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 2021-08-01 to 2025-08-01.)

Article	Citations
OTNet: A CNN Method Based on Hierarchical Attention Maps for Grading Arteriosclerosis of Fundus Images with Small Samples	126
Unraveling Brain Synchronisation Dynamics by Explainable Neural Networks using EEG Signals: Application to Dyslexia Diagnosis	60
Construction of a Pearson- and MIC-Based Co-expression Network to Identify Potential Cancer Genes	58
DP-ID: Interleaving and Denoising to Improve the Quality of DNA Storage Image	52
Deep Clustering-Based Metabolic Stratification of Non-Small Cell Lung Cancer Patients Through Integration of Somatic Mutation Profile and Network Propagation Algorithm	46
Automated Brain Tumor Classification and Grading Using Multi-scale Graph Neural Network with Spatio-Temporal Transformer Attention Through MRI Scans	45
ResDeepSurv: A Survival Model for Deep Neural Networks Based on Residual Blocks and Self-attention Mechanism	45
CA-UNet Segmentation Makes a Good Ischemic Stroke Risk Prediction	39
Computational Study of Methionine Methylation Process Catalyzed by SETD3	39
An Integrated TCN-CrossMHA Model for Predicting circRNA-RBP Binding Sites	36
DCPPS: Prediction of Kinase-Specific Phosphorylation Sites Using Dynamic Embedding and Cross-Representation Interaction	30
PDDGCN: A Parasitic Disease–Drug Association Predictor Based on Multi-view Fusion Graph Convolutional Network	27
Differential Diagnosis of DCIS and Fibroadenoma Based on Ultrasound Images: a Difference-Based Self-Supervised Approach	25
Cervical Cancer Classification From Pap Smear Images Using Deep Convolutional Neural Network Models	23
Machine Learning Accelerates De Novo Design of Antimicrobial Peptides	23
AMFCL: Predicting miRNA-Disease Associations Through Adaptive Multi-source Modality Fusion and Contrastive Learning	22
A Domain Adaptive Interpretable Substructure-Aware Graph Attention Network for Drug–Drug Interaction Prediction	21
Development of Electrochemical Biosensor for miR204-Based Cancer Diagnosis	21
Diagnosis of Pancreatic Cancer Using miRNA30e Biosensor	20
dbMisLoc: A Manually Curated Database of Conditional Protein Mis-localization Events	19
Adaptive Multi-Kernel Graph Neural Network for Drug-Drug Interaction Prediction	19
BiGM-lncLoc: Bi-level Multi-Graph Meta-Learning for Predicting Cell-Specific Long Noncoding RNAs Subcellular Localization	19
ViruSeg: Harnessing the Power of Large Language-Image Model for Enhanced Virus Image Segmentation	17
Identifying Lymph Node Metastasis-Related Factors in Breast Cancer Using Differential Modular and Mutational Structural Analysis	17
Cell Fate Dynamics Reconstruction Identifies TPT1 and PTPRZ1 Feedback Loops as Master Regulators of Differentiation in Pediatric Glioblastoma-Immune Cell Networks	16

