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 2021-09-01 to 2025-09-01.)

Article	Citations
OTNet: A CNN Method Based on Hierarchical Attention Maps for Grading Arteriosclerosis of Fundus Images with Small Samples	60
Construction of a Pearson- and MIC-Based Co-expression Network to Identify Potential Cancer Genes	59
DP-ID: Interleaving and Denoising to Improve the Quality of DNA Storage Image	52
Unraveling Brain Synchronisation Dynamics by Explainable Neural Networks using EEG Signals: Application to Dyslexia Diagnosis	47
Parameter Estimation in Cellular Radiation Effects Using PSO-SQP and GA-SQP Hybrid Methods	46
m6ADP-GCNPUAS: m6A-Disease Prediction via Graph Convolutional Network and Positive-Unlabeled Learning with Self-Adaptive Sampling	45
AttResAMD: An Attention-Driven Deep Learning Framework for Expert-Level Automated Classification of Age-Related Macular Degeneration from Fundus Photography	41
Deep Clustering-Based Metabolic Stratification of Non-Small Cell Lung Cancer Patients Through Integration of Somatic Mutation Profile and Network Propagation Algorithm	38
ResDeepSurv: A Survival Model for Deep Neural Networks Based on Residual Blocks and Self-attention Mechanism	30
Automated Brain Tumor Classification and Grading Using Multi-scale Graph Neural Network with Spatio-Temporal Transformer Attention Through MRI Scans	27
CA-UNet Segmentation Makes a Good Ischemic Stroke Risk Prediction	25
Cervical Cancer Classification From Pap Smear Images Using Deep Convolutional Neural Network Models	25
Computational Study of Methionine Methylation Process Catalyzed by SETD3	22
An Integrated TCN-CrossMHA Model for Predicting circRNA-RBP Binding Sites	21
DCPPS: Prediction of Kinase-Specific Phosphorylation Sites Using Dynamic Embedding and Cross-Representation Interaction	21
PDDGCN: A Parasitic Disease–Drug Association Predictor Based on Multi-view Fusion Graph Convolutional Network	20
AMFCL: Predicting miRNA-Disease Associations Through Adaptive Multi-source Modality Fusion and Contrastive Learning	19
Differential Diagnosis of DCIS and Fibroadenoma Based on Ultrasound Images: a Difference-Based Self-Supervised Approach	19
Cell Fate Dynamics Reconstruction Identifies TPT1 and PTPRZ1 Feedback Loops as Master Regulators of Differentiation in Pediatric Glioblastoma-Immune Cell Networks	18
Development of Electrochemical Biosensor for miR204-Based Cancer Diagnosis	18
Machine Learning Accelerates De Novo Design of Antimicrobial Peptides	18
ViruSeg: Harnessing the Power of Large Language-Image Model for Enhanced Virus Image Segmentation	17
Diagnosis of Pancreatic Cancer Using miRNA30e Biosensor	17
A Domain Adaptive Interpretable Substructure-Aware Graph Attention Network for Drug–Drug Interaction Prediction	16
Identifying Lymph Node Metastasis-Related Factors in Breast Cancer Using Differential Modular and Mutational Structural Analysis	16

BiGM-lncLoc: Bi-level Multi-Graph Meta-Learning for Predicting Cell-Specific Long Noncoding RNAs Subcellular Localization	15
dbMisLoc: A Manually Curated Database of Conditional Protein Mis-localization Events	14
Adaptive Multi-Kernel Graph Neural Network for Drug-Drug Interaction Prediction	14
Developing a Novel Methodology by Integrating Deep Learning and HMM for Segmentation of Retinal Blood Vessels in Fundus Images	12
VHGAE: Drug-Target Interaction Prediction Model Based on Heterogeneous Graph Variational Autoencoder	12
AIP-TranLAC: A Transformer-Based Method Integrating LSTM and Attention Mechanism for Predicting Anti-inflammatory Peptides	12
A Multi-view Molecular Pre-training with Generative Contrastive Learning	10
MFFBi-Unet: Merging Dynamic Sparse Attention and Multi-scale Feature Fusion for Medical Image Segmentation	10
Development of an Expert-Level Right Ventricular Abnormality Detection Algorithm Based on Deep Learning	10
OptimDase: An Algorithm for Predicting DNA Binding Sites with Combined Feature Encoding	10
Drug Sensitivity Prediction Based on Multi-stage Multi-modal Drug Representation Learning	10
EfficientNet-resDDSC: A Hybrid Deep Learning Model Integrating Residual Blocks and Dilated Convolutions for Inferring Gene Causality in Single-Cell Data	10
Single-Cell Transcriptome Analysis Reveals the Role of Pancreatic Secretome in COVID-19 Associated Multi-organ Dysfunctions	10
CR-deal: Explainable Neural Network for circRNA-RBP Binding Site Recognition and Interpretation	10
Plant lncRNA-miRNA Interaction Prediction Based on Counterfactual Heterogeneous Graph Attention Network	9
Exploring Novel Fentanyl Analogues Using a Graph-Based Transformer Model	9
Protein Multiple Conformation Prediction Using Multi-Objective Evolution Algorithm	9
Transformative Deep Neural Network Approaches in Kidney Ultrasound Segmentation: Empirical Validation with an Annotated Dataset	9
Construction and Application of Traditional Chinese Medicine Knowledge Graph Based on Large Language Model	8
Review of Progress in Diagnostic Studies of Autism Spectrum Disorder Using Neuroimaging	8
scVAEBGM: Clustering Analysis of Single-Cell ATAC-seq Data Using a Deep Generative Model	8
Exploring the Molecular Basis of Substrate and Product Selectivities of Nocardicin Bifunctional Thioesterase	8
DCDA: CircRNA–Disease Association Prediction with Feed-Forward Neural Network and Deep Autoencoder	8
scEM: A New Ensemble Framework for Predicting Cell Type Composition Based on scRNA-Seq Data	8
PredAPP: Predicting Anti-Parasitic Peptides with Undersampling and Ensemble Approaches	7
CHL-DTI: A Novel High–Low Order Information Convergence Framework for Effective Drug–Target Interaction Prediction	7
Improving the Prediction of Potential Kinase Inhibitors with Feature Learning on Multisource Knowledge	7
Semantic Consistency Network with Edge Learner and Connectivity Enhancer for Cervical Tumor Segmentation from Histopathology Images	7
Integrating Protein–Protein Interaction Networks and Somatic Mutation Data to Detect Driver Modules in Pan-Cancer	7
Classification of Glomerular Pathology Images in Children Using Convolutional Neural Networks with Improved SE-ResNet Module	7
Identifying Protein Phosphorylation Site-Disease Associations Based on Multi-Similarity Fusion and Negative Sample Selection by Convolutional Neural Network	7
Biomarker Identification in Membranous Nephropathy Using a Long Non-coding RNA-Mediated Competitive Endogenous RNA Network	7
MVGCNMDA: Multi-view Graph Augmentation Convolutional Network for Uncovering Disease-Related Microbes	7
Correction to: HD5 and LL‑37 Inhibit SARS‑CoV and SARS‑CoV‑2 Binding to Human ACE2 by Molecular Simulation	7
IHDFN-DTI: Interpretable Hybrid Deep Feature Fusion Network for Drug–Target Interaction Prediction	7
easyMF: A Web Platform for Matrix Factorization-Based Gene Discovery from Large-scale Transcriptome Data	7
Correction to: Machine Learning Accelerates De Novo Design of Antimicrobial Peptides	7
DOTAD: A Database of Therapeutic Antibody Developability	7
A Review of Parallel Implementations for the Smith–Waterman Algorithm	7
BEST: Basic Embedding Search Tool Enhancing Discovery of Novel Enzyme	6
CRBP-HFEF: Prediction of RBP-Binding Sites on circRNAs Based on Hierarchical Feature Expansion and Fusion	6
A Novel Deep Learning Model for Medical Image Segmentation with Convolutional Neural Network and Transformer	6
SMART v1.0: A Database for Small Molecules with Functional Implications in Plants	6
Multi-kernel Learning Fusion Algorithm Based on RNN and GRU for ASD Diagnosis and Pathogenic Brain Region Extraction	6
iAmyP: A Multi-view Learning for Amyloidogenic Hexapeptides Identification Based on Sequence Least Squares Programming	6
PmliHFM: Predicting Plant miRNA-lncRNA Interactions with Hybrid Feature Mining Network	6
BMRI-NET: A Deep Stacked Ensemble Model for Multi-class Brain Tumor Classification from MRI Images	6
IDDLncLoc: Subcellular Localization of LncRNAs Based on a Framework for Imbalanced Data Distributions	6
RicENN: Prediction of Rice Enhancers with Neural Network Based on DNA Sequences	6