Dong-Jun Yu

About Dong-Jun Yu

Dong-Jun Yu, With an exceptional h-index of 37 and a recent h-index of 33 (since 2020), a distinguished researcher at Nanjing University of Science and Technology, specializes in the field of Bioinformatics, Pattern Recognition, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

TransC-ac4C: Identification of N4-acetylcytidine (ac4C) sites in mRNA using deep learning

scRCA: a Siamese network-based pipeline for the annotation of cell types using imperfect single-cell RNA-seq reference data

MINDG: a drug–target interaction prediction method based on an integrated learning algorithm

ULDNA: integrating unsupervised multi-source language models with LSTM-attention network for high-accuracy protein–DNA binding site prediction

GMFGRN: a matrix factorization and graph neural network approach for gene regulatory network inference

FCMSTrans: Accurate Prediction of Disease-Associated nsSNPs by Utilizing Multiscale Convolution and Deep Feature Combination within a Transformer Framework

TransEFVP: A Two-Stage Approach for the Prediction of Human Pathogenic Variants Based on Protein Sequence Embedding Fusion

Robust GEPSVM classifier: An efficient iterative optimization framework

Dong-Jun Yu Information

University

Position

___

Citations(all)

4826

Citations(since 2020)

3142

Cited By

2911

hIndex(all)

37

hIndex(since 2020)

33

i10Index(all)

77

i10Index(since 2020)

68

Email

University Profile Page

Google Scholar

Dong-Jun Yu Skills & Research Interests

Bioinformatics

Pattern Recognition

Machine Learning

Top articles of Dong-Jun Yu

TransC-ac4C: Identification of N4-acetylcytidine (ac4C) sites in mRNA using deep learning

IEEE/ACM Transactions on Computational Biology and Bioinformatics

2024/4/12

scRCA: a Siamese network-based pipeline for the annotation of cell types using imperfect single-cell RNA-seq reference data

bioRxiv

2024

MINDG: a drug–target interaction prediction method based on an integrated learning algorithm

Bioinformatics

2024/4/1

ULDNA: integrating unsupervised multi-source language models with LSTM-attention network for high-accuracy protein–DNA binding site prediction

Briefings in Bioinformatics

2024/3/1

GMFGRN: a matrix factorization and graph neural network approach for gene regulatory network inference

Briefings in Bioinformatics

2024/3/1

FCMSTrans: Accurate Prediction of Disease-Associated nsSNPs by Utilizing Multiscale Convolution and Deep Feature Combination within a Transformer Framework

Journal of Chemical Information and Modeling

2024/2/13

Ming Zhang
Ming Zhang

H-Index: 44

Dong-Jun Yu
Dong-Jun Yu

H-Index: 26

TransEFVP: A Two-Stage Approach for the Prediction of Human Pathogenic Variants Based on Protein Sequence Embedding Fusion

Journal of Chemical Information and Modeling

2024/2/9

Robust GEPSVM classifier: An efficient iterative optimization framework

Information Sciences

2024/2/1

TM-search: An Efficient and Effective Tool for Protein Structure Database Search

Journal of Chemical Information and Modeling

2024/1/25

iMRSAPred: Improved Prediction of Anti-MRSA Peptides Using Physicochemical and Pairwise Contact-Energy Properties of Amino Acids

ACS omega

2024/1/3

Supervised contrastive learning enhances MHC-II peptide binding affinity prediction

bioRxiv

2023/12/23

Interpretable prediction models for widespread m6A RNA modification across cell lines and tissues

Bioinformatics

2023/12/1

MMPatho: Leveraging Multilevel Consensus and Evolutionary Information for Enhanced Missense Mutation Pathogenic Prediction

Journal of Chemical Information and Modeling

2023/11/10

Integrating unsupervised language model with multi-view multiple sequence alignments for high-accuracy inter-chain contact prediction

Computers in Biology and Medicine

2023/11/1

Zi Liu
Zi Liu

H-Index: 14

Dong-Jun Yu
Dong-Jun Yu

H-Index: 26

Robust generalized canonical correlation analysis

Applied Intelligence

2023/9

MLNGCF: circRNA–disease associations prediction with multilayer attention neural graph-based collaborative filtering

Bioinformatics

2023/8/1

Prediction of multiple types of RNA modifications via biological language model

IEEE/ACM Transactions on Computational Biology and Bioinformatics

2023/6/8

Glee: A granularity filter for feature selection

Engineering Applications of Artificial Intelligence

2023/6/1

TripletCell: a deep metric learning framework for accurate annotation of cell types at the single-cell level

Briefings in Bioinformatics

2023/4

Gcmapcrys: integrating graph attention network with predicted contact map for multi-stage protein crystallization propensity prediction

Analytical Biochemistry

2023/2/15

Dong-Jun Yu
Dong-Jun Yu

H-Index: 26

See List of Professors in Dong-Jun Yu University(Nanjing University of Science and Technology)