IEEE-ACM Transactions on Computational Biology and Bioinformatics

Papers
(The H4-Index of IEEE-ACM Transactions on Computational Biology and Bioinformatics is 34. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)
ArticleCitations
Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images428
XGBoost Model for Chronic Kidney Disease Diagnosis353
CNN-RNN Based Intelligent Recommendation for Online Medical Pre-Diagnosis Support230
EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications133
D-UNet: A Dimension-Fusion U Shape Network for Chronic Stroke Lesion Segmentation105
Advanced Machine-Learning Methods for Brain-Computer Interfacing79
A Fast Linear Neighborhood Similarity-Based Network Link Inference Method to Predict MicroRNA-Disease Associations67
A New ECG Denoising Framework Using Generative Adversarial Network59
DeepDSC: A Deep Learning Method to Predict Drug Sensitivity of Cancer Cell Lines57
Deep Bidirectional Classification Model for COVID-19 Disease Infected Patients55
Plant Disease Detection using Generated Leaves Based on DoubleGAN54
A Method of Information Protection for Collaborative Deep Learning under GAN Model Attack53
Prediction of FMN Binding Sites in Electron Transport Chains Based on 2-D CNN and PSSM Profiles52
Deep Learning for Automated Feature Discovery and Classification of Sleep Stages52
ResNet-SCDA-50 for Breast Abnormality Classification52
Amino Acid Encoding Methods for Protein Sequences: A Comprehensive Review and Assessment50
Graph Convolutional Networks for Drug Response Prediction49
iPhosH-PseAAC: Identify Phosphohistidine Sites in Proteins by Blending Statistical Moments and Position Relative Features According to the Chou's 5-Step Rule and General Pseudo Amino Acid Composition48
Subject-Independent Emotion Recognition of EEG Signals Based on Dynamic Empirical Convolutional Neural Network47
ILDMSF: Inferring Associations Between Long Non-Coding RNA and Disease Based on Multi-Similarity Fusion47
LDICDL: LncRNA-Disease Association Identification Based on Collaborative Deep Learning45
A Global and Local Enhanced Residual U-Net for Accurate Retinal Vessel Segmentation44
MatchMaker: A Deep Learning Framework for Drug Synergy Prediction44
Predicting in-vitro Transcription Factor Binding Sites Using DNA Sequence + Shape40
Capsule Network Based Modeling of Multi-omics Data for Discovery of Breast Cancer-Related Genes39
Combining High Speed ELM Learning with a Deep Convolutional Neural Network Feature Encoding for Predicting Protein-RNA Interactions39
MGRFE: Multilayer Recursive Feature Elimination Based on an Embedded Genetic Algorithm for Cancer Classification39
Multi-View Mammographic Density Classification by Dilated and Attention-Guided Residual Learning38
DMFLDA: A Deep Learning Framework for Predicting lncRNA–Disease Associations38
Protein Crystallization Identification via Fuzzy Model on Linear Neighborhood Representation38
Time-Aware Missing Healthcare Data Prediction Based on ARIMA Model36
Designing Uncorrelated Address Constrain for DNA Storage by DMVO Algorithm36
iLncRNAdis-FB: Identify lncRNA-Disease Associations by Fusing Biological Feature Blocks Through Deep Neural Network35
Drug-Target Interaction Prediction Using Multi-Head Self-Attention and Graph Attention Network35
A Novel Approach for Potential Human LncRNA-Disease Association Prediction Based on Local Random Walk34
GEFA: Early Fusion Approach in Drug-Target Affinity Prediction34
RNA-Protein Binding Sites Prediction via Multi Scale Convolutional Gated Recurrent Unit Networks34
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