Where does Yangzhou University rank among US patent assignees?

According to USPTO PatentsView (2015–2025 granted utility patents), Yangzhou University ranks #5,490 of 49,997 assignees by granted-patent volume, the same sort as the companies listing and top-holders ranking. See /methodology/#corpus-placement.

How many patents does Yangzhou University hold?

Yangzhou University holds 63 US utility patents granted between 2016 and 2025, spanning 79 technology areas.

What is Yangzhou University's Innovation Score?

Yangzhou University has an Innovation Score of 64.4 out of 100 (top 2% of the corpus). This composite metric weighs portfolio volume (40%), grant velocity (20%), technology breadth (25%), and claim depth (15%).

What technology areas does Yangzhou University focus on?

Yangzhou University's top technology area is G06F (Electric Digital Data Processing) with 11 patents. Grants appear in 79 CPC subclasses total.

Is Yangzhou University's patent grant rate increasing or decreasing?

Yangzhou University's recent grant velocity is +1050% compared to the prior five-year period (grant years, not application filing dates). This indicates accelerating grant output.

What does claim depth mean for Yangzhou University's patents?

Yangzhou University's patents average 8.4 claims each. This is an aggregate descriptive count from the grant record; it does not establish claim scope, legal strength, enforceability, or design-around risk.

How is the Yangzhou University patent data sourced?

All patent data comes from USPTO PatentsView, a public research dataset maintained by the United States Patent and Trademark Office covering US granted utility patents from 2015 to 2025.

USPTO 2015–2025 USPTO PatentsView Foreign Corporation

Yangzhou University

USPTO PatentsView assignee record - 63 granted patents across 79 technology areas, recorded in grant years 2016–2025. Grant-trend analysis is cross-referenced to USPTO Patent Public Search; it does not measure application filings, current R&D, or legal strength. Primary class: G06F (Electric Digital Data Processing).

Compiled by PlainPatent · May 15, 2026

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The verdict

According to USPTO PatentsView, Yangzhou ranks #5,490 of 49,997 tracked US assignees by granted-patent volume, with 63 patents across 79 technology areas.

#5,490
of 49,997 US assignees by volume: Top 2%
by Innovation Score (64.4/100): 8.4
avg claims per patent: +1050%
grant velocity, last 5 yrs

USPTO PatentsView assignee plate

Corpus R5490 · Foreign Corporation #5,490 · 63 grants

GRANTS-SMALL · UPPER-Q · PHOTO-FINISH · CPC-WIDE · INNOV-STRONG · CLAIMS-PAR · TYPE-FRNCORP · VEL-SURGE · BOOK-FULL

GRANTS-SMALL 63 grants
UPPER-Q #5,490/49,997
PHOTO-FINISH Valeo Japan
CPC-WIDE G06F · 79 areas
INNOV-STRONG 64.4/100
CLAIMS-PAR 8.4 claims/avg
TYPE-FRNCORP Foreign Corp
VEL-SURGE +1050% vel
BOOK-FULL 10/10 fields

Nearest grant-volume peer: Valeo Japan Co., Ltd. (±0 grants)

Instrument codes from this assignee’s USPTO PatentsView grant sheet: volume band, corpus rank, photo-finish peer, lead CPC, Innovation Score, claim depth, assignee type, velocity, and book completeness. Not a USPTO rating of patent strength.

Qualcomm Incorporated · highest

85
Siemens Healthineers… · near

64
BSH Hausgeräte · near

64
IP Holding · near

64
National Oilwell Varco · near

64
Yangzhou University · this assignee

64
3D Lighting… · lowest

7

What this shows Yangzhou's Innovation Score is 64.4/100 (top 2% of the PatentsView-derived corpus). The chart places that score against the nearest Innovation Score peers plus corpus poles, not a reprint of the volume ranking.

How Yangzhou's grant cadence moved

Between 2020–2024, Yangzhou University received 46 grants versus 4 in 2015–2019 (+1050% equal-window velocity, top decile growth). Across complete PatentsView years, output peaked in 2022 at 15 grants and bottomed in 2018 at 1. Lead class G06F accounts for 17.5% of the portfolio across 79 subclasses. Volume neighbours: Valeo Japan Co., Ltd. (#5,486) and Afiniti Europe Technologies Limited (#5,494).

Yangzhou's three-year grant acceleration

Yangzhou University shows 41 grants in 2022–2024 against only 6 in 2019–2021. That prior window is too thin for a growth multiple (rename and spin-out assignees look artificially high when the baseline is near zero), so PlainPatent withholds a ranked acceleration claim here.

Valeo Japan

63
Virtual Hold Tech…

63
Vitesco USA

63
Welltec Oilfield…

63
Zhengzhou Yunhai…

63
Yangzhou Universi… ◀

63
Abbyy Production

62
Atrium Medical

62
Afiniti Europe

62

What this shows Yangzhou holds 63 patents at rank #5,490, shown against the 8 assignees closest to it in grant volume rather than the industry's largest filers.

Companies ranked near Yangzhou

By rank, the assignees closest to #5,490 in granted patent volume.

Leaders in G06F (Electric Digital Data Processing)

Other assignees with the most granted patents in Yangzhou's primary technology class.

Assignees with similar portfolio profiles

Two PlainPatent-derived peer sets for Yangzhou, neither rank-band nor same-CPC leaders (those blocks stay above).

