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Computer Science

D-Index
77
Citations
25344
World Ranking
1261
National Ranking
170

Overview

Jianxin Wang is affiliated with Central South University in China. Their research encompasses a broad range of topics within computer science and biochemistry, genetics, and molecular biology.

The main fields of study covered in their work include:

  • Computer Science
  • Biochemistry, Genetics and Molecular Biology

The scientist also works extensively in several subfields:

  • Molecular Biology
  • Computer Networks and Communications
  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Electrical and Electronic Engineering

The topics addressed in their research span across various areas:

  • Computational Drug Discovery Methods
  • Bioinformatics and Genomic Networks
  • Machine Learning in Bioinformatics
  • Genomics and Phylogenetic Studies
  • Cancer-related molecular mechanisms research
  • Software-Defined Networks and 5G
  • Cloud Computing and Resource Management

Jianxin Wang has contributed to a number of scientific journals and conference proceedings. Their frequent publication venues include:

  • Bioinformatics
  • IEEE/ACM Transactions on Computational Biology and Bioinformatics
  • arXiv (Cornell University)
  • Briefings in Bioinformatics
  • bioRxiv (Cold Spring Harbor Laboratory)

Among the recent papers associated with or related to their field of work are:

  • Supramolecular materials based on AIE luminogens (AIEgens): construction and applications, 2020, Chemical Society Reviews
  • Efficient assembly of nanopore reads via highly accurate and intact error correction, 2021, Nature Communications
  • A survey on U-shaped networks in medical image segmentations, 2020, Neurocomputing
  • The evolution of the Internet of Things (IoT) over the past 20 years, 2021, Computers & Industrial Engineering
  • Semi-automated assembly of high-quality diploid human reference genomes, 2022, Nature

The scientist frequently collaborates with the following coauthors:

  • Jiawei Huang
  • Fang-Xiang Wu
  • Yaohang Li
  • Qichang Zhao
  • Hulin Kuang

Best Publications

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

    Yu Tang;Min Li;Jianxin Wang;Yi Pan

  • Automatic Image-Based Plant Disease Severity Estimation Using Deep Learning.

    Guan Wang;Yu Sun;Jianxin Wang

  • A survey of MRI-based brain tumor segmentation methods

    Jin Liu;Min Li;Jianxin Wang;Fangxiang Wu

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

    Huimin Luo;Jianxin Wang;Min Li;Junwei Luo

  • Efficient assembly of nanopore reads via highly accurate and intact error correction.

    Ying Chen;Fan Nie;Shang-Qian Xie;Ying-Feng Zheng

  • Identification of Essential Proteins Based on Edge Clustering Coefficient

    Jianxin Wang;Min Li;Huan Wang;Yi Pan

  • Applications of Deep Learning to MRI Images: A Survey

    Jin Liu;Yi Pan;Min Li;Ziyue Chen

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

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

  • Modifying the DPClus algorithm for identifying protein complexes based on new topological structures.

    Min Li;Jian-er Chen;Jian-er Chen;Jian-xin Wang;Bin Hu

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

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

  • A new essential protein discovery method based on the integration of protein-protein interaction and gene expression data

    Min Li;Min Li;Hanhui Zhang;Jian-xin Wang;Yi Pan;Yi Pan

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

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

  • Computational drug repositioning using low-rank matrix approximation and randomized algorithms.

    Huimin Luo;Min Li;Shaokai Wang;Quan Liu

  • DeepSignal: detecting DNA methylation state from Nanopore sequencing reads using deep-learning

    Peng Ni;Neng Huang;Zhi Zhang;De-Peng Wang

  • The evolution of the Internet of Things (IoT) over the past 20 years

    Jianxin Wang;Ming K. Lim;Ming K. Lim;Chao Wang;Ming-Lang Tseng;Ming-Lang Tseng

  • A Fast Hierarchical Clustering Algorithm for Functional Modules Discovery in Protein Interaction Networks

    Jianxin Wang;Min Li;Jianer Chen;Yi Pan

  • Classification of autism spectrum disorder by combining brain connectivity and deep neural network classifier

    Yazhou Kong;Jianliang Gao;Yunpei Xu;Yi Pan;Yi Pan

  • Minimizing Movement for Target Coverage and Network Connectivity in Mobile Sensor Networks

    Zhuofan Liao;Jianxin Wang;Shigeng Zhang;Jiannong Cao

  • Predicting essential proteins based on weighted degree centrality

    Xiwei Tang;Jianxin Wang;Jiancheng Zhong;Yi Pan

  • HyperAttentionDTI: improving drug-protein interaction prediction by sequence-based deep learning with attention mechanism.

    Qichang Zhao;Haochen Zhao;Kai Zheng;Jianxin Wang

  • A local average connectivity-based method for identifying essential proteins from the network level

    Min Li;Jianxin Wang;Xiang Chen;Huan Wang

  • 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

Frequent Co-Authors

Min Li
Min Li Central South University
Fang-Xiang Wu
Fang-Xiang Wu University of Saskatchewan
Jianer Chen
Jianer Chen Texas A&M University
Yaohang Li
Yaohang Li Old Dominion University
Rongling Wu
Rongling Wu Pennsylvania State University
Jiannong Cao
Jiannong Cao Hong Kong Polytechnic University
Jiong Guo
Jiong Guo Shandong University
Geyong Min
Geyong Min University of Exeter
Xi Zhang
Xi Zhang Texas A&M University
Tian He
Tian He University of Minnesota

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