Where does Peking University Shenzhen Graduate School rank among US patent assignees?

According to USPTO PatentsView (2015–2025 granted utility patents), Peking University Shenzhen Graduate School ranks #3,236 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 Peking University Shenzhen Graduate School hold?

Peking University Shenzhen Graduate School holds 116 US utility patents granted between 2015 and 2025, spanning 41 technology areas.

What is Peking University Shenzhen Graduate School's Innovation Score?

Peking University Shenzhen Graduate School has an Innovation Score of 48.8 out of 100 (top 16% of the corpus). This composite metric weighs portfolio volume (40%), grant velocity (20%), technology breadth (25%), and claim depth (15%).

What technology areas does Peking University Shenzhen Graduate School focus on?

Peking University Shenzhen Graduate School's top technology area is G06T (Image Data Processing OR Generation, IN General) with 39 patents. Grants appear in 41 CPC subclasses total.

Is Peking University Shenzhen Graduate School's patent grant rate increasing or decreasing?

Peking University Shenzhen Graduate School's recent grant velocity is +77% compared to the prior five-year period (grant years, not application filing dates). This indicates accelerating grant output.

What does claim depth mean for Peking University Shenzhen Graduate School's patents?

Peking University Shenzhen Graduate School's patents average 9.9 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.

USPTO 2015–2025 USPTO PatentsView Foreign Corporation

Peking University Shenzhen Graduate School

Q: How is the Peking University Shenzhen Graduate School 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 PatentsView assignee record - 116 granted patents across 41 technology areas, recorded in grant years 2015–2025. 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: G06T (Image Data Processing OR Generation, IN General).

Compiled by PlainPatent · May 15, 2026

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The verdict

According to USPTO PatentsView, Peking ranks #3,236 of 49,997 tracked US assignees by granted-patent volume, with 116 patents across 41 technology areas.

#3,236
of 49,997 US assignees by volume: Top 16%
by Innovation Score (48.8/100): 9.9
avg claims per patent: +77%
grant velocity, last 5 yrs

USPTO PatentsView assignee plate

Corpus R3236 · Foreign Corporation #3,236 · 116 grants

GRANTS-MID · TOP-DECILE · PHOTO-FINISH · CPC-WIDE · INNOV-PAR · CLAIMS-PAR · TYPE-FRNCORP · VEL-SURGE · BOOK-FULL

GRANTS-MID 116 grants
TOP-DECILE #3,236/49,997
PHOTO-FINISH Kyocera AVX Components
CPC-WIDE G06T · 41 areas
INNOV-PAR 48.8/100
CLAIMS-PAR 9.9 claims/avg
TYPE-FRNCORP Foreign Corp
VEL-SURGE +77% vel
BOOK-FULL 10/10 fields

Nearest grant-volume peer: Kyocera AVX Components Corporation (±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
Analog Photonics · near

49
Peking University… · this assignee

49
Vivotek · near

49
Soreq Nuclear… · near

49
UNIVERSITÉ Catholiqu… · near

49
3D Lighting… · lowest

7

What this shows Peking's Innovation Score is 48.8/100 (top 16% 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.

Where Peking's grants concentrate

Peking University Shenzhen Graduate School is a focused PatentsView assignee: 41 CPC subclasses with 33.6% of grants classified under G06T (Image Data Processing OR Generation, IN General). Peak complete grant year is 2020 (21 grants) versus a trough of 4 in 2015. By volume, Peking sits between Kyocera AVX Components Corporation and UCL Business PLC.

Peking's three-year grant acceleration

From 2019–2021 to 2022–2024, Peking University Shenzhen Graduate School moved from 57 to 32 grants (0.56x the prior three-year total, a multiple, not a CAGR). Among 3,296 tracked assignees with ≥100 grants and ≥20 prior-period grants, that multiple ranks #2,542. See the growth leaderboard.

Kyocera AVX Compo…

116
Leia

116
Leonardo S P A

116
Macau University…

116
Polar Electro Oy

116
Shanghai Huahong…

116
Terumo BCT

116
UCL Business

116
Peking University… ◀

116

What this shows Peking holds 116 patents at rank #3,236, shown against the 8 assignees closest to it in grant volume rather than the industry's largest filers.

Companies ranked near Peking

By rank, the assignees closest to #3,236 in granted patent volume.

Leaders in G06T (Image Data Processing OR Generation)

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

Assignees with similar portfolio profiles

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

Similar innovation score

Nearest assignees by Innovation Score (49 here).

Vivotek Inc. 49 Analog Photonics LLC 49 UNIVERSITÉ Catholique DE Louvain 49 Soreq Nuclear Research Center 49

Similar claim depth

Nearest assignees by average claims per patent (9.9 here).

Kowa Company, Ltd. 9.9 avg Tamron Co., Ltd. 9.9 avg Intellihot, Inc. 9.9 avg National Taiwan University of Science and Technology 9.9 avg

Peking's Innovation Score vs. every tracked assignee

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

49 Top 16% higher than 84% 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 · 2015–2025

Grants by year

Teal-shaded recent years (2020–present) versus the 2015–2019 baseline. Full figures in the table below.

View data table

Peking University Shenzhen Graduate School patent grants by year, 2015–2025
Year	Patents Granted	Share of Period
2015	4	3.4%
2017	9	7.8%
2018	6	5.2%
2019	20	17.2%
2020	21	18.1%
2021	16	13.8%
2022	19	16.4%
2023	5	4.3%
2024	8	6.9%
2025partial year	8	6.9%

Which technologies does Peking University Shenzhen Graduate School patent most?

G06T - Image Data Processing OR Generation, IN General 39

H04N - Pictorial Communication, e.g. Television 38

G06F - Electric Digital Data Processing 24

G06V - Image OR Video Recognition OR Understanding 21

G06N - Computing Arrangements Based ON Specific Computational Models 15

G09G - Arrangements OR Circuits FOR Control OF Indicating Devices Using Static Means TO Present Variable Information 9

H10D - Inorganic Electric Semiconductor Devices 7

H03M - CODING; DECODING; Code Conversion IN General 6

H04L - Transmission OF Digital Information, e.g. Telegraphic Communication 5

H01L - Semiconductor Devices NOT Covered BY Class H10 4

H10N - Electric Solid-state Devices NOT Otherwise Provided FOR 4

B06B - Methods OR Apparatus FOR Generating OR Transmitting Mechanical Vibrations OF Infrasonic, Sonic, OR Ultrasonic Frequency, ; e.g.; FOR Performing Mechanical Work IN General 4

H10K - Organic Electric Solid-state Devices 4

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

C07D - Heterocyclic Compounds 3

Top 15 of 41 technology areas

Where it ranks

Overall rank by patents

#3,236

of 49,997 tracked assignees

Innovation Score

48.8 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

Peking University Shenzhen Graduate School's patent record in context - here's where to go next.

Peking University Shenzhen Graduate School's lead technology class is G06T (Image Data Processing OR Generation, IN General), 33.6% of its portfolio - see every assignee active in that class. Explore G06T
Ranked #3,236 of 49,997 tracked assignees by patent volume - see the full leaderboard. See the ranking
Compare Peking University Shenzhen Graduate School against Kyocera AVX Components Corporation, an assignee filing at a similar volume. Compare portfolios
Innovation Score of 48.8/100 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.