IEEE-ACM Transactions on Computational Biology and Bioinformatics

Papers
(The H4-Index of IEEE-ACM Transactions on Computational Biology and Bioinformatics is 41. 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 2021-06-01 to 2025-06-01.)
ArticleCitations
Gene Co-Expression Networks Offer New Perspectives on Sepsis Pathophysiology523
Row and Column Structure-Based Biclustering for Gene Expression Data255
Analysis of Cancer-Associated Mutations of POLB Using Machine Learning and Bioinformatics137
The Determination of Distinctive Single Nucleotide Polymorphism Sets for the Diagnosis of Behçet's Disease106
Inference of a Dynamic Aging-related Biological Subnetwork via Network Propagation95
Data-Driven and Knowledge-Based Algorithms for Gene Network Reconstruction on High-Dimensional Data88
POPBic: Pathway-Based Order Preserving Biclustering Algorithm Towards the Analysis of Gene Expression Data82
New Labeling Methods for Deep Learning Real-Valued Inter-Residue Distance Prediction78
Prediction of Transcription Factor Binding Sites With an Attention Augmented Convolutional Neural Network70
GenSeq+: A Scalable High-Performance Accelerator for Genome Sequencing69
RNASeqR: An R Package for Automated Two-Group RNA-Seq Analysis Workflow64
Contrasting Multi-Source Temporal Knowledge Graphs for Biomedical Hypothesis Generation64
Hybrid Projective Synchronization via PI Controller Based on DNA Strand Displacement62
IPP: An Intelligent Privacy-Preserving Scheme for Detecting Interactions in Genome Association Studies61
GraphPlas: Refined Classification of Plasmid Sequences Using Assembly Graphs61
Seq-BEL: Sequence-Based Ensemble Learning for Predicting Virus-Human Protein-Protein Interaction61
Higher-Order Proximity-Based MiRNA-Disease Associations Prediction56
High-Throughput Screening and Quantum Mechanics for Identifying Potent Inhibitors Against Mac1 Domain of SARS-CoV-2 Nsp355
Protein Fold Recognition by Combining Support Vector Machines and Pairwise Sequence Similarity Scores53
scBKAP: A Clustering Model for Single-Cell RNA-Seq Data Based on Bisecting K-Means50
Graph Convolutional Auto-Encoders for Predicting Novel lncRNA-Disease Associations49
Compressed Sparse FM-Index: Fast Sequence Alignment Using Large K-Steps48
Prediction of circRNA-MiRNA Association Using Singular Value Decomposition and Graph Neural Networks48
An Effective Swarm Intelligence Optimization Algorithm for Flexible Ligand Docking48
An Ensemble Tf-Idf Based Approach to Protein Function Prediction via Sequence Segmentation48
ELMo4m6A: A Contextual Language Embedding-Based Predictor for Detecting RNA N6-Methyladenosine Sites47
Predicting Drug-Drug Interactions Based on Integrated Similarity and Semi-Supervised Learning47
An Automated Cell Tracking Approach With Multi-Bernoulli Filtering and Ant Colony Labor Division47
VMF-SSD: A Novel V-Space Based Multi-Scale Feature Fusion SSD for Apple Leaf Disease Detection46
IGNSCDA: Predicting CircRNA-Disease Associations Based on Improved Graph Convolutional Network and Negative Sampling46
Modality-DTA: Multimodality Fusion Strategy for Drug–Target Affinity Prediction45
Protein-Protein Interaction Sites Prediction Using Batch Normalization Based CNNs and Oversampling Method Borderline-SMOTE44
A Neighborhood-Based Global Network Model to Predict Drug-Target Interactions43
RNPredATC: A Deep Residual Learning-Based Model With Applications to the Prediction of Drug-ATC Code Association43
Predator: Predicting the Impact of Cancer Somatic Mutations on Protein-Protein Interactions42
NMTF-DTI: A Nonnegative Matrix Tri-factorization Approach With Multiple Kernel Fusion for Drug-Target Interaction Prediction42
Minimum Functional Length Analysis of K-Mer Based on BPNN41
WVDL: Weighted Voting Deep Learning Model for Predicting RNA-Protein Binding Sites41
Analyzing Effect of Multi-Modality in Predicting Protein-Protein Interactions41
Spatial Stochastic Model of the Pre-B Cell Receptor41
An Approach of Epistasis Detection Using Integer Linear Programming Optimizing Bayesian Network41
0.2053108215332