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
Computational Study of Methionine Methylation Process Catalyzed by SETD3	39
CA-UNet Segmentation Makes a Good Ischemic Stroke Risk Prediction	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
Machine Learning Accelerates De Novo Design of Antimicrobial Peptides	23
Cervical Cancer Classification From Pap Smear Images Using Deep Convolutional Neural Network Models	23
AMFCL: Predicting miRNA-Disease Associations Through Adaptive Multi-source Modality Fusion and Contrastive Learning	22
Development of Electrochemical Biosensor for miR204-Based Cancer Diagnosis	21
A Domain Adaptive Interpretable Substructure-Aware Graph Attention Network for Drug–Drug Interaction Prediction	21
Diagnosis of Pancreatic Cancer Using miRNA30e Biosensor	20
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
dbMisLoc: A Manually Curated Database of Conditional Protein Mis-localization Events	19
Identifying Lymph Node Metastasis-Related Factors in Breast Cancer Using Differential Modular and Mutational Structural Analysis	17
ViruSeg: Harnessing the Power of Large Language-Image Model for Enhanced Virus Image Segmentation	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
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
scEM: A New Ensemble Framework for Predicting Cell Type Composition Based on scRNA-Seq Data	10
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
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
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
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
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
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
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

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