OOIR: Observatory of International Research

Papers

(The TQCC of Interdisciplinary Sciences-Computational Life Sciences is 6. 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 2022-01-01 to 2026-01-01.)

Article	Citations
Parameter Estimation in Cellular Radiation Effects Using PSO-SQP and GA-SQP Hybrid Methods	69
m6ADP-GCNPUAS: m6A-Disease Prediction via Graph Convolutional Network and Positive-Unlabeled Learning with Self-Adaptive Sampling	66
DP-ID: Interleaving and Denoising to Improve the Quality of DNA Storage Image	56
Unraveling Brain Synchronisation Dynamics by Explainable Neural Networks using EEG Signals: Application to Dyslexia Diagnosis	48
AttResAMD: An Attention-Driven Deep Learning Framework for Expert-Level Automated Classification of Age-Related Macular Degeneration from Fundus Photography	47
Computational Study of Methionine Methylation Process Catalyzed by SETD3	42
An Integrated TCN-CrossMHA Model for Predicting circRNA-RBP Binding Sites	37
Deep Clustering-Based Metabolic Stratification of Non-Small Cell Lung Cancer Patients Through Integration of Somatic Mutation Profile and Network Propagation Algorithm	35
DCPPS: Prediction of Kinase-Specific Phosphorylation Sites Using Dynamic Embedding and Cross-Representation Interaction	30
CA-UNet Segmentation Makes a Good Ischemic Stroke Risk Prediction	27
Cervical Cancer Classification From Pap Smear Images Using Deep Convolutional Neural Network Models	25
PDDGCN: A Parasitic Disease–Drug Association Predictor Based on Multi-view Fusion Graph Convolutional Network	24
Automated Brain Tumor Classification and Grading Using Multi-scale Graph Neural Network with Spatio-Temporal Transformer Attention Through MRI Scans	22
Differential Diagnosis of DCIS and Fibroadenoma Based on Ultrasound Images: a Difference-Based Self-Supervised Approach	21
GSF-DTA: An Innovative Graph-Sequence Fusion Framework for Drug-Target Affinity Prediction	21
ResDeepSurv: A Survival Model for Deep Neural Networks Based on Residual Blocks and Self-attention Mechanism	21
Unveiling Putative Functions of Burkholderia pseudomallei K96243 Hypothetical Proteins Via High-Throughput Characterization of Structural Similarities	20
AMFCL: Predicting miRNA-Disease Associations Through Adaptive Multi-source Modality Fusion and Contrastive Learning	20
Adaptive Multi-Kernel Graph Neural Network for Drug-Drug Interaction Prediction	19
Development of Electrochemical Biosensor for miR204-Based Cancer Diagnosis	18
Diagnosis of Pancreatic Cancer Using miRNA30e Biosensor	17
VHGAE: Drug-Target Interaction Prediction Model Based on Heterogeneous Graph Variational Autoencoder	17
BiGM-lncLoc: Bi-level Multi-Graph Meta-Learning for Predicting Cell-Specific Long Noncoding RNAs Subcellular Localization	17
ViruSeg: Harnessing the Power of Large Language-Image Model for Enhanced Virus Image Segmentation	17
Machine Learning Accelerates De Novo Design of Antimicrobial Peptides	14

