Bernard Chen Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Researcher

University of Central Arkansas

faculty

28 h-index 165 pubs 3,650 cited

Research Areas

Advanced Neural Network Applications Physical Activity and Health Radiotherapy and Dosimetry Cancer Treatment and Pharmacology Materials Science and Engineering Technology Adoption and User Behaviour Medical Imaging Techniques and Applications

Links

ORCID Research Group

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OverviewAI-generated summary

Bernard Chen's research interests span multiple domains, including the application of advanced computational techniques to predict physiological states and the development of sustainable materials. He has investigated data-driven approaches for real-time forecasting of exercise-induced fatigue, utilizing motion data from wearable sensors and force plates. This work aims to enhance understanding of physical performance and recovery through sensor-based monitoring.

Further research by Chen explores the use of waste materials in construction, specifically focusing on alkali-activated materials incorporating waste glass for more sustainable building practices. His work also extends into medical imaging and treatment planning, with publications on voxel-based dosimetry for predicting treatment response and toxicity in patients undergoing radioembolization therapy for hepatocellular carcinoma. He has also examined the safety and accuracy of specific therapeutic agents in this context.

Additional research areas include quantifying the impact of inadequate road infrastructure on the safety benefits of advanced driver-assistance systems (ADAS) and the development of polymeric fiber sensors for precise measurement of insertion forces and trajectory during cochlear implant procedures. Chen leads a research group and has a significant publication record, evidenced by his h-index of 28 and over 3,650 citations.

Metrics

h-index: 28
Publications: 165
Citations: 3,650

Selected Publications

Privacy-Preserving Secure Framework for Intelligent Transportation Systems (2025) DOI
Wineinformatics: Wine Score Prediction with Wine Price and Reviews (2024) DOI
Applying Neural Networks in Wineinformatics with the New Computational Wine Wheel (2023) DOI
Advanced Usage of the Computational Wine Wheel (2022) DOI
Introduction (2022) DOI
Wineinformatics (2022) DOI
Data Collection and Preprocessing (2022) DOI
Multi-Class, Multi-Label and Multi-Target in Wineinformatics (2022) DOI
Conclusion and Future Works (2022) DOI
Regression in Wineinformatics (2022) DOI
Classification in Wineinformatics (2022) DOI
Evaluation of Wine Judges (2022) DOI
Wineinformatics: Comparing and Combining SVM Models Built by Wine Reviews from Robert Parker and Wine Spectator for 95 + Point Wine Prediction (2022) DOI
Wineinformatics: Can Wine Reviews in Bordeaux Reveal Wine Aging Capability? (2021) DOI
Clustering in Wineinformatics with Attribute Selection to Increase Uniqueness of Clusters (2021) DOI