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For the Inventor, By the Inventor

Newton, MA, United States of America

Yi-Qiao Song

This inventor holds 72 USPTO granted patents and 9 published patent applications and 6 EPO patents, primarily in Nuclear Magnetic Resonance (CPC class G01R). Top assignees: Schlumberger Technology Corporation, Harvard College, Onesubsea IP UK Limited. Active years: 2002-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yi-Qiao Song. Retrieved from https://idiyas.com/inventor/yi-qiao-song

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

USPTO Granted Patents = 72 

% Patents Active = 91.7

 

Average Co-Inventor Count = 3.1

ph-index = 10

Forward Citations = 297(Granted Patents)

Forward Citations (Not Self Cited) = 262(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • Ridgefield, CT (US) (2002 - 2011)
  • Newton, MA (US) (2013 - 2021)
  • Newton Center, MA (US) (2012 - 2024)

Company Filing History:

goldMedal69 out of 10,746 
 
Schlumberger Technology Corporation
 patents
silverMedal1 out of 3,075 
 
Harvard College
 patents
bronzeMedal1 out of 244 
 
Onesubsea IP UK Limited
 patents
4. 2 out of 834,513 
Other
 patents
where one patent can have more than one assignee

Years Active: 2002-2025

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Areas of Expertise:
NMR Characterization
Downhole Logging
Fluid Analysis
Magnet Design
Subsea Infrastructure
Hydrocarbon Fluids
Measurement Techniques
Imaging Methods
Multi-Dimensional NMR
Signal Processing
Chemical Species Identification
Oil Sample Analysis
72 patents (USPTO):Explore Patents
1. 12253646 - Intelligent data acquisition for wireline logging (2025-03-18),
2. 12092626 - Characterization of polar species in reservoir fluids (2024-09-17),
3. 11965844 - Methods and systems for characterizing a porous rock sample employing combined capillary pressure and NMR measurements (2024-04-23),
4. 11947069 - Adaptive downhole acquisition system (2024-04-02),
5. 11828900 - Elastic adaptive downhole acquisition system (2023-11-28),
6. 11754546 - Methods and systems for crude oil blending with quality and composition monitoring and control (2023-09-12),
7. 11650347 - Fast measurement and interpretation of downhole multi-dimensional measurement (2023-05-16),
8. 11543556 - NMR characterization and monitoring of drilling fluids (2023-01-03),
9. 11506810 - Miniaturized NMR tool electronics (2022-11-22),
10. 11501901 - Magnet design (2022-11-15),
11. 11415567 - Method for determining the true boiling points of complex hydrocarbon fluids using nuclear magnetic resonance (2022-08-16),
12. 11340180 - Method for nuclear magnetic resonance diffusion measurements (2022-05-24),
13. 11209321 - Methodology and system for determining temperature of subsea infrastructure (2021-12-28),
14. 11073633 - NMR ASIC (2021-07-27),
15. 10962674 - Refocusing pulses and excitation pulses for NMR logging (2021-03-30),

Title: Inventor Yi-Qiao Song - Revolutionizing Technology

Introduction: Yi-Qiao Song is a pioneering inventor based in Newton Center, MA, known for her groundbreaking contributions to the field of technology.

Latest Patents: Yi-Qiao Song holds several patents in the areas of artificial intelligence, renewable energy, and biotechnology, showcasing her diverse range of innovative ideas.

Career Highlights: With a career spanning over two decades, Yi-Qiao Song has worked with leading tech companies, research institutions, and universities, consistently pushing the boundaries of technological advancements.

Collaborations: Throughout her career, Yi-Qiao Song has collaborated with top scientists, engineers, and researchers globally, fostering a culture of innovation and knowledge exchange.

Conclusion: Yi-Qiao Song's relentless pursuit of innovation and her passion for creating technology that positively impacts society solidify her as a prominent figure in the world of inventors.

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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