Identifying Lymph Node Metastasis-Related Factors in Breast Cancer Using Differential Modular and Mutational Structural Analysis	14
Cell Fate Dynamics Reconstruction Identifies TPT1 and PTPRZ1 Feedback Loops as Master Regulators of Differentiation in Pediatric Glioblastoma-Immune Cell Networks	14
Developing a Novel Methodology by Integrating Deep Learning and HMM for Segmentation of Retinal Blood Vessels in Fundus Images	14
AIP-TranLAC: A Transformer-Based Method Integrating LSTM and Attention Mechanism for Predicting Anti-inflammatory Peptides	13
dbMisLoc: A Manually Curated Database of Conditional Protein Mis-localization Events	13
A Domain Adaptive Interpretable Substructure-Aware Graph Attention Network for Drug–Drug Interaction Prediction	13
EfficientNet-resDDSC: A Hybrid Deep Learning Model Integrating Residual Blocks and Dilated Convolutions for Inferring Gene Causality in Single-Cell Data	12
Single-Cell Transcriptome Analysis Reveals the Role of Pancreatic Secretome in COVID-19 Associated Multi-organ Dysfunctions	11
Drug Sensitivity Prediction Based on Multi-stage Multi-modal Drug Representation Learning	11
A Multi-view Molecular Pre-training with Generative Contrastive Learning	11
MKLNID: Identifying Melanoma-related Pathogenic Genes Through Multiple Kernel Learning and Network Impulsive Dynamics	11
MFFBi-Unet: Merging Dynamic Sparse Attention and Multi-scale Feature Fusion for Medical Image Segmentation	11
Development of an Expert-Level Right Ventricular Abnormality Detection Algorithm Based on Deep Learning	11
OptimDase: An Algorithm for Predicting DNA Binding Sites with Combined Feature Encoding	11
CR-deal: Explainable Neural Network for circRNA-RBP Binding Site Recognition and Interpretation	11
scEM: A New Ensemble Framework for Predicting Cell Type Composition Based on scRNA-Seq Data	10
scVAEBGM: Clustering Analysis of Single-Cell ATAC-seq Data Using a Deep Generative Model	10
Transformative Deep Neural Network Approaches in Kidney Ultrasound Segmentation: Empirical Validation with an Annotated Dataset	10
DCDA: CircRNA–Disease Association Prediction with Feed-Forward Neural Network and Deep Autoencoder	9
Exploring Novel Fentanyl Analogues Using a Graph-Based Transformer Model	9
Review of Progress in Diagnostic Studies of Autism Spectrum Disorder Using Neuroimaging	9
Plant lncRNA-miRNA Interaction Prediction Based on Counterfactual Heterogeneous Graph Attention Network	9
Construction and Application of Traditional Chinese Medicine Knowledge Graph Based on Large Language Model	9
Protein Multiple Conformation Prediction Using Multi-Objective Evolution Algorithm	9
Correction to: Machine Learning Accelerates De Novo Design of Antimicrobial Peptides	9
Improving the Prediction of Potential Kinase Inhibitors with Feature Learning on Multisource Knowledge	8
easyMF: A Web Platform for Matrix Factorization-Based Gene Discovery from Large-scale Transcriptome Data	8
Semantic Consistency Network with Edge Learner and Connectivity Enhancer for Cervical Tumor Segmentation from Histopathology Images	8
Interpretable Cancer Survival Prediction by Fusing Semantic Labelling of Cell Types and Whole Slide Images	8
IHDFN-DTI: Interpretable Hybrid Deep Feature Fusion Network for Drug–Target Interaction Prediction	7
CHL-DTI: A Novel High–Low Order Information Convergence Framework for Effective Drug–Target Interaction Prediction	7
Classification of Glomerular Pathology Images in Children Using Convolutional Neural Networks with Improved SE-ResNet Module	7
CRBP-HFEF: Prediction of RBP-Binding Sites on circRNAs Based on Hierarchical Feature Expansion and Fusion	7
BMRI-NET: A Deep Stacked Ensemble Model for Multi-class Brain Tumor Classification from MRI Images	7
Predicting miRNA-Drug Interactions Based on Multi-source Feature Fusion of Heterogeneous Network	7
DiTSim: A Diffusion-Transformers Based Single-Cell ATAC-seq Data Simulator	7
Identifying Protein Phosphorylation Site-Disease Associations Based on Multi-Similarity Fusion and Negative Sample Selection by Convolutional Neural Network	7
IDDLncLoc: Subcellular Localization of LncRNAs Based on a Framework for Imbalanced Data Distributions	7
iAmyP: A Multi-view Learning for Amyloidogenic Hexapeptides Identification Based on Sequence Least Squares Programming	7
MVGCNMDA: Multi-view Graph Augmentation Convolutional Network for Uncovering Disease-Related Microbes	7
BEST: Basic Embedding Search Tool Enhancing Discovery of Novel Enzyme	7
DOTAD: A Database of Therapeutic Antibody Developability	7
IMF-DDI: Information Mapping and Fusion Framework for Drug-drug Interaction Prediction	7
PmliHFM: Predicting Plant miRNA-lncRNA Interactions with Hybrid Feature Mining Network	7
Multi-kernel Learning Fusion Algorithm Based on RNN and GRU for ASD Diagnosis and Pathogenic Brain Region Extraction	6
MTGGF: A Metabolism Type-Aware Graph Generative Model for Molecular Metabolite Prediction	6
Diffusion Model-Based Multi-Channel EEG Representation and Forecasting for Early Epileptic Seizure Warning	6
Efficient Storage and Analysis of Genomic Data: A k-mer Frequency Mapping and Image Representation Method	6
stGNN: Spatially Informed Cell-Type Deconvolution Based on Deep Graph Learning and Statistical Modeling	6
A Novel Deep Learning Model for Medical Image Segmentation with Convolutional Neural Network and Transformer	6

NPI-HGNN: A Heterogeneous Graph Neural Network-Based Approach for Predicting ncRNA-Protein Interactions	6
Predicting Drug Synergy and Discovering New Drug Combinations Based on a Graph Autoencoder and Convolutional Neural Network	6
RicENN: Prediction of Rice Enhancers with Neural Network Based on DNA Sequences	6
Dual Attention Mechanisms and Feature Fusion Networks Based Method for Predicting LncRNA-Disease Associations	6
Combining Global-Constrained Concept Factorization and a Regularized Gaussian Graphical Model for Clustering Single-Cell RNA-seq Data	6
SANNO: A Graph-Transformer Enhanced Optimal Transport Tool for Spatial Transcriptomic Annotation	6