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Qingdao University

USPTO Granted Patents = 33

% Expired Patents = 42.4

CIPO Patents = 5

EPO Patents = 8

Forward Citations = 7

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110 inventors (with patents filed for the assignee):

Rijun Gui (10 out of 10 patents)

Hui Jin (10 out of 10 patents)

Yujiao Sun (6 out of 6 patents)

4. Daolian Chen (5 out of 5 patents)

5. Xiaowen Jiang (5 out of 5 patents)

6. Zonghua Wang (4 out of 4 patents)

7. Xiangning Bu (3 out of 3 patents)

8. Yongxin Fu (3 out of 3 patents)

9. Yanzhi Xia (3 out of 4 patents)

10. Jianfei Xia (2 out of 2 patents)

11. Fangfang Cheng (2 out of 2 patents)

12. Changhai Xu (2 out of 2 patents)

13. Shangyong Li (1 out of 1 patent)

14. Hui Du (1 out of 3 patents)

15. Jing Wang (1 out of 17 patents)

Core Competencies:

Bionic Spinal Model

Superconducting Motor

Graphene Oxide Fiber

Chitosan-Based Hydrogel

Electrochemical Biosensor

Luminescent Material

Molybdenum Disulfide

Ratiometric Fluorescent Sensor

Nanocomposite

Photonic-Crystal

Thermosensitive Hydrogel

Anti-Tarnish Solution

33 patents: Sort by Forward Citations

1. 12658073 - Bionic spinal model (2026-06-16),

2. 12618905 - Superconducting motor quench detection method and apparatus based on rotational symmetry of motor (2026-05-05),

3. 12366012 - Alginate fiber and preparation method thereof (2025-07-22),

4. 12312707 - Preparation method for graphene oxide fiber, and fiber obtained thereby (2025-05-27),

5. 12252595 - Preparation method of 4D chitosan-based thermosensitive hydrogel (2025-03-18),

6. 12191772 - Direct current power supply system for urban rail transit cascaded direct-hanging stations (2025-01-07),

7. 12187899 - Method for improving alkali resistance and oxidation resistance of benzothiazole disperse dye (2025-01-07),

8. 12043921 - Method for preparing a fiber with spatial structure, the fiber prepared thereby and its use (2024-07-23),

9. 11987907 - Molybdenum disulfide/graphene/carbon composite material and use thereof (2024-05-21),

10. 11912893 - Tire anti-tarnish protective solution and preparation method thereof (2024-02-27),

11. 11293013 - Biomimetic affinity purification material and its application in chitosanases purification (2022-04-05),

12. 11203714 - Luminescent material and preparation method thereof (2021-12-21),

13. 11165367 - Single-stage three-phase voltage source inverter with a cascaded magnetic integrated switching inductor-capacitor network (2021-11-02),

14. 11128236 - Multi-winding single-stage multi-input boost type high-frequency link's inverter with simultaneous/time-sharing power supplies (2021-09-21),

15. 11105767 - Method for preparing dual-functional hybrid thin-film for self-calibration detection of tumor-derived exosomes (2021-08-31),

Company Overview

Qingdao University is a comprehensive institution located in Qingdao, China, known for its diverse academic offerings and research initiatives. The university specializes in various fields, including engineering, natural sciences, social sciences, and humanities. It emphasizes innovation and interdisciplinary collaboration, fostering advancements in technology and education. Qingdao University plays a significant role in regional development and contributes to the global academic community through its research and partnerships.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Oct 20 2026

33 Patents

#22 in Qingdao

#946 in China

#20,162 in the World

Qingdao University

Forward Citations = 7

110 inventors:

Rijun Gui (10 out of 10 patents)

Hui Jin (10 out of 10 patents)

Yujiao Sun (6 out of 6 patents)

4. Daolian Chen (5 out of 5 patents)

5. Xiaowen Jiang (5 out of 5 patents)

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