LabCompass

Yuhyun Ji

Engineering · Purdue University West Lafayette

Early career · publishing since 2018

Publications

36

Citations

411

Est. group size

~15

Recurring co-author estimate

Active years

9

Publishing since 2018

Research summary
AI-generated

Yuhyun Ji's research focuses on using smartphone-based imaging and machine learning to extract detailed light-spectrum (hyperspectral) information from ordinary photographs, with applications in health monitoring such as blood hemoglobin and hemodynamic imaging. Related work spans mobile health diagnostics, vaccine adjuvant engineering, and bioprinted or edible materials for authentication and labeling purposes. This work sits at the intersection of imaging engineering, biotechnology, and low-cost mobile health tools.

Hyperspectral and spectral imagingMobile health (mHealth) diagnosticsMachine learning for image-based classificationVaccine adjuvant engineeringBioprinting and biomaterial authentication

Publication output has grown from near zero in 2017-2019 to a steadier pace of roughly 4-7 papers per year from 2022 onward, suggesting an overall increasing and now fairly steady level of activity.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 5.2/year recently
172018: 2 publications182019: 2 publications192020: 5 publications202021: 1 publication212022: 7 publications7222023: 6 publications232024: 4 publications242025: 6 publications252026: 3 publications26
Recent publications
Publishes in
  • ACS Sensors×2
  • PNAS Nexus×2
  • Advanced Materials Technologies×2
  • Blood×2
  • Biomedical Optics Express×2
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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