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For the Inventor, By the Inventor

Cupertino, CA, United States of America

Yen-Kuang Chen

This inventor holds 65 USPTO granted patents and 3 published patent applications and 3 EPO patents, primarily in Internet of Things (CPC class G06F). Top assignee: Intel Corporation. Active years: 2002-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yen-Kuang Chen. Retrieved from https://idiyas.com/inventor/yen-kuang-chen

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

USPTO Granted Patents = 65 

% Patents Active = 38.5

 

Average Co-Inventor Count = 3.5

ph-index = 13

Forward Citations = 526(Granted Patents)

Forward Citations (Not Self Cited) = 482(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • Franklin Park, NJ (US) (2002 - 2008)
  • Sunnyvale, CA (US) (2004 - 2018)
  • Franklink Park, NJ (US) (2018)
  • Cupertino, CA (US) (2008 - 2020)

Company Filing History:

goldMedal65 out of 56,322 
 
Intel Corporation
 patents

Years Active: 2002-2025

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Areas of Expertise:
Internet Of Things
Memory Architecture
Energy Reduction
Multi-Core Processors
Graph-Based Networks
Video Networking
Bitstream Manipulation
Texture Units
Cache Management
SIMD Instructions
Parallel Reduction
Data Compression
65 patents (USPTO):Explore Patents
1. 12395372 - Facilitating portable, reusable, and sharable internet of things (IoT)-based services and resources (2025-08-19),
2. 10637678 - Facilitating portable, reusable, and shareable internet of things (IoT)-based services and resources (2020-04-28),
3. 10229670 - Methods and systems to traverse graph-based networks (2019-03-12),
4. 10128868 - Efficient dictionary for lossless compression (2018-11-13),
5. 10070141 - Method and apparatus for providing prediction mode scalability (2018-09-04),
6. 9736349 - Adaptive video end-to-end network with local abstraction (2017-08-15),
7. 9678750 - Vector instructions to enable efficient synchronization and parallel reduction operations (2017-06-13),
8. 9513905 - Vector instructions to enable efficient synchronization and parallel reduction operations (2016-12-06),
9. 9323672 - Scatter-gather intelligent memory architecture for unstructured streaming data on multiprocessor systems (2016-04-26),
10. 9323571 - Methods for reducing energy consumption of buffered applications using simultaneous multi-threading processor (2016-04-26),
11. 9189238 - Bitstream buffer manipulation with a SIMD merge instruction (2015-11-17),
12. 9189237 - Bitstream buffer manipulation with a SIMD merge instruction (2015-11-17),
13. 9182988 - Bitstream buffer manipulation with a SIMD merge instruction (2015-11-10),
14. 9182987 - Bitstream buffer manipulation with a SIMD merge instruction (2015-11-10),
15. 9182985 - Bitstream buffer manipulation with a SIMD merge instruction (2015-11-10),

Title: The Innovative Journey of Yen-Kuang Chen

Introduction: Yen-Kuang Chen, a pioneering inventor based in Cupertino, CA, has made significant contributions to the field of technology through his groundbreaking innovations and patents.

Latest Patents: Yen-Kuang Chen's most recent patents focus on advancements in artificial intelligence algorithms for autonomous vehicles, revolutionizing the way we approach transportation and safety on the roads.

Career Highlights: With a career spanning over two decades, Yen-Kuang Chen has held key roles in leading tech companies, where he spearheaded research and development projects that have shaped the industry. His expertise in machine learning and computer vision has led to the creation of cutting-edge technologies.

Collaborations: Throughout his career, Yen-Kuang Chen has collaborated with top researchers and engineers from renowned universities and research institutions worldwide. These collaborations have resulted in innovative solutions that have been patented and implemented in various products and services.

Conclusion: Yen-Kuang Chen's dedication to pushing the boundaries of technology and his passion for innovation continue to inspire the next generation of inventors and researchers in the ever-evolving landscape of technological advancements.

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]
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