Hyou-Arm Joung

About Hyou-Arm Joung

Hyou-Arm Joung, With an exceptional h-index of 19 and a recent h-index of 17 (since 2020), a distinguished researcher at University of California, Los Angeles,

His recent articles reflect a diverse array of research interests and contributions to the field:

Peptide-based point-of-care serodiagnosis of Lyme disease enabled by deep-learning

Multiplexed quantification of biomarkers using deep learning-based fluorescent vertical flow assay

Deep Learning-based Kinetic Analysis in Paper-based Analytical Cartridges Integrated with Field-effect Transistors

A paper-based multiplexed serological test to monitor immunity against SARS-CoV-2 using machine learning

Deep learning-enhanced paper-based vertical flow assay for high-sensitivity troponin detection using nanoparticle amplification

Deep Learning‐Enabled Multiplexed Point‐of‐Care Sensor using a Paper‐Based Fluorescence Vertical Flow Assay (Small 51/2023)

Deep learning-enabled fluorescent point-of-care sensor for multiplexed quantification of biomarkers from serum

Deep-learning enabled point-of-care sensor for Lyme disease diagnosis

Hyou-Arm Joung Information

University

Position

___

Citations(all)

1741

Citations(since 2020)

1050

Cited By

1123

hIndex(all)

19

hIndex(since 2020)

17

i10Index(all)

25

i10Index(since 2020)

20

Email

University Profile Page

Google Scholar

Top articles of Hyou-Arm Joung

Peptide-based point-of-care serodiagnosis of Lyme disease enabled by deep-learning

2024/3/13

Multiplexed quantification of biomarkers using deep learning-based fluorescent vertical flow assay

2024/3/13

Deep Learning-based Kinetic Analysis in Paper-based Analytical Cartridges Integrated with Field-effect Transistors

arXiv preprint arXiv:2402.17209

2024/2/27

A paper-based multiplexed serological test to monitor immunity against SARS-CoV-2 using machine learning

arXiv preprint arXiv:2402.17774

2024/2/19

Deep learning-enhanced paper-based vertical flow assay for high-sensitivity troponin detection using nanoparticle amplification

arXiv preprint arXiv:2402.11195

2024/2/17

Deep Learning‐Enabled Multiplexed Point‐of‐Care Sensor using a Paper‐Based Fluorescence Vertical Flow Assay (Small 51/2023)

Small

2023/12

Deep learning-enabled fluorescent point-of-care sensor for multiplexed quantification of biomarkers from serum

2023/10/6

Deep-learning enabled point-of-care sensor for Lyme disease diagnosis

2023/9/28

Single-tier point-of-care serodiagnosis of Lyme disease

bioRxiv

2023/6/14

Computational optical sensor with a paper-based peptide panel assay for point-of-care testing of Lyme disease

2023/5/7

Fluorescence-based multiplexed point-of-care sensor using deep learning

2023/4/24

Computational paper-based vertical flow assay for Lyme disease diagnosis

2023/3/6

Based Computational Multi-Peptide Optical Sensor for Point-of-Care Testing of Lyme Disease

2022/10/17

System and method for measuring serum phosphate levels using portable reader device

2022/10/4

Computational sensing with a multiplexed flow assays for high-sensitivity analyte quantification

2022/9/22

Quantitative particle agglutination assay using mobile holographic imaging and neural networks

2022/5/15

Quantitative particle agglutination assay for point-of-care sensing using mobile holographic imaging and neural networks

2022/3/7

Serodiagnostic testing device and system for early-stage lyme disease using a multiplexed immunoassay

2021/12/9

Membrane strip sensor using expansion member

2021/7/20

See List of Professors in Hyou-Arm Joung University(University of California, Los Angeles)

Co-Authors

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