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Gyeongsan, South Korea

Yeungnam University

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USPTO Granted Patents = 57

% Expired Patents = 3.5

EPO Patents = 7

Forward Citations = 27

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123 inventors (with patents filed for the assignee):

Jeong Hoon Byeon (6 out of 7 patents)

Kwonhue Choi (4 out of 4 patents)

Gyu Sang Choi (4 out of 9 patents)

4. Seung Yeob Nam (3 out of 5 patents)

5. Dongjun Na (3 out of 3 patents)

6. Byeong Seon Jeong (3 out of 4 patents)

7. You Ra Kang (3 out of 4 patents)

8. Jung Ae Kim (3 out of 4 patents)

9. Hyun Kwang Shin (3 out of 3 patents)

10. Yong Wan Park (3 out of 5 patents)

11. Jeong Sook Eom (3 out of 3 patents)

12. Gun Zung Kim (3 out of 3 patents)

13. Jae-Ryong Kim (3 out of 3 patents)

14. Eok-Cheon Kim (3 out of 3 patents)

15. Jin Young Jung (2 out of 4 patents)

Core Competencies:

Artificial Neural Networks

Muscle Diseases

Antibacterial Composition

LiDAR

Image Segmentation

Bioaerosols

Nanocomposite

SARS-CoV-2

Ultrasonic Sensor

Pharmaceutical Composition

Tissue Regeneration

Supercapacitor Electrodes

57 patents: Sort by Forward Citations

1. 12749312 - Apparatus and method for generating video descriptions based on artificial neural networks (2026-09-29),

2. 12740990 - Composition containing homoharringtonine as active ingredient for preventing or treating muscle diseases (2026-09-22),

3. 12640777 - Method for integrating IRS system into mobile device, and IRS system (2026-05-26),

4. 12576057 - Antibacterial and biofilm formation-inhibiting composition containing myristoleic acid as active ingredient (2026-03-17),

5. 12523938 - Method for setting of semiconductor manufacturing parameter and computing device for executing the method (2026-01-13),

6. 12520846 - Nanocomposite preparation apparatus (2026-01-13),

7. 12471884 - Bladder monitoring device and method using ultrasonic sensor (2025-11-18),

8. 12441236 - Active notice device for safety of vehicle and pedestrian (2025-10-14),

9. 12416709 - Method and apparatus for removing LiDAR point cloud noise (2025-09-16),

10. 12379246 - Detector of terahertz band, receiver having the same, and imaging system using the same (2025-08-05),

11. 12272065 - Apparatus and method for image segmentation (2025-04-08),

12. 12192368 - User authentication method and unmanned delivery system based on user authentication (2025-01-07),

13. 12091748 - Method for forming ruthenium thin film (2024-09-17),

14. 12090039 - Biomimetic artificial bladder and method for controlling same (2024-09-17),

15. 12083093 - Composition for preventing or treating cellular senescence-related diseases comprising salinomycin as effective component (2024-09-10),

Company Overview

Yeungnam University, located in Gyeongsan, South Korea, is a prominent institution specializing in biomedical engineering. The university focuses on advanced research in areas such as artificial neural networks, muscle diseases, and antibacterial compositions. Additionally, it explores innovative technologies including LiDAR, image segmentation, and bioaerosols. Yeungnam University is committed to addressing contemporary health challenges, including those posed by SARS-CoV-2, through its interdisciplinary research initiatives and technological advancements.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 27 2026

57 Patents

#2 in Gyeongsan

#293 in South Korea

#12,581 in the World

Gyeongsan, South Korea

Yeungnam University

Forward Citations = 27

123 inventors:

Jeong Hoon Byeon (6 out of 7 patents)

Kwonhue Choi (4 out of 4 patents)

Gyu Sang Choi (4 out of 9 patents)

4. Seung Yeob Nam (3 out of 5 patents)

5. Dongjun Na (3 out of 3 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Yeungnam University. Retrieved from https://idiyas.com/company/yeungnam-university

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]

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