OOIR: Observatory of International Research

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 2021-05-01 to 2025-05-01.)

Article	Citations
Compressed Sparse FM-Index: Fast Sequence Alignment Using Large K-Steps	521
Gene Co-Expression Networks Offer New Perspectives on Sepsis Pathophysiology	339
Row and Column Structure-Based Biclustering for Gene Expression Data	250
Analysis of Cancer-Associated Mutations of POLB Using Machine Learning and Bioinformatics	138
The Determination of Distinctive Single Nucleotide Polymorphism Sets for the Diagnosis of Behçet's Disease	133
Inference of a Dynamic Aging-related Biological Subnetwork via Network Propagation	103
Data-Driven and Knowledge-Based Algorithms for Gene Network Reconstruction on High-Dimensional Data	93
POPBic: Pathway-Based Order Preserving Biclustering Algorithm Towards the Analysis of Gene Expression Data	85
An Ensemble Tf-Idf Based Approach to Protein Function Prediction via Sequence Segmentation	79
New Labeling Methods for Deep Learning Real-Valued Inter-Residue Distance Prediction	76
GenSeq+: A Scalable High-Performance Accelerator for Genome Sequencing	68
Prediction of Transcription Factor Binding Sites With an Attention Augmented Convolutional Neural Network	68
Prediction of circRNA-MiRNA Association Using Singular Value Decomposition and Graph Neural Networks	63
RNASeqR: An R Package for Automated Two-Group RNA-Seq Analysis Workflow	63
An Automated Cell Tracking Approach With Multi-Bernoulli Filtering and Ant Colony Labor Division	62
Hybrid Projective Synchronization via PI Controller Based on DNA Strand Displacement	61
Contrasting Multi-Source Temporal Knowledge Graphs for Biomedical Hypothesis Generation	61
IGNSCDA: Predicting CircRNA-Disease Associations Based on Improved Graph Convolutional Network and Negative Sampling	58
IPP: An Intelligent Privacy-Preserving Scheme for Detecting Interactions in Genome Association Studies	54
High-Throughput Screening and Quantum Mechanics for Identifying Potent Inhibitors Against Mac1 Domain of SARS-CoV-2 Nsp3	53
Seq-BEL: Sequence-Based Ensemble Learning for Predicting Virus-Human Protein-Protein Interaction	53
Higher-Order Proximity-Based MiRNA-Disease Associations Prediction	53
GraphPlas: Refined Classification of Plasmid Sequences Using Assembly Graphs	53
VMF-SSD: A Novel V-Space Based Multi-Scale Feature Fusion SSD for Apple Leaf Disease Detection	52
ELMo4m6A: A Contextual Language Embedding-Based Predictor for Detecting RNA N6-Methyladenosine Sites	52

Predicting Drug-Drug Interactions Based on Integrated Similarity and Semi-Supervised Learning	50
Protein-Protein Interaction Sites Prediction Using Batch Normalization Based CNNs and Oversampling Method Borderline-SMOTE	48
scBKAP: A Clustering Model for Single-Cell RNA-Seq Data Based on Bisecting K-Means	48
An Effective Swarm Intelligence Optimization Algorithm for Flexible Ligand Docking	48
Protein Fold Recognition by Combining Support Vector Machines and Pairwise Sequence Similarity Scores	48
Modality-DTA: Multimodality Fusion Strategy for Drug–Target Affinity Prediction	47
Graph Convolutional Auto-Encoders for Predicting Novel lncRNA-Disease Associations	47
RNPredATC: A Deep Residual Learning-Based Model With Applications to the Prediction of Drug-ATC Code Association	46
A Method of Information Protection for Collaborative Deep Learning under GAN Model Attack	46
Local R-Symmetry Co-Occurrence: Characterising Leaf Image Patterns for Identifying Cultivars	46
WVDL: Weighted Voting Deep Learning Model for Predicting RNA-Protein Binding Sites	45
TransCrispr: Transformer Based Hybrid Model for Predicting CRISPR/Cas9 Single Guide RNA Cleavage Efficiency	44
A Neighborhood-Based Global Network Model to Predict Drug-Target Interactions	43
NMTF-DTI: A Nonnegative Matrix Tri-factorization Approach With Multiple Kernel Fusion for Drug-Target Interaction Prediction	42
An Approach of Epistasis Detection Using Integer Linear Programming Optimizing Bayesian Network	41
Deep Learning in Gene Regulatory Network Inference: A Survey	41
Evaluation of Existing Methods for High-Order Epistasis Detection	41