Bernard Chen Data-verified

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

High Impact

Researcher

Last publication 2025 Last refreshed 2026-05-16

faculty

28 h-index 166 pubs 3,748 cited

Biography and Research Information

OverviewAI-generated summary

Bernard Chen's research interests encompass diverse areas, including medical modeling, biomechanics, and materials science. He has published work on the use of waste glass in alkali-activated materials, contributing to sustainable construction practices. His research also extends to predicting exercise-induced fatigue using data from wearable sensors and force plates, with a focus on developing user-independent estimation models.

In the medical field, Chen has investigated voxel-based dosimetry to predict treatment response and toxicity in hepatocellular carcinoma (HCC) patients undergoing Y90 radioembolization. He has also examined the accuracy and safety of Y90 microspheres for radioembolization therapy planning. Additionally, his work includes the development of polymeric fiber sensors for determining insertion forces and trajectory in cochlear implant procedures, with an emphasis on hearing preservation.

Chen's scholarship metrics include an h-index of 28, with 165 total publications and 3,694 total citations. He is designated as a highly cited researcher. He leads a research group and collaborates with Sharif Ullah and Zeqing Dong, both from the University of Central Arkansas.

Metrics

  • h-index: 28
  • Publications: 166
  • Citations: 3,748

Selected Publications

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

View all publications on OpenAlex →

Collaboration Network

108 Collaborators 33 Institutions 10 Countries

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