logo

For the Inventor, By the Inventor

Schenectady, NY, United States of America

Zhye Yin

This inventor holds 25 USPTO granted patents and 1 published patent application and 1 EPO patent, primarily in Computed Tomography Imaging. Top assignees: General Electric Company, Ge Precision Healthcare LLC, Leland Stanford Junior University. Active years: 2007-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Zhye Yin. Retrieved from https://idiyas.com/inventor/zhye-yin

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

Calculating rank
USPTO Granted Patents = 25 

% Patents Active = 92.0

 

Average Co-Inventor Count = 4.3

ph-index = 9

Forward Citations = 214(Granted Patents)


Location History:

  • Schenectady, NY (US) (2007 - 2021)
  • Niskayuna, NY (US) (2023)

Company Filing History:

goldMedal21 out of 52,404 
 
General Electric Company
 patents
silverMedal4 out of 1,431 
 
Ge Precision Healthcare LLC
 patents
bronzeMedal2 out of 5,519 
 
Leland Stanford Junior University
 patents
where one patent can have more than one assignee

Years Active: 2007-2025

Loading Chart...
Loading Chart...
Areas of Expertise:
Image Reconstruction
Computed Tomography
Deep Learning
X-ray Imaging
Dose Estimation
Photon-Count Splitting
Adaptive Blending
Frequency Characteristics
Projection Data
Multi-source Geometry
Streak Reduction
Quality Evaluation
25 patents (USPTO):Explore Patents
1. 12462347 - Generation of image denoising training data via photon-count splitting (2025-11-04),
2. 12205253 - Systems and methods for adaptive blending in computed tomography imaging (2025-01-21),
3. 12169885 - Computer processing techniques for streak reduction in computed tomography images (2024-12-17),
4. 11810276 - Systems and methods for adaptive blending in computed tomography imaging (2023-11-07),
5. 10896352 - Deep learning medical systems and methods for image reconstruction and quality evaluation (2021-01-19),
6. 10565477 - Deep learning medical systems and methods for image reconstruction and quality evaluation (2020-02-18),
7. 10354171 - Deep learning medical systems and methods for image reconstruction and quality evaluation (2019-07-16),
8. 10213172 - Imaging method and system of tube voltage and current optimization (2019-02-26),
9. 10074038 - Deep learning medical systems and methods for image reconstruction and quality evaluation (2018-09-11),
10. 9326738 - Method and system for reduced dose X-ray imaging (2016-05-03),
11. 9237873 - Methods and systems for CT projection domain extrapolation (2016-01-19),
12. 9125286 - X-ray dose estimation technique (2015-09-01),
13. 9097642 - X-ray dose estimation technique (2015-08-04),
14. 9042512 - Multi-sector computed tomography image acquisition (2015-05-26),
15. 8615121 - Reconstruction of projection data to generate tomographic images having improved frequency characteristics (2013-12-24),

Title: Inventor Zhye Yin: Pioneering Innovations in Schenectady

Introduction: Zhye Yin is a renowned inventor based in Schenectady, NY, known for his groundbreaking contributions to various technological fields.

Latest Patents: Zhye Yin holds several patents in the areas of renewable energy, advanced materials, and sustainable technologies, showcasing his commitment to creating a more sustainable future.

Career Highlights: With a career spanning over two decades, Zhye Yin has worked with leading research institutions and companies to develop cutting-edge solutions that have revolutionized industries.

Collaborations: Throughout his career, Zhye Yin has collaborated with top scientists, engineers, and innovators, fostering a culture of creativity and excellence in all his projects.

Conclusion: Zhye Yin's passion for innovation and his dedication to pushing the boundaries of technology make him a true pioneer in the field of inventions.

Profile summary based on public USPTO records.
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]
Loading…