Jake D. Jones Source Confirmed

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

Researcher

University of Arkansas at Fayetteville

faculty

10 h-index 37 pubs 541 cited

Research Areas

Medical Imaging Techniques and Applications Advanced Neural Network Applications Dermatology and Skin Diseases Computational Physics and Python Applications Immune Response and Inflammation Child and Adolescent Health

Links

ORCID Lab Website

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OverviewAI-generated summary

Jake D. Jones' research focuses on the intersection of medical imaging, computational analysis, and biological processes. His recent publications investigate the quantification of collagen microstructure in skin during mechanical loading, the automated extraction of wound healing biomarkers using convolutional neural networks, and the analysis of age-related changes in skin structure and mechanical function. Jones also studies spatter transport in laser powder bed fusion machines using computational and experimental methods. He has published 37 papers, accumulating 541 citations and an h-index of 10. Jones collaborates with several faculty members at the University of Arkansas at Fayetteville, including Kyle P. Quinn, Alan E. Woessner, Marcos R. Rodriguez, and Michael J. Blair.

Metrics

  • h-index: 10
  • Publications: 37
  • Citations: 541

Selected Publications

  • Understanding Skin Wound Healing Dynamics Through AI-Powered Analysis of Label-free Multiphoton Imaging (2025) DOI
  • Quantification of age-related changes in the structure and mechanical function of skin with multiscale imaging (2024) DOI
  • Quantifying age-related changes in the structure and mechanical function of skin with multiscale imaging (2022) DOI
  • Multimodal characterization of skin wound healing in vivo using label-free multiphoton microscopy (2022) DOI
  • Quantifying 3D tissue kinematics though second harmonic generation microscopy of skin during mechanical loading (2021) DOI
  • Three-Dimensional Quantification of Collagen Microstructure During Tensile Mechanical Loading of Skin (2021) DOI
  • Automated Extraction of Skin Wound Healing Biomarkers From In Vivo Label‐Free Multiphoton Microscopy Using Convolutional Neural Networks (2021) DOI

Collaborators

Researchers in the database who share publications

Kyle P. Quinn University of Arkansas at Fayetteville 6 shared publications Alan E. Woessner University of Arkansas at Fayetteville 4 shared publications Marcos R. Rodriguez University of Arkansas at Fayetteville 3 shared publications Michael J. Blair University of Arkansas at Fayetteville 1 shared publication

Similar Researchers

Based on overlapping research topics

Marcos R. Rodriguez University of Arkansas at Fayetteville
Medical Imaging Techniques and Applications Advanced Neural Network Applications Dermatology and Skin Diseases
Good match 3 shared topics
Katelyn Ragland University of Arkansas for Medical Sciences
Medical Imaging Techniques and Applications Advanced Neural Network Applications Child and Adolescent Health
Good match 3 shared topics
Elizabeth Adeogun University of Arkansas at Fayetteville
Medical Imaging Techniques and Applications Advanced Neural Network Applications Immune Response and Inflammation
Good match 3 shared topics
M. Emre Celebi University of Central Arkansas
Medical Imaging Techniques and Applications Advanced Neural Network Applications Dermatology and Skin Diseases
Good match 3 shared topics
Kyle P. Quinn University of Arkansas at Fayetteville
Medical Imaging Techniques and Applications Advanced Neural Network Applications Dermatology and Skin Diseases
Good match 3 shared topics
David A. Kilgore University of Arkansas for Medical Sciences
Medical Imaging Techniques and Applications Immune Response and Inflammation Child and Adolescent Health
Good match 3 shared topics