# Bioengineering

**Type:** Journals  
**Canonical URL:** https://scholariq.org/journals/bioengineering/

## Facts

| Field | Value |
| --- | --- |
| APC (USD) | 2,227 |
| Citations | 86,236 |
| h-index | 98 |
| Homepage | http://www.mdpi.com/journal/bioengineering |
| Open Access | true |
| ISSN-L | 2306-5354 |
| ISSNs | 2306-5354 |
| OpenAlex ID | https://openalex.org/S4210179121 |
| Publisher | Multidisciplinary Digital Publishing Institute |
| Works | 6,621 |

## Journal papers

Showing 12 of 14.

- [Advances in Medical Image Segmentation: A Comprehensive Review of Traditional, Deep Learning and Hybrid Approaches](https://scholariq.org/papers/advances-in-medical-image-segmentation-a-comprehensive-review-of-traditional/)
- [Mechanical Characterisation and Numerical Modelling of TPMS-Based Gyroid and Diamond Ti6Al4V Scaffolds for Bone Implants: An Integrated Approach for Translational Consideration](https://scholariq.org/papers/mechanical-characterisation-and-numerical-modelling-of-tpms-based-gyroid-and/)
- [An Open-Source COVID-19 CT Dataset with Automatic Lung Tissue Classification for Radiomics](https://scholariq.org/papers/an-open-source-covid-19-ct-dataset-with-automatic-lung-tissue-classification-for/)
- [Performance Evaluation of Deep Learning Models on Mammogram Classification Using Small Dataset](https://scholariq.org/papers/performance-evaluation-of-deep-learning-models-on-mammogram-classification-using/)
- [Leveraging Deep Learning for Fine-Grained Categorization of Parkinson’s Disease Progression Levels through Analysis of Vocal Acoustic Patterns](https://scholariq.org/papers/leveraging-deep-learning-for-fine-grained-categorization-of-parkinson-s-disease/)
- [Implementation of a Virtual Reality Based Digital-Twin Robotic Minimally Invasive Surgery Simulator](https://scholariq.org/papers/implementation-of-a-virtual-reality-based-digital-twin-robotic-minimally/)
- [Radiomics-Based Machine Learning Model for Predicting Overall and Progression-Free Survival in Rare Cancer: A Case Study for Primary CNS Lymphoma Patients](https://scholariq.org/papers/radiomics-based-machine-learning-model-for-predicting-overall-and-progression/)
- [Physical Stimulation Combined with Biomaterials Promotes Peripheral Nerve Injury Repair](https://scholariq.org/papers/physical-stimulation-combined-with-biomaterials-promotes-peripheral-nerve-injury/)
- [Spatiotemporal Modeling of Grip Forces Captures Proficiency in Manual Robot Control](https://scholariq.org/papers/spatiotemporal-modeling-of-grip-forces-captures-proficiency-in-manual-robot/)
- [Impact of Hamstring Graft on Hamstring Peak Torque and Maximum Effective Angle After Anterior Cruciate Ligament Reconstruction: An Exploratory and Preliminary Study](https://scholariq.org/papers/impact-of-hamstring-graft-on-hamstring-peak-torque-and-maximum-effective-angle/)
- [Correlating Grip Force Signals from Multiple Sensors Highlights Prehensile Control Strategies in a Complex Task-User System](https://scholariq.org/papers/correlating-grip-force-signals-from-multiple-sensors-highlights-prehensile/)
- [The Scores and Manner of Performing the Stand and Reach Test in Girls and Boys of Different Body Weight](https://scholariq.org/papers/the-scores-and-manner-of-performing-the-stand-and-reach-test-in-girls-and-boys/)

## Journal top topics

Showing 8 of 25.

- [3D Printing in Biomedical Research](https://scholariq.org/topics/3d-printing-in-biomedical-research/)
- [Bone Tissue Engineering Materials](https://scholariq.org/topics/bone-tissue-engineering-materials/)
- [Electrospun Nanofibers in Biomedical Applications](https://scholariq.org/topics/electrospun-nanofibers-in-biomedical-applications/)
- [Tissue Engineering and Regenerative Medicine](https://scholariq.org/topics/tissue-engineering-and-regenerative-medicine/)
- [AI in cancer detection](https://scholariq.org/topics/ai-in-cancer-detection/)
- [Radiomics and Machine Learning in Medical Imaging](https://scholariq.org/topics/radiomics-and-machine-learning-in-medical-imaging/)
- [EEG and Brain-Computer Interfaces](https://scholariq.org/topics/eeg-and-brain-computer-interfaces/)
- [Muscle activation and electromyography studies](https://scholariq.org/topics/muscle-activation-and-electromyography-studies/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.