Hang Wei
Orcid: 0000-0002-0579-1716Affiliations:
- Xidian University, Xi'an, China
- Harbin Institute of Technology, School of Computer Science and Technology, Shenzhen, China (former)
  According to our database1,
  Hang Wei
  authored at least 13 papers
  between 2020 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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    on scopus.com
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Bibliography
  2025
A Systemic Pipeline of Identifying lncRNA-Disease Associations to the Prognosis and Treatment of Hepatocellular Carcinoma.
    
  
    IEEE Trans. Big Data, April, 2025
    
  
  2024
Multiple types of disease-associated RNAs identification for disease prognosis and therapy using heterogeneous graph learning.
    
  
    Sci. China Inf. Sci., 2024
    
  
IDP-EDL: enhancing intrinsically disordered protein prediction by combining protein language model and ensemble deep learning.
    
  
    Briefings Bioinform., 2024
    
  
  2023
iPiDA-SWGCN: Identification of piRNA-disease associations based on Supplementarily Weighted Graph Convolutional Network.
    
  
    PLoS Comput. Biol., 2023
    
  
  2022
iPiDA-GCN: Identification of piRNA-disease associations based on Graph Convolutional Network.
    
  
    PLoS Comput. Biol., October, 2022
    
  
    Briefings Bioinform., 2022
    
  
iCircDA-ENR: identification of circRNA-disease associations based on ensemble network representation.
    
  
    Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022
    
  
  2021
iLncRNAdis-FB: Identify lncRNA-Disease Associations by Fusing Biological Feature Blocks Through Deep Neural Network.
    
  
    IEEE ACM Trans. Comput. Biol. Bioinform., 2021
    
  
iCircDA-LTR: identification of circRNA-disease associations based on Learning to Rank.
    
  
    Bioinform., 2021
    
  
SMI-BLAST: a novel supervised search framework based on PSI-BLAST for protein remote homology detection.
    
  
    Bioinform., 2021
    
  
iPiDi-PUL: identifying Piwi-interacting RNA-disease associations based on positive unlabeled learning.
    
  
    Briefings Bioinform., 2021
    
  
  2020
iPiDA-sHN: Identification of Piwi-interacting RNA-disease associations by selecting high quality negative samples.
    
  
    Comput. Biol. Chem., 2020
    
  
iCircDA-MF: identification of circRNA-disease associations based on matrix factorization.
    
  
    Briefings Bioinform., 2020