and Bi-Random walk algorithm

    Huimin Luo;Jianxin Wang;Min Li;Junwei Luo

  • A survey on U-shaped networks in medical image segmentations

    Liangliang Liu;Liangliang Liu;Jianhong Cheng;Quan Quan;Fang-Xiang Wu

  • Protein–protein interaction site prediction through combining local and global features with deep neural networks

    Min Zeng;Fuhao Zhang;Fang-Xiang Wu;Yaohang Li

  • Prediction of lncRNA-disease associations based on inductive matrix completion.

    Chengqian Lu;Mengyun Yang;Feng Luo;Fang-Xiang Wu

  • CircR2Disease: a manually curated database for experimentally supported circular RNAs associated with various diseases.

    Chunyan Fan;Xiujuan Lei;Zengqiang Fang;Qinghua Jiang

  • Recurrent Neural Network for Non-Smooth Convex Optimization Problems With Application to the Identification of Genetic Regulatory Networks

    Long Cheng;Zeng-Guang Hou;Yingzi Lin;Min Tan

  • Classification of Alzheimer's Disease Using Whole Brain Hierarchical Network

    Jin Liu;Min Li;Wei Lan;Fang-Xiang Wu

  • LDAP: a web server for lncRNA-disease association prediction

    Wei Lan;Min Li;Kaijie Zhao;Jin Liu

  • Identifying protein complexes and functional modules—from static PPI networks to dynamic PPI networks

    Bolin Chen;Weiwei Fan;Juan Liu;Fang-Xiang Wu

  • Biomedical data and computational models for drug repositioning: a comprehensive review.

    Huimin Luo;Min Li;Mengyun Yang;Fang-Xiang Wu

  • Iteration method for predicting essential proteins based on orthology and protein-protein interaction networks.

    Wei Hao Peng;Wei Hao Peng;Jianxin Wang;Weiping Wang;Qing Liu

  • ClusterViz: a cytoscape APP for cluster analysis of biological network

    Jianxin Wang;Jiancheng Zhong;Gang Chen;Min Li

  • Complex Brain Network Analysis and Its Applications to Brain Disorders: A Survey

    Jin Liu;Min Li;Yi Pan;Wei Lan

  • Protein–protein interactions: detection, reliability assessment and applications

    Xiaoqing Peng;Jianxin Wang;Wei Peng;Fang-Xiang Wu

  • Chinese clinical named entity recognition via multi-head self-attention based BiLSTM-CRF

    Unknown

  • Automated ICD-9 Coding via A Deep Learning Approach

    Min Li;Zhihui Fei;Min Zeng;Fang-Xiang Wu

  • SinNLRR: a robust subspace clustering method for cell type detection by non-negative and low-rank representation

    Ruiqing Zheng;Min Li;Zhenlan Liang;Fang-Xiang Wu;Fang-Xiang Wu

  • Prediction of CircRNA-Disease Associations Using KATZ Model Based on Heterogeneous Networks.

    Chunyan Fan;Xiujuan Lei;Fang-Xiang Wu

  • Modeling gene expression from microarray expression data with state-space equations.

    Fang-Xiang Wu;Wen-Jun Zhang;Anthony J. Kusalik

  • Predicting MicroRNA-Disease Associations Based on Improved MicroRNA and Disease Similarities

    Wei Lan;Jianxin Wang;Min Li;Jin Liu

Frequent Co-Authors

Jianxin Wang
Jianxin Wang Central South University
Min Li
Min Li Central South University
Wenjun Zhang
Wenjun Zhang City University of Hong Kong
Yaohang Li
Yaohang Li Old Dominion University
Guy G. Poirier
Guy G. Poirier Université Laval
Luonan Chen
Luonan Chen Chinese Academy of Sciences
Xiaohua Hu
Xiaohua Hu Drexel University
Aidong Zhang
Aidong Zhang University of Virginia
Min Tan
Min Tan Chinese Academy of Sciences
Long Cheng
Long Cheng Chinese Academy of Sciences

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