World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
5604
World Ranking
8962
National Ranking
1154

Overview

Dong-Jun Yu is affiliated with Nanjing University of Science and Technology in China, specializing in research at the intersection of biochemistry, genetics, and molecular biology. Their scholarly output spans over 227 publications in this broad field, with a focus on molecular biology and computational applications in life sciences.

Their work is grounded strongly in the subfields of molecular biology, computational theory and mathematics, artificial intelligence, biophysics, and materials chemistry. This range reflects a multidisciplinary approach that integrates biological sciences with computational and chemical insights.

Prominent topics covered in their research include:

  • Machine Learning in Bioinformatics
  • RNA and protein synthesis mechanisms
  • Protein Structure and Dynamics
  • Computational Drug Discovery Methods
  • Genomics and Phylogenetic Studies
  • Vaccines and immunoinformatics approaches
  • Bioinformatics and Genomic Networks

Their publications appear frequently in several scientific journals, with notable contributions to the following venues:

  • Journal of Chemical Information and Modeling
  • Briefings in Bioinformatics
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Bioinformatics
  • IEEE/ACM Transactions on Computational Biology and Bioinformatics

Some of the recent papers authored include:

  • "Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides," 2021, Briefings in Bioinformatics
  • "Deducing high-accuracy protein contact-maps from a triplet of coevolutionary matrices through deep residual convolutional networks," 2021, PLoS Computational Biology
  • "TargetCPP: accurate prediction of cell-penetrating peptides from optimized multi-scale features using gradient boost decision tree," 2020, Journal of Computer-Aided Molecular Design
  • "Leveraging the attention mechanism to improve the identification of DNA N6-methyladenine sites," 2021, Briefings in Bioinformatics
  • "StackACPred: Prediction of anticancer peptides by integrating optimized multiple feature descriptors with stacked ensemble approach," 2021, Chemometrics and Intelligent Laboratory Systems

The scientist collaborates regularly with a group of frequent co-authors, reflecting sustained research partnerships. These co-authors include Jiangning Song, Fang Ge, Yan Liu, Yiheng Zhu, and Long-Chen Shen.

Best Publications

  • Combination of interval-valued fuzzy set and soft set

    Xibei Yang;Tsau Young Lin;Jingyu Yang;Yan Li

  • Dominance-based rough set approach and knowledge reductions in incomplete ordered information system

    Xibei Yang;Jingyu Yang;Chen Wu;Dongjun Yu

  • Dominance-based rough set approach to incomplete interval-valued information system

    Xibei Yang;Dongjun Yu;Jingyu Yang;Lihua Wei

  • Multi-label learning with label-specific feature reduction

    Suping Xu;Xibei Yang;Hualong Yu;Dong-Jun Yu

  • ResPRE: high-accuracy protein contact prediction by coupling precision matrix with deep residual neural networks.

    Yang Li;Yang Li;Jun Hu;Jun Hu;Chengxin Zhang;Dong-Jun Yu

  • Designing Template-Free Predictor for Targeting Protein-Ligand Binding Sites with Classifier Ensemble and Spatial Clustering

    Dong-Jun Yu;Jun Hu;Jing Yang;Hong-Bin Shen

  • Comprehensive assessment of machine learning-based methods for predicting antimicrobial peptides.

    Jing Xu;Fuyi Li;André Leier;Dongxu Xiang

  • Protein-protein interaction sites prediction by ensembling SVM and sample-weighted random forests

    Zhi-Sen Wei;Ke Han;Jing-Yu Yang;Hong-Bin Shen

  • Generalization of Soft Set Theory: From Crisp to Fuzzy Case

    Xibei Yang;Dongjun Yu;Jingyu Yang;Chen Wu;Chen Wu

  • Ensembling multiple raw coevolutionary features with deep residual neural networks for contact-map prediction in CASP13.

    Yang Li;Yang Li;Chengxin Zhang;Eric W. Bell;Dong‐Jun Yu;Dong‐Jun Yu

  • An efficient renovation on kernel Fisher discriminant analysis and face recognition experiments

    Yong Xu;Jing-yu Yang;Jianfeng Lu;Dong-jun Yu

  • Predicting Protein-DNA Binding Residues by Weightedly Combining Sequence-Based Features and Boosting Multiple SVMs

    Jun Hu;Yang Li;Ming Zhang;Xibei Yang

  • Least squares twin bounded support vector machines based on L1-norm distance metric for classification

    He Yan;Qiaolin Ye;Qiaolin Ye;Tian’an Zhang;Dong-Jun Yu

  • α-Dominance relation and rough sets in interval-valued information systems

    Xibei Yang;Yong Qi;Dong-Jun Yu;Hualong Yu

  • Deducing high-accuracy protein contact-maps from a triplet of coevolutionary matrices through deep residual convolutional networks.

    Yang Li;Chengxin Zhang;Eric W. Bell;Wei Zheng

  • TargetATPsite: a template-free method for ATP-binding sites prediction with residue evolution image sparse representation and classifier ensemble.

    Dong-Jun Yu;Jun Hu;Yan Huang;Hong-Bin Shen;Hong-Bin Shen

  • Improving protein-ATP binding residues prediction by boosting SVMs with random under-sampling

    Dong-Jun Yu;Jun Hu;Zhen-Min Tang;Hong-Bin Shen

  • LS-align: an atom-level, flexible ligand structural alignment algorithm for high-throughput virtual screening.

    Jun Hu;Jun Hu;Zi Liu;Dong-Jun Yu;Yang Zhang

  • TargetM6A: Identifying N 6 -Methyladenosine Sites From RNA Sequences via Position-Specific Nucleotide Propensities and a Support Vector Machine

    Guang-Qing Li;Zi Liu;Hong-Bin Shen;Dong-Jun Yu

  • DNAPred: Accurate Identification of DNA-Binding Sites from Protein Sequence by Ensembled Hyperplane-Distance-Based Support Vector Machines.

    Yi-Heng Zhu;Jun Hu;Xiao-Ning Song;Dong-Jun Yu

  • DBPPred-PDSD: Machine learning approach for prediction of DNA-binding proteins using Discrete Wavelet Transform and optimized integrated features space

    Farman Ali;Muhammad Kabir;Muhammad Arif;Zar Nawab Khan Swati;Zar Nawab Khan Swati

Frequent Co-Authors

Jingyu Yang
Jingyu Yang Nanjing University of Science and Technology
Hong-Bin Shen
Hong-Bin Shen Shanghai Jiao Tong University
Xibei Yang
Xibei Yang Jiangsu University of Science and Technology
Yang Zhang
Yang Zhang University of Michigan–Ann Arbor
Jiangning Song
Jiangning Song Monash University
Xiaojun Wu
Xiaojun Wu University of Science and Technology of China
William A. P. Smith
William A. P. Smith University of York
Edwin R. Hancock
Edwin R. Hancock University of York
Gilbert S. Omenn
Gilbert S. Omenn University of Michigan–Ann Arbor
Yaser Daanial Khan
Yaser Daanial Khan University of Management and Technology

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