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

Article	Citations
Unraveling Brain Synchronisation Dynamics by Explainable Neural Networks using EEG Signals: Application to Dyslexia Diagnosis	156
OTNet: A CNN Method Based on Hierarchical Attention Maps for Grading Arteriosclerosis of Fundus Images with Small Samples	123
Construction of a Pearson- and MIC-Based Co-expression Network to Identify Potential Cancer Genes	54
DP-ID: Interleaving and Denoising to Improve the Quality of DNA Storage Image	53
Deep Clustering-Based Metabolic Stratification of Non-Small Cell Lung Cancer Patients Through Integration of Somatic Mutation Profile and Network Propagation Algorithm	45
CA-UNet Segmentation Makes a Good Ischemic Stroke Risk Prediction	45
Metapath-Based Deep Convolutional Neural Network for Predicting miRNA-Target Association on Heterogeneous Network	41
Computational Study of Methionine Methylation Process Catalyzed by SETD3	41
An Integrated TCN-CrossMHA Model for Predicting circRNA-RBP Binding Sites	36
Differential Diagnosis of DCIS and Fibroadenoma Based on Ultrasound Images: a Difference-Based Self-Supervised Approach	36
ResDeepSurv: A Survival Model for Deep Neural Networks Based on Residual Blocks and Self-attention Mechanism	32
Cervical Cancer Classification From Pap Smear Images Using Deep Convolutional Neural Network Models	30
PDDGCN: A Parasitic Disease–Drug Association Predictor Based on Multi-view Fusion Graph Convolutional Network	27
dbMisLoc: A Manually Curated Database of Conditional Protein Mis-localization Events	26
Identifying Lymph Node Metastasis-Related Factors in Breast Cancer Using Differential Modular and Mutational Structural Analysis	26
Machine Learning Accelerates De Novo Design of Antimicrobial Peptides	22
Cell Fate Dynamics Reconstruction Identifies TPT1 and PTPRZ1 Feedback Loops as Master Regulators of Differentiation in Pediatric Glioblastoma-Immune Cell Networks	21
Developing a Novel Methodology by Integrating Deep Learning and HMM for Segmentation of Retinal Blood Vessels in Fundus Images	21
Adaptive Multi-Kernel Graph Neural Network for Drug-Drug Interaction Prediction	21
BiGM-lncLoc: Bi-level Multi-Graph Meta-Learning for Predicting Cell-Specific Long Noncoding RNAs Subcellular Localization	20
Diagnosis of Pancreatic Cancer Using miRNA30e Biosensor	20
Development of Electrochemical Biosensor for miR204-Based Cancer Diagnosis	19
Predicting circRNA-Disease Associations Based on Deep Matrix Factorization with Multi-source Fusion	16
A Domain Adaptive Interpretable Substructure-Aware Graph Attention Network for Drug–Drug Interaction Prediction	16
Drug Sensitivity Prediction Based on Multi-stage Multi-modal Drug Representation Learning	15

Development of an Expert-Level Right Ventricular Abnormality Detection Algorithm Based on Deep Learning	15
A Multi-view Molecular Pre-training with Generative Contrastive Learning	15
EfficientNet-resDDSC: A Hybrid Deep Learning Model Integrating Residual Blocks and Dilated Convolutions for Inferring Gene Causality in Single-Cell Data	15
A Hierarchical Error Correction Strategy for Text DNA Storage	14
CR-deal: Explainable Neural Network for circRNA-RBP Binding Site Recognition and Interpretation	14
Single-Cell Transcriptome Analysis Reveals the Role of Pancreatic Secretome in COVID-19 Associated Multi-organ Dysfunctions	13
Transformative Deep Neural Network Approaches in Kidney Ultrasound Segmentation: Empirical Validation with an Annotated Dataset	12
Exploring Novel Fentanyl Analogues Using a Graph-Based Transformer Model	12
The Performance Comparison of Gene Co-expression Networks of Breast and Prostate Cancer using Different Selection Criteria	12
Plant lncRNA-miRNA Interaction Prediction Based on Counterfactual Heterogeneous Graph Attention Network	12
scEM: A New Ensemble Framework for Predicting Cell Type Composition Based on scRNA-Seq Data	12
Review of Progress in Diagnostic Studies of Autism Spectrum Disorder Using Neuroimaging	10
Protein Multiple Conformation Prediction Using Multi-Objective Evolution Algorithm	10
scVAEBGM: Clustering Analysis of Single-Cell ATAC-seq Data Using a Deep Generative Model	10
DCDA: CircRNA–Disease Association Prediction with Feed-Forward Neural Network and Deep Autoencoder	10
Improving the Prediction of Potential Kinase Inhibitors with Feature Learning on Multisource Knowledge	9
Exploring the Molecular Basis of Substrate and Product Selectivities of Nocardicin Bifunctional Thioesterase	9
easyMF: A Web Platform for Matrix Factorization-Based Gene Discovery from Large-scale Transcriptome Data	9
TUPDB: Target-Unrelated Peptide Data Bank	9
MVGCNMDA: Multi-view Graph Augmentation Convolutional Network for Uncovering Disease-Related Microbes	9
Correction to: Machine Learning Accelerates De Novo Design of Antimicrobial Peptides	9
DOTAD: A Database of Therapeutic Antibody Developability	8
A Review of Parallel Implementations for the Smith–Waterman Algorithm	8
Biomarker Identification in Membranous Nephropathy Using a Long Non-coding RNA-Mediated Competitive Endogenous RNA Network	8
Integrating Protein–Protein Interaction Networks and Somatic Mutation Data to Detect Driver Modules in Pan-Cancer	8
Semantic Consistency Network with Edge Learner and Connectivity Enhancer for Cervical Tumor Segmentation from Histopathology Images	8
Prediction of Protein Solubility Based on Sequence Feature Fusion and DDcCNN	8
CHL-DTI: A Novel High–Low Order Information Convergence Framework for Effective Drug–Target Interaction Prediction	8
Classification of Glomerular Pathology Images in Children Using Convolutional Neural Networks with Improved SE-ResNet Module	7
PredAPP: Predicting Anti-Parasitic Peptides with Undersampling and Ensemble Approaches	7
BMRI-NET: A Deep Stacked Ensemble Model for Multi-class Brain Tumor Classification from MRI Images	7
A Novel Deep Learning Model for Medical Image Segmentation with Convolutional Neural Network and Transformer	7
RicENN: Prediction of Rice Enhancers with Neural Network Based on DNA Sequences	7
Correction to: HD5 and LL‑37 Inhibit SARS‑CoV and SARS‑CoV‑2 Binding to Human ACE2 by Molecular Simulation	7
In Silico Mutagenesis-Based Remodelling of SARS-CoV-1 Peptide (ATLQAIAS) to Inhibit SARS-CoV-2: Structural-Dynamics and Free Energy Calculations	7
IDDLncLoc: Subcellular Localization of LncRNAs Based on a Framework for Imbalanced Data Distributions	7
Multi-kernel Learning Fusion Algorithm Based on RNN and GRU for ASD Diagnosis and Pathogenic Brain Region Extraction	7
SMART v1.0: A Database for Small Molecules with Functional Implications in Plants	7
Identifying Protein Phosphorylation Site-Disease Associations Based on Multi-Similarity Fusion and Negative Sample Selection by Convolutional Neural Network	7
PmliHFM: Predicting Plant miRNA-lncRNA Interactions with Hybrid Feature Mining Network	7
iAmyP: A Multi-view Learning for Amyloidogenic Hexapeptides Identification Based on Sequence Least Squares Programming	7
CD47Binder: Identify CD47 Binding Peptides by Combining Next-Generation Phage Display Data and Multiple Peptide Descriptors	6
CRBP-HFEF: Prediction of RBP-Binding Sites on circRNAs Based on Hierarchical Feature Expansion and Fusion	6
Dual Attention Mechanisms and Feature Fusion Networks Based Method for Predicting LncRNA-Disease Associations	6
Discovery of a Natural Product with Potent Efficacy Against SARS-CoV-2 by Drug Screening	6
AMPFLDAP: Adaptive Message Passing and Feature Fusion on Heterogeneous Network for LncRNA-Disease Associations Prediction	6
In silico Methods for Identification of Potential Therapeutic Targets	6
MTGGF: A Metabolism Type-Aware Graph Generative Model for Molecular Metabolite Prediction	6
Predicting Drug Synergy and Discovering New Drug Combinations Based on a Graph Autoencoder and Convolutional Neural Network	6
Combining Global-Constrained Concept Factorization and a Regularized Gaussian Graphical Model for Clustering Single-Cell RNA-seq Data	6

The Application of Convolutional Neural Network Model in Diagnosis and Nursing of MR Imaging in Alzheimer's Disease	6
NPI-HGNN: A Heterogeneous Graph Neural Network-Based Approach for Predicting ncRNA-Protein Interactions	6