Interdisciplinary Sciences-Computational Life Sciences

Papers
(The H4-Index of Interdisciplinary Sciences-Computational Life Sciences is 18. 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 2021-10-01 to 2025-10-01.)
ArticleCitations
AttResAMD: An Attention-Driven Deep Learning Framework for Expert-Level Automated Classification of Age-Related Macular Degeneration from Fundus Photography64
Parameter Estimation in Cellular Radiation Effects Using PSO-SQP and GA-SQP Hybrid Methods60
m6ADP-GCNPUAS: m6A-Disease Prediction via Graph Convolutional Network and Positive-Unlabeled Learning with Self-Adaptive Sampling56
Construction of a Pearson- and MIC-Based Co-expression Network to Identify Potential Cancer Genes47
Unraveling Brain Synchronisation Dynamics by Explainable Neural Networks using EEG Signals: Application to Dyslexia Diagnosis46
DP-ID: Interleaving and Denoising to Improve the Quality of DNA Storage Image46
Deep Clustering-Based Metabolic Stratification of Non-Small Cell Lung Cancer Patients Through Integration of Somatic Mutation Profile and Network Propagation Algorithm41
Differential Diagnosis of DCIS and Fibroadenoma Based on Ultrasound Images: a Difference-Based Self-Supervised Approach35
Computational Study of Methionine Methylation Process Catalyzed by SETD327
An Integrated TCN-CrossMHA Model for Predicting circRNA-RBP Binding Sites25
ResDeepSurv: A Survival Model for Deep Neural Networks Based on Residual Blocks and Self-attention Mechanism22
PDDGCN: A Parasitic Disease–Drug Association Predictor Based on Multi-view Fusion Graph Convolutional Network21
CA-UNet Segmentation Makes a Good Ischemic Stroke Risk Prediction21
Automated Brain Tumor Classification and Grading Using Multi-scale Graph Neural Network with Spatio-Temporal Transformer Attention Through MRI Scans20
DCPPS: Prediction of Kinase-Specific Phosphorylation Sites Using Dynamic Embedding and Cross-Representation Interaction20
Cervical Cancer Classification From Pap Smear Images Using Deep Convolutional Neural Network Models19
Developing a Novel Methodology by Integrating Deep Learning and HMM for Segmentation of Retinal Blood Vessels in Fundus Images19
AMFCL: Predicting miRNA-Disease Associations Through Adaptive Multi-source Modality Fusion and Contrastive Learning19
Diagnosis of Pancreatic Cancer Using miRNA30e Biosensor18
A Domain Adaptive Interpretable Substructure-Aware Graph Attention Network for Drug–Drug Interaction Prediction18
ViruSeg: Harnessing the Power of Large Language-Image Model for Enhanced Virus Image Segmentation18
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