IEEE-ACM Transactions on Computational Biology and Bioinformatics

Papers
(The H4-Index of IEEE-ACM Transactions on Computational Biology and Bioinformatics is 36. 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 2020-05-01 to 2024-05-01.)
ArticleCitations
Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images441
XGBoost Model for Chronic Kidney Disease Diagnosis383
CNN-RNN Based Intelligent Recommendation for Online Medical Pre-Diagnosis Support237
EEG-Based Brain-Computer Interfaces (BCIs): A Survey of Recent Studies on Signal Sensing Technologies and Computational Intelligence Approaches and Their Applications148
D-UNet: A Dimension-Fusion U Shape Network for Chronic Stroke Lesion Segmentation110
Advanced Machine-Learning Methods for Brain-Computer Interfacing80
A Fast Linear Neighborhood Similarity-Based Network Link Inference Method to Predict MicroRNA-Disease Associations68
A New ECG Denoising Framework Using Generative Adversarial Network63
DeepDSC: A Deep Learning Method to Predict Drug Sensitivity of Cancer Cell Lines60
Plant Disease Detection using Generated Leaves Based on DoubleGAN60
Deep Bidirectional Classification Model for COVID-19 Disease Infected Patients58
Deep Learning for Automated Feature Discovery and Classification of Sleep Stages57
ResNet-SCDA-50 for Breast Abnormality Classification57
Graph Convolutional Networks for Drug Response Prediction55
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
MatchMaker: A Deep Learning Framework for Drug Synergy Prediction51
Amino Acid Encoding Methods for Protein Sequences: A Comprehensive Review and Assessment51
Subject-Independent Emotion Recognition of EEG Signals Based on Dynamic Empirical Convolutional Neural Network50
LDICDL: LncRNA-Disease Association Identification Based on Collaborative Deep Learning49
ILDMSF: Inferring Associations Between Long Non-Coding RNA and Disease Based on Multi-Similarity Fusion49
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
A Global and Local Enhanced Residual U-Net for Accurate Retinal Vessel Segmentation45
MGRFE: Multilayer Recursive Feature Elimination Based on an Embedded Genetic Algorithm for Cancer Classification43
Predicting in-vitro Transcription Factor Binding Sites Using DNA Sequence + Shape42
Capsule Network Based Modeling of Multi-omics Data for Discovery of Breast Cancer-Related Genes42
Multi-View Mammographic Density Classification by Dilated and Attention-Guided Residual Learning41
Designing Uncorrelated Address Constrain for DNA Storage by DMVO Algorithm40
GEFA: Early Fusion Approach in Drug-Target Affinity Prediction39
Drug-Target Interaction Prediction Using Multi-Head Self-Attention and Graph Attention Network39
DMFLDA: A Deep Learning Framework for Predicting lncRNA–Disease Associations39
Protein Crystallization Identification via Fuzzy Model on Linear Neighborhood Representation38
A Comprehensive Review of Computational Methods For Drug-Drug Interaction Detection38
Combining High Speed ELM Learning with a Deep Convolutional Neural Network Feature Encoding for Predicting Protein-RNA Interactions38
iLncRNAdis-FB: Identify lncRNA-Disease Associations by Fusing Biological Feature Blocks Through Deep Neural Network36
Cross-Modality LGE-CMR Segmentation Using Image-to-Image Translation Based Data Augmentation36
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