Computers in Biology and Medicine

Papers
(The H4-Index of Computers in Biology and Medicine is 88. 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Editorial Board517
Vectorial-based analysis of dual-tracer PET imaging: A proof of concept472
A self-supervised COVID-19 CT recognition system with multiple regularizations454
Discrete element method-based simulation system for predicting natural stone evacuation pathways in patients with urolithiasis425
A novel Harris Hawks Optimization-based clustering method for elucidating genetic associations in osteoarthritis and Diverse Cancer Types419
Prediction of protein N-terminal acetylation modification sites based on CNN-BiLSTM-attention model370
AIScholar: An OpenFaaS-enhanced cloud platform for intelligent medical data analytics368
Discrepancy-based diffusion models for lesion detection in brain MRI326
Pharmacophore-guided computational modeling of quinolone-ATPase conjugate inhibitors targeting DNA GyrB subunit of Staphylococcus aureus322
Molecular modelling and experimental validation identified a new therapeutic inhibitor of toxoplasmosis308
Corrigendum to “Unraveling the molecular landscape of non-small cell lung cancer: Integrating bioinformatics and statistical approaches to identify biomarkers and drug repurposing” [Comput. Biol. Med.301
Identification of potential agonist-like molecules for α2-adrenergic receptor by multi-layer virtual screening to combat sinusitis299
Editorial Board294
Computational prediction of protein folding rate using structural parameters and network centrality measures288
Data-driven discovery of sparse dynamical model of cardiovascular system for model predictive control260
Dual-Stream Subspace Clustering Network for revealing gene targets in Alzheimer's disease255
A computational model of the effects of macronutrients absorption and physical exercise on hormonal regulation and metabolic homeostasis244
Two-stage error detection to improve electron microscopy image mosaicking234
Hierarchical cumulative network for unsupervised medical image registration229
Multi-constraint point set registration with redundant point removal for the registration of coronary arteries226
A method for predicting linear and conformational B-cell epitopes in an antigen from its primary sequence215
Context encoder transfer learning approaches for retinal image analysis211
Stack-AAgP: Computational prediction and interpretation of anti-angiogenic peptides using a meta-learning framework207
Identification of JUN as determinant of osteoarthritis and its inhibition by the Chinese herbal formulae Zhuanggu Huoxue Tang203
Identifying indications for novel drugs using electronic health records201
Diffuse tumors: Molecular determinants shared by different cancer types198
Development and validation of a neutrophil extracellular traps-related gene signature for lower-grade gliomas193
The role of the extracellular matrix in the reduction of lateral force transmission in muscle bundles: A finite element analysis191
Identification of anti-cancer organometallic compounds by inhibition of BCL-2/Bax interactions185
Carotid single- and dual-layer stents reduce the wall adhesion of platelets by influencing flow and cellular transport180
Integrating CNN and Bi-LSTM for protein succinylation sites prediction based on Natural Language Processing technique175
A systematic review on the state-of-the-art strategies for protein representation173
Quantifying the influence of combined lung and kidney support using a cardiovascular model and sensitivity analysis-informed parameter identification164
A Three-branch Jointed Feature and Topology Decoder guided by game-theoretic interactions for temporomandibular joint segmentation156
Dynamical pattern of successive bits to predict the outcomes of the SSRI and rTMS depression therapies using EEG signals155
A deep learning model combining convolutional neural networks and a selective kernel mechanism for SSVEP-Based BCIs151
Automated identification of patient subgroups: A case-study on mortality of COVID-19 patients admitted to the ICU149
Functional identification and prediction of lncRNAs in esophageal cancer145
DeepSMR: Decoding high-complex motor imagery via subject-dependent multi-feature refinement in deep convolutional networks140
Unraveling the complexities of pathological voice through saliency analysis140
Artificial vascular image generation using blood vessel texture maps139
Artificial intelligence for identification of candidates for device-aided therapy in Parkinson's disease: DELIST-PD study137
A partially shared joint clustering framework for detecting protein complexes from multiple state-specific signed interaction networks135
Improved predictive diagnosis of diabetic macular edema based on hybrid models: An observational study135
Gene-related Parkinson's disease diagnosis via feature-based multi-branch octave convolution network128
Non-same-scale feature attention network based on BPD for medical image segmentation124
Dynamic topography analysis of the cornea and its application to the diagnosis of keratoconus123
Reversing skin cancer adversarial examples by multiscale diffusive and denoising aggregation mechanism121
Enhancing cell instance segmentation in scanning electron microscopy images via a deep contour closing operator120
Deriving a suitable schedule through robust H∞ and sliding mode control methods for cancer treatment using chemotherapy & anti-angiogenic drugs113
Longitudinal dementia trajectories for Alzheimer’s Disease characterization and prediction113
Classical Simulations on Quantum Computers: Interface-Driven Peptide Folding on Simulated Membrane Surfaces112
Structure-based design of promising natural products to inhibit thymidylate kinase from Monkeypox virus and validation using free energy calculations109
Beyond accuracy: The need for explainable AI in biomedical voice technology108
Dynamic Statistical Attention-based lightweight model for Retinal Vessel Segmentation: DyStA-RetNet108
Bayesian parameter inference and uncertainty-informed sensitivity analysis in a 0D cardiovascular model for intraoperative hypotension108
Automatic segmentation of intraluminal thrombosis of abdominal aortic aneurysms from CT angiography using a mixed-scale-driven multiview perception network (M2Net) model108
Fine-grained food image classification and recipe extraction using a customized deep neural network and NLP107
You get the best of both worlds? Integrating deep learning and traditional machine learning for breast cancer risk prediction107
DRBpred: A sequence-based machine learning method to effectively predict DNA- and RNA-binding residues105
Hybrid neural–mechanistic modeling of leptospirosis transmission with environmental drivers: Evidence from Thailand105
Synergistic eigenanalysis of covariance and Hessian matrices for enhanced binary classification on health datasets103
Semi-empirical Anticoagulation Model (SAM): Dose prediction during warfarin therapy103
LSDVvac: An immunoinformatics database for vaccine design against lumpy skin disease virus102
SSMT-PANBERT: A single-stage multitask model for phenotype extraction and assertion negation detection in unstructured clinical text102
CARES: A Corpus for classification of Spanish Radiological reports102
Prediction of lung cancer metastasis by gene expression101
Enhancing targeted tumor treatment: A novel fuzzy logic framework for precision drug delivery strategy selection101
JoCoRank: Joint correlation learning with ranking similarity regularization for imbalanced fetal brain age regression100
ST-SRPerf: Continuous spatiotemporal representation for perfusion MRI super-resolution through neural ODE and implicit neural representation100
Class-Specific Distribution Alignment for semi-supervised medical image classification100
Prediction of colorectal cancer based on taxonomic levels of microorganisms and discovery of taxonomic biomarkers using the Grouping-Scoring-Modeling (G-S-M) approach100
Numerical analysis of coil designs to expedite fracture healing using dielectrophoresis with S method99
Deep-learning-based real-time individualization for reduce-order haemodynamic model98
Counting on AR: EEG responses to incongruent information with real-world context97
An efficient model for extracting respiratory and blood oxygen saturation data from photoplethysmogram signals by removing motion artifacts using heuristic-aided ensemble learning model97
SURVS: A Swin-Unet and game theory-based unsupervised segmentation method for retinal vessel97
A comprehensive analysis of single-cell RNA transcriptome reveals unique SPP1+ chondrocytes in human osteoarthritis97
MulStack: An ensemble learning prediction model of multilabel mRNA subcellular localization95
A general sample-weighted framework for epileptic seizure prediction94
Multiscale differential geometry learning of networks with applications to single-cell RNA sequencing data92
Structure, sensing and control of pneumatic upper limb rehabilitation system: Review and prospect91
Eudesma-4(15), 7-dien-1-β-ol, A promising natural drug candidate for Alzheimer's disease targeting the NMDA pathway: GC-MS identification, molecular docking, pharmacokinetic and molecular dynamic anal90
Revised NMS-driven pipeline for heart valve regurgitation and Kawasaki disease coronary aneurysm localization90
A computational study of venom as drug library: Discovery of multifunctional astacin-like metalloproteases from Androctonus zagrosensis venom gland transcriptome90
An efficient image segmentation method for skin cancer imaging using improved golden jackal optimization algorithm89
DE-JANet: A unified network based on dual encoder and joint attention for Alzheimer’s disease classification using multi-modal data88
Optimization of deep learning models for inference in low resource environments88
KS-TMIL: A K-Stage Transformer approach with multiple instance learning model for ovarian cancer subtype classification88
Identifying potent natural inhibitors of the hepatitis C virus NS3 protein using multiple computational and molecular approaches88
Anemia prediction using gene expression programming (GEP) and explainable artificial intelligence approaches88
KC-UNIT: Multi-kernel conversion using unpaired image-to-image translation with perceptual guidance in chest computed tomography imaging88
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