Similar innovation score

Nearest assignees by Innovation Score (64 here).

IP Holding Company LLC 64 National Oilwell Varco, L.P. 64 BSH Hausgeräte GmbH 64 Siemens Healthineers International AG 64

Similar claim depth

Nearest assignees by average claims per patent (8.4 here).

Teknor Apex Company 8.4 avg GigaLane Co., Ltd. 8.4 avg Yamabiko Corporation 8.4 avg Ichikoh Industries, Ltd. 8.4 avg

Yangzhou's Innovation Score vs. every tracked assignee

Composite of portfolio volume, grant velocity, technology breadth, and claim depth (0–100)

64 Top 2% higher than 98% of 49,997 US assignees

Each bar is a band; taller bars hold more US assignees. The dashed line + filled bar mark this entry. Hover or tap any bar for its full count, share, and where it sits relative to this entry.

Source USPTO PatentsView, PlainPatent Innovation Score · 2015–2025

USPTO utility patent grants by year · 2016–2025

Grants by year

Teal-shaded recent years (2020–present) versus the 2016–2019 baseline. Full figures in the table below.

View data table

Yangzhou University patent grants by year, 2015–2025
Year	Patents Granted	Share of Period
2016	2	3.2%
2018	1	1.6%
2019	1	1.6%
2020	1	1.6%
2021	4	6.3%
2022	15	23.8%
2023	15	23.8%
2024	11	17.5%
2025partial year	13	20.6%

Which technologies does Yangzhou University patent most?

G06F - Electric Digital Data Processing 11

H04L - Transmission OF Digital Information, e.g. Telegraphic Communication 7

G06N - Computing Arrangements Based ON Specific Computational Models 7

B63G - Offensive OR Defensive Arrangements ON VESSELS; MINE-LAYING; MINE-SWEEPING; SUBMARINES; Aircraft Carriers 7

Y02A - Technologies FOR Adaptation TO Climate Change 6

C12N - Microorganisms OR ENZYMES; Compositions THEREOF; Propagating, Preserving, OR Maintaining MICROORGANISMS; Mutation OR Genetic ENGINEERING; Culture Media 5

G01N - Investigating OR Analysing Materials BY Determining Their Chemical OR Physical Properties 5

E04H - Buildings OR Like Structures FOR Particular PURPOSES; Swimming OR Splash Baths OR POOLS; MASTS; FENCING; Tents OR Canopies, IN General 4

Y02D - Climate Change Mitigation Technologies IN Information AND Communication Technologies [ICT], I.E. Information AND Communication Technologies Aiming AT THE Reduction OF Their OWN Energy USE 4

A61K - Preparations FOR Medical, Dental OR Toiletry Purposes 4

E04B - General Building CONSTRUCTIONS; Walls, e.g. PARTITIONS; ROOFS; FLOORS; CEILINGS; Insulation OR Other Protection OF Buildings 3

Y02E - Reduction OF Greenhouse GAS [GHG] Emissions, Related TO Energy Generation, Transmission OR Distribution 3

C04B - Lime, MAGNESIA; SLAG; CEMENTS; Compositions Thereof, e.g. Mortars, Concrete OR Like Building MATERIALS; Artificial Stone ; Ceramics ; REFRACTORIES; Treatment OF Natural Stone 3

B25J - MANIPULATORS; Chambers Provided With Manipulation Devices 3

G06T - Image Data Processing OR Generation, IN General 3

Top 15 of 79 technology areas

Where it ranks

Overall rank by patents

#5,490

of 49,997 tracked assignees

Innovation Score

64.4 out of 100

View all rankings →

Data Source

USPTO PatentsView, US granted patents 2015–2025

How is Innovation Score calculated?

What to do with this data

Yangzhou University's patent record in context - here's where to go next.

Yangzhou University's lead technology class is G06F (Electric Digital Data Processing), 17.5% of its portfolio - see every assignee active in that class. Explore G06F
Ranked #5,490 of 49,997 tracked assignees by patent volume - see the full leaderboard. See the ranking
Compare Yangzhou University against Valeo Japan Co., Ltd., an assignee filing at a similar volume. Compare portfolios
Innovation Score of 64.4/100 blends volume, velocity, technology breadth, and claim depth. How it's calculated

Figures reflect USPTO PatentsView grant data through May 2026; pending applications not yet granted are not counted.

Data sourced from USPTO PatentsView - official U.S. government patent data. See our methodology for computation details. Retrieved and formatted by PlainPatent

Disclaimer: This information is provided for informational purposes only and does not constitute professional advice. Data is sourced from the USPTO PatentsView database. Consult a qualified professional before making decisions based on this data.

Read our methodology - how this data is sourced, computed, and verified.

Data sources used on this page

USPTO PatentsView - the disambiguated bulk patent-grant, assignee, and CPC data this page's figures are derived from. patentsview.org
Cooperative Patent Classification (CPC) - the joint USPTO/EPO classification scheme used to group patents by technology area. cooperativepatentclassification.org
USPTO Patent Public Search - the official interface to verify the status of any individual patent. ppubs.uspto.gov

Compiled by PlainPatent, US Patent Intelligence Editorial Process · May 15, 2026

Every figure on PlainPatent is rendered directly from USPTO source data, no number is typed in by an editor. This page draws directly on USPTO source data, no figure is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error. Data current as of May 2026.