IEEE-ACM Transactions on Computational Biology and Bioinformatics

Papers
(The H4-Index of IEEE-ACM Transactions on Computational Biology and Bioinformatics is 42. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
Contrasting Multi-Source Temporal Knowledge Graphs for Biomedical Hypothesis Generation543
POPBic: Pathway-Based Order Preserving Biclustering Algorithm Towards the Analysis of Gene Expression Data152
Prediction of Transcription Factor Binding Sites With an Attention Augmented Convolutional Neural Network126
Row and Column Structure-Based Biclustering for Gene Expression Data107
Inference of a Dynamic Aging-related Biological Subnetwork via Network Propagation87
Data-Driven and Knowledge-Based Algorithms for Gene Network Reconstruction on High-Dimensional Data83
Prediction of circRNA-MiRNA Association Using Singular Value Decomposition and Graph Neural Networks79
An Ensemble Tf-Idf Based Approach to Protein Function Prediction via Sequence Segmentation76
Gene Co-Expression Networks Offer New Perspectives on Sepsis Pathophysiology73
IPP: An Intelligent Privacy-Preserving Scheme for Detecting Interactions in Genome Association Studies72
VMF-SSD: A Novel V-Space Based Multi-Scale Feature Fusion SSD for Apple Leaf Disease Detection71
The Determination of Distinctive Single Nucleotide Polymorphism Sets for the Diagnosis of Behçet's Disease69
Analysis of Cancer-Associated Mutations of POLB Using Machine Learning and Bioinformatics69
Protein-Protein Interaction Sites Prediction Using Batch Normalization Based CNNs and Oversampling Method Borderline-SMOTE66
Compressed Sparse FM-Index: Fast Sequence Alignment Using Large K-Steps65
ELMo4m6A: A Contextual Language Embedding-Based Predictor for Detecting RNA N6-Methyladenosine Sites63
scBKAP: A Clustering Model for Single-Cell RNA-Seq Data Based on Bisecting K-Means62
GraphPlas: Refined Classification of Plasmid Sequences Using Assembly Graphs61
An Effective Swarm Intelligence Optimization Algorithm for Flexible Ligand Docking61
Graph Convolutional Auto-Encoders for Predicting Novel lncRNA-Disease Associations57
Predicting Drug-Drug Interactions Based on Integrated Similarity and Semi-Supervised Learning57
Modality-DTA: Multimodality Fusion Strategy for Drug–Target Affinity Prediction56
IGNSCDA: Predicting CircRNA-Disease Associations Based on Improved Graph Convolutional Network and Negative Sampling55
Seq-BEL: Sequence-Based Ensemble Learning for Predicting Virus-Human Protein-Protein Interaction54
Hybrid Projective Synchronization via PI Controller Based on DNA Strand Displacement53
Higher-Order Proximity-Based MiRNA-Disease Associations Prediction52
Subgroup Identification Using Virtual Twins for Human Microbiome Studies50
New Labeling Methods for Deep Learning Real-Valued Inter-Residue Distance Prediction50
Fine-Grained Lesion Classification Framework for Early Auxiliary Diagnosis49
Spatial Stochastic Model of the Pre-B Cell Receptor49
PseU-KeMRF: A Novel Method for Identifying RNA Pseudouridine Sites49
A Neighborhood-Based Global Network Model to Predict Drug-Target Interactions47
NMTF-DTI: A Nonnegative Matrix Tri-factorization Approach With Multiple Kernel Fusion for Drug-Target Interaction Prediction47
Deep Learning in Gene Regulatory Network Inference: A Survey45
Feature Fusion GAN Based Virtual Staining on Plant Microscopy Images45
Improving Biomedical Question Answering by Data Augmentation and Model Weighting44
PSPGO: Cross-Species Heterogeneous Network Propagation for Protein Function Prediction44
Local R-Symmetry Co-Occurrence: Characterising Leaf Image Patterns for Identifying Cultivars44
Analyzing Effect of Multi-Modality in Predicting Protein-Protein Interactions44
Evaluation of Existing Methods for High-Order Epistasis Detection43
Group Sparse Joint Non-Negative Matrix Factorization on Orthogonal Subspace for Multi-Modal Imaging Genetics Data Analysis42
Predator: Predicting the Impact of Cancer Somatic Mutations on Protein-Protein Interactions42
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