Development of an Expert-Level Right Ventricular Abnormality Detection Algorithm Based on Deep Learning	16
Developing a Novel Methodology by Integrating Deep Learning and HMM for Segmentation of Retinal Blood Vessels in Fundus Images	16
EfficientNet-resDDSC: A Hybrid Deep Learning Model Integrating Residual Blocks and Dilated Convolutions for Inferring Gene Causality in Single-Cell Data	14
OptimDase: An Algorithm for Predicting DNA Binding Sites with Combined Feature Encoding	13
Single-Cell Transcriptome Analysis Reveals the Role of Pancreatic Secretome in COVID-19 Associated Multi-organ Dysfunctions	13
A Multi-view Molecular Pre-training with Generative Contrastive Learning	13
A Hierarchical Error Correction Strategy for Text DNA Storage	13
Drug Sensitivity Prediction Based on Multi-stage Multi-modal Drug Representation Learning	12
CR-deal: Explainable Neural Network for circRNA-RBP Binding Site Recognition and Interpretation	12
Exploring Novel Fentanyl Analogues Using a Graph-Based Transformer Model	11
MFFBi-Unet: Merging Dynamic Sparse Attention and Multi-scale Feature Fusion for Medical Image Segmentation	11
scEM: A New Ensemble Framework for Predicting Cell Type Composition Based on scRNA-Seq Data	10
Review of Progress in Diagnostic Studies of Autism Spectrum Disorder Using Neuroimaging	10
Transformative Deep Neural Network Approaches in Kidney Ultrasound Segmentation: Empirical Validation with an Annotated Dataset	10
scVAEBGM: Clustering Analysis of Single-Cell ATAC-seq Data Using a Deep Generative Model	10
Plant lncRNA-miRNA Interaction Prediction Based on Counterfactual Heterogeneous Graph Attention Network	10
Correction to: Machine Learning Accelerates De Novo Design of Antimicrobial Peptides	9
DCDA: CircRNA–Disease Association Prediction with Feed-Forward Neural Network and Deep Autoencoder	9
Exploring the Molecular Basis of Substrate and Product Selectivities of Nocardicin Bifunctional Thioesterase	9
Construction and Application of Traditional Chinese Medicine Knowledge Graph Based on Large Language Model	9
easyMF: A Web Platform for Matrix Factorization-Based Gene Discovery from Large-scale Transcriptome Data	9
Protein Multiple Conformation Prediction Using Multi-Objective Evolution Algorithm	9
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
DOTAD: A Database of Therapeutic Antibody Developability	8
MVGCNMDA: Multi-view Graph Augmentation Convolutional Network for Uncovering Disease-Related Microbes	8
Improving the Prediction of Potential Kinase Inhibitors with Feature Learning on Multisource Knowledge	8
Biomarker Identification in Membranous Nephropathy Using a Long Non-coding RNA-Mediated Competitive Endogenous RNA Network	8
iAmyP: A Multi-view Learning for Amyloidogenic Hexapeptides Identification Based on Sequence Least Squares Programming	7
Correction to: HD5 and LL‑37 Inhibit SARS‑CoV and SARS‑CoV‑2 Binding to Human ACE2 by Molecular Simulation	7
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
IDDLncLoc: Subcellular Localization of LncRNAs Based on a Framework for Imbalanced Data Distributions	7
BMRI-NET: A Deep Stacked Ensemble Model for Multi-class Brain Tumor Classification from MRI Images	7
Identifying Protein Phosphorylation Site-Disease Associations Based on Multi-Similarity Fusion and Negative Sample Selection by Convolutional Neural Network	7
IHDFN-DTI: Interpretable Hybrid Deep Feature Fusion Network for Drug–Target Interaction Prediction	7
Multi-kernel Learning Fusion Algorithm Based on RNN and GRU for ASD Diagnosis and Pathogenic Brain Region Extraction	7
PmliHFM: Predicting Plant miRNA-lncRNA Interactions with Hybrid Feature Mining Network	7
A Review of Parallel Implementations for the Smith–Waterman Algorithm	7
SMART v1.0: A Database for Small Molecules with Functional Implications in Plants	7
CHL-DTI: A Novel High–Low Order Information Convergence Framework for Effective Drug–Target Interaction Prediction	7
CRBP-HFEF: Prediction of RBP-Binding Sites on circRNAs Based on Hierarchical Feature Expansion and Fusion	7
Discovery of a Natural Product with Potent Efficacy Against SARS-CoV-2 by Drug Screening	6
Dual Attention Mechanisms and Feature Fusion Networks Based Method for Predicting LncRNA-Disease Associations	6
Predicting Drug Synergy and Discovering New Drug Combinations Based on a Graph Autoencoder and Convolutional Neural Network	6
CD47Binder: Identify CD47 Binding Peptides by Combining Next-Generation Phage Display Data and Multiple Peptide Descriptors	6
RicENN: Prediction of Rice Enhancers with Neural Network Based on DNA Sequences	6
MTGGF: A Metabolism Type-Aware Graph Generative Model for Molecular Metabolite Prediction	6
stGNN: Spatially Informed Cell-Type Deconvolution Based on Deep Graph Learning and Statistical Modeling	6
NPI-HGNN: A Heterogeneous Graph Neural Network-Based Approach for Predicting ncRNA-Protein Interactions	6

A Novel Deep Learning Model for Medical Image Segmentation with Convolutional Neural Network and Transformer	6
In silico Methods for Identification of Potential Therapeutic Targets	6
Combining Global-Constrained Concept Factorization and a Regularized Gaussian Graphical Model for Clustering Single-Cell RNA-seq Data	6