Overall rank by patents
#6,654
Across all tracked assignees
USPTO PatentsView assignee record — 50 granted patents across 62 technology areas, active 2015–2025. Filing-trend and competitive-moat analysis cross-referenced to USPTO Patent Public Search. Primary class: E21B (EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS).
GUANGZHOU INSTITUTE OF ENERGY CONVERSION, CHINESE ACADEMY OF SCIENCES has been granted 50 US utility patents between 2015 and 2025, placing GUANGZHOU INSTITUTE OF ENERGY CONVERSION, CHINESE ACADEMY OF SCIENCES at rank #6,654 across all assignees tracked by PlainPatent. This portfolio spans 62 distinct Cooperative Patent Classification (CPC) subclasses, averaging 8.8 claims per patent with primary concentration in E21B (EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS). As a Foreign Government, GUANGZHOU INSTITUTE OF ENERGY CONVERSION, CHINESE ACADEMY OF SCIENCES is one of the broader-portfolio assignees in the PatentsView dataset. The composite Innovation Score of 56.2/100 blends portfolio volume, filing velocity, technology breadth, and claim depth into a single comparable measure drawn directly from USPTO PatentsView records.
Filing cadence tells the strategic story. Between 2020 and 2025 the company received 33 grants, compared with 17 in the 2015–2019 window — a +94% shift in five-year velocity. An acceleration of this magnitude signals aggressive R&D investment and expanding technical ambition. The Foreign Government classification further shapes interpretation, since corporate, government, and individual filers pursue patents for materially different reasons.
Claim depth and technology breadth together indicate competitive posture. GUANGZHOU INSTITUTE OF ENERGY CONVERSION, CHINESE ACADEMY OF SCIENCES's 8.8 average claims per patent suggests focused, narrowly drawn claims typical of single-invention filings, while a multi-domain presence across 62 subclasses balances depth with breadth. Combined with portfolio volume, these signals let analysts, investors, and licensing professionals benchmark GUANGZHOU INSTITUTE OF ENERGY CONVERSION, CHINESE ACADEMY OF SCIENCES against peers pursuing similar technology classes.
Granted US patents 2015–2025 versus the largest corporate holders — this company marked ◀
SAMSUNG ELECTRONICS CO., LTD.
106,890 patents
International Business Machines Corporation
72,926 patents
Canon Kabushiki Kaisha
34,378 patents
LG ELECTRONICS INC.
32,607 patents
TAIWAN SEMICONDUCTOR MANUFACTURING COMPANY LTD.
31,041 patents
Apple Inc.
30,560 patents
QUALCOMM Incorporated
30,354 patents
Intel Corporation
27,498 patents
GUANGZHOU INSTITUTE OF ENERGY CONVERSION, CHINESE ACADEMY OF SCIENCES
50 patents
What this shows GUANGZHOU holds 50 patents — placing it at rank #6,654 overall, well behind the volume leaders but ahead of the tens of thousands of smaller assignees in the dataset.
Teal-shaded recent years (2020–present) versus the 2015–2019 baseline. Full figures in the table below.
| Year | Patents Granted | Share of Period |
|---|---|---|
| 2015 | 1 | 2.0% |
| 2016 | 1 | 2.0% |
| 2017 | 5 | 10.0% |
| 2018 | 3 | 6.0% |
| 2019 | 7 | 14.0% |
| 2020 | 2 | 4.0% |
| 2021 | 4 | 8.0% |
| 2022 | 6 | 12.0% |
| 2023 | 7 | 14.0% |
| 2024 | 11 | 22.0% |
| 2025 | 3 | 6.0% |
Top 15 of 62 technology areas
Overall rank by patents
#6,654
Across all tracked assignees
56.2 out of 100
GUANGZHOU INSTITUTE OF ENERGY CONVERSION, CