IEEE Reviews in Biomedical Engineering

Papers
(The median citation count of IEEE Reviews in Biomedical Engineering is 13. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
IEEE Engineering in Medicine and Biology Society Information246
IEEE Reviews in Biomedical Engineering (R-BME)241
Hypertension Diagnosis and Management in Africa Using Mobile Phones: A Scoping Review198
Principles and Operation of Virtual Brain Twins125
Multiphysics Computational Modelling of the Cardiac Ventricles97
Low Power Bio-Impedance Sensor Interfaces: Review and Electronics Design Methodology93
A Survey on Shape-Constraint Deep Learning for Medical Image Segmentation91
Challenges to the Development of the Next Generation of Self-Reporting Cardiovascular Implantable Medical Devices89
Radiomics and Deep Learning in Nasopharyngeal Carcinoma: A Review81
Lower-Limb Medical and Rehabilitation Exoskeletons: A Review of the Current Designs77
Integrating Multi-Omics Data With EHR for Precision Medicine Using Advanced Artificial Intelligence74
Graph Signal Processing, Graph Neural Network and Graph Learning on Biological Data: A Systematic Review73
Monitoring and Synchronization of Cardiac and Respiratory Traces in Magnetic Resonance Imaging: A Review73
A Review of Current Control and Decoupling Methods for MRI Transmit Arrays71
IEEE Reviews in Biomedical Engineering (R-BME)70
Toward the Development of User-Centered Neurointegrated Lower Limb Prostheses69
Electrophysiology-Based Closed Loop Optogenetic Brain Stimulation Devices: Recent Developments and Future Prospects65
IEEE Reviews in Biomedical Engineering (R-BME) Information60
Utilizing Neurons to Interrogate Cancer: Integrative Analysis of Cancer Omics Data With Deep Learning Models59
Contactless WiFi Sensing and Monitoring for Future Healthcare - Emerging Trends, Challenges, and Opportunities57
A Survey of Few-Shot Learning for Biomedical Time Series57
Analysis of Spectral Estimation Algorithms for Accurate Heart Rate and Respiration Rate Estimation Using an Ultra-Wideband Radar Sensor56
A Systematic Review on Methods and Tools for the In Situ Fenestration of Aortic Stent-Graft55
Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review53
Nanoparticle Enhanced Optical Biosensing Technologies for Prostate Specific Antigen Biomarker Detection53
Engineering Approaches for Breast Cancer Diagnosis: A Review53
Emerging Technologies Used in Health Management and Efficiency Improvement During Different Contact Tracing Phases Against COVID-19 Pandemic51
A Mapping Review of Real-Time Movement Sonification Systems for Movement Rehabilitation47
Epilepsy Detection From EEG Using Complex Network Techniques: A Review44
Respiratory Monitoring: Current State of the Art and Future Roads44
IEEE Reviews in Biomedical Engineering (R-BME) Information39
Recent Advances in Atherosclerotic Disease Screening Using Pervasive Healthcare36
DICOM Integration Libraries for Medical Image Interoperability: A Technical Review35
Phenocopying Glioblastoma: A Review34
External Cardiac Loop Recorders: Functionalities, Diagnostic Efficacy, Challenges and Opportunities32
Digital Health and Machine Learning Technologies for Blood Glucose Monitoring and Management of Gestational Diabetes32
A Review of Parallel Transmit Arrays for Ultra-High Field MR Imaging31
A Wearable Tele-Health System towards Monitoring COVID-19 and Chronic Diseases30
Virtual Reality Assisted Motor Imagery for Early Post-Stroke Recovery: A Review30
A Review of Wearable Multi-Wavelength Photoplethysmography30
Exhaled Breath Analysis: From Laboratory Test to Wearable Sensing29
Editorial A Message From the New Editor-in-Chief27
Editorial: A Message From the Outgoing Editor-in-Chief27
Table of Contents27
Review of Artificial Intelligence in Lung Nodule Risk Assessment26
Table of Contents26
A Comprehensive Survey of Foundation Models in Medicine25
Earable Multimodal Sensing and Stimulation: A Prospective Toward Unobtrusive Closed-Loop Biofeedback24
Hemodynamic Modeling, Medical Imaging, and Machine Learning and Their Applications to Cardiovascular Interventions23
Front Cover23
Review on Biomedical Sensors, Technologies and Algorithms for Diagnosis of Sleep Disordered Breathing: Comprehensive Survey23
Front Cover22
Glucose Fuel Cells: Electricity From Blood Sugar21
Toward Clinical Applications of Intelligent Robotic Ultrasound Systems20
Immunomechanobiology: Engineering the Activation and Function of Immune Cells With the Mechanical Signal of Fluid Shear Stress18
Recent Advances in Biosensors for Detection of COVID-19 and Other Viruses18
CMOS Time-to-Digital Converters for Biomedical Imaging Applications17
Unsupervised ECG Analysis: A Review17
What Ultrasound Can and Cannot Do in Implantable Medical Device Communications17
Uterus Modeling From Cell to Organ Level: Towards Better Understanding of Physiological Basis of Uterine Activity17
Artificial General Intelligence for Medical Imaging Analysis16
Artificial Intelligence Based Blood Pressure Estimation From Auscultatory and Oscillometric Waveforms: A Methodological Review16
Information and Communication Theoretical Understanding and Treatment of Spinal Cord Injuries: State-of-The-Art and Research Challenges16
Artificial Intelligence and Machine Learning for Improving Glycemic Control in Diabetes: Best Practices, Pitfalls, and Opportunities15
A Review of Recent Advances and Future Developments in Fetal Phonocardiography15
Uncertainties in the Analysis of Heart Rate Variability: A Systematic Review14
A Review of Image-Based Food Recognition and Volume Estimation Artificial Intelligence Systems14
Exploring the Potential of Stem Cell-Based Therapy for Aesthetic and Plastic Surgery13
Systematic Review of Advanced AI Methods for Improving Healthcare Data Quality in Post COVID-19 Era13
A Review of Techniques for Surface Electromyography Signal Quality Analysis13
Interpreting Deep Machine Learning Models: An Easy Guide for Oncologists13
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