World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
69
Citations
17102
World Ranking
1987
National Ranking
272

Overview

Zhu-Hong You is affiliated with the Chinese Academy of Sciences in China. Their research spans multiple areas within biochemistry, genetics, molecular biology, and computer science, focusing predominantly on molecular biology and computational methods in biomedicine.

The primary fields of study for Zhu-Hong You include:

  • Biochemistry, Genetics and Molecular Biology
  • Computer Science

Their work dives deeper into specific subfields such as:

  • Molecular Biology
  • Cancer Research
  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Materials Chemistry

Research topics Zhu-Hong You has frequently contributed to include:

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

Some of the recent papers by Zhu-Hong You are:

  • Graph representation learning in bioinformatics: trends, methods and applications, 2021, Briefings in Bioinformatics
  • A survey on computational models for predicting protein-protein interactions, 2021, Briefings in Bioinformatics
  • HINGRL: predicting drug-disease associations with graph representation learning on heterogeneous information networks, 2021, Briefings in Bioinformatics
  • A deep learning-based method for drug-target interaction prediction based on long short-term memory neural network, 2020, BMC Medical Informatics and Decision Making
  • GCNCDA: A new method for predicting circRNA-disease associations based on Graph Convolutional Network Algorithm, 2020, PLoS Computational Biology

Zhu-Hong You has collaborated extensively with several frequent co-authors including:

  • Lei Wang
  • Yu-An Huang
  • Lun Hu
  • Bo-Wei Zhao
  • Leon Wong

Their publications appear mostly in well-recognized venues such as:

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

Best Publications

  • MicroRNAs and complex diseases: from experimental results to computational models.

    Xing Chen;Di Xie;Qi Zhao;Zhu-Hong You

  • Long non-coding RNAs and complex diseases: from experimental results to computational models

    Xing Chen;Chenggang Clarence Yan;Xu Zhang;Zhu-Hong You

  • PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction.

    Zhu-Hong You;Zhi-An Huang;Zexuan Zhu;Gui-Ying Yan

  • WBSMDA: Within and Between Score for MiRNA-Disease Association prediction.

    Xing Chen;Chenggang Clarence Yan;Xu Zhang;Zhu Hong You

  • Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis

    Zhu-Hong You;Ying-Ke Lei;Lin Zhu;Junfeng Xia

  • A Nonnegative Latent Factor Model for Large-Scale Sparse Matrices in Recommender Systems via Alternating Direction Method

    Xin Luo;MengChu Zhou;Shuai Li;Zhuhong You

  • Leaf image based cucumber disease recognition using sparse representation classification

    Shanwen Zhang;Xiaowei Wu;Zhuhong You;Liqing Zhang

  • BNPMDA: Bipartite Network Projection for MiRNA-Disease Association prediction.

    Xing Chen;Di Xie;Lei Wang;Qi Zhao

  • A novel approach based on KATZ measure to predict associations of human microbiota with non-infectious diseases

    Xing Chen;Yu-An Huang;Zhu-Hong You;Gui-Ying Yan

  • Using manifold embedding for assessing and predicting protein interactions from high-throughput experimental data

    Zhu-Hong You;Ying-Ke Lei;Jie Gui;De-Shuang Huang

  • Incorporation of Efficient Second-Order Solvers Into Latent Factor Models for Accurate Prediction of Missing QoS Data

    Xin Luo;MengChu Zhou;Shuai Li;YunNi Xia

  • HGIMDA: Heterogeneous graph inference for miRNA-disease association prediction

    Xing Chen;Chenggang Clarence Yan;Xu Zhang;Zhu-Hong You

  • Plant diseased leaf segmentation and recognition by fusion of superpixel, K-means and PHOG

    Shanwen Zhang;Haoxiang Wang;Haoxiang Wang;Wenzhun Huang;Zhuhong You

  • DroidDet: Effective and robust detection of android malware using static analysis along with rotation forest model

    Hui-Juan Zhu;Zhu-Hong You;Ze-Xuan Zhu;Wei-Lei Shi

  • ACP-DL: A Deep Learning Long Short-Term Memory Model to Predict Anticancer Peptides Using High-Efficiency Feature Representation.

    Hai-Cheng Yi;Zhu-Hong You;Xi Zhou;Li Cheng

  • Graph representation learning in bioinformatics: trends, methods and applications.

    Hai-Cheng Yi;Zhu-Hong You;De-Shuang Huang;Chee Keong Kwoh

  • IRWRLDA: improved random walk with restart for lncRNA-disease association prediction.

    Xing Chen;Zhu-Hong You;Gui-Ying Yan;Dun-Wei Gong

  • MCMDA: Matrix completion for MiRNA-disease association prediction

    Jian-Qiang Li;Zhi-Hao Rong;Xing Chen;Gui-Ying Yan

  • A Computational-Based Method for Predicting Drug-Target Interactions by Using Stacked Autoencoder Deep Neural Network.

    Lei Wang;Zhu-Hong You;Xing Chen;Shi-Xiong Xia

  • HINGRL: predicting drug-disease associations with graph representation learning on heterogeneous information networks

    Unknown

  • Prediction of protein-protein interactions from amino acid sequences using a novel multi-scale continuous and discontinuous feature set

    Zhu-Hong You;Lin Zhu;Chun-Hou Zheng;Hong-Jie Yu

  • Predicting protein-protein interactions from primary protein sequences using a novel multi-scale local feature representation scheme and the random forest.

    Zhu-Hong You;Keith C. C. Chan;Pengwei Hu

Frequent Co-Authors

Xing Chen
Xing Chen Jiangnan University
De-Shuang Huang
De-Shuang Huang Tongji University
Shuai Li
Shuai Li University of Oulu
Keith C. C. Chan
Keith C. C. Chan Hong Kong Polytechnic University
Jianqiang Li
Jianqiang Li Beijing University of Technology
Xin Luo
Xin Luo Chinese Academy of Sciences
Zexuan Zhu
Zexuan Zhu Shenzhen University
MengChu Zhou
MengChu Zhou New Jersey Institute of Technology
Qingsheng Zhu
Qingsheng Zhu Chongqing University
Qiuzhen Lin
Qiuzhen Lin Shenzhen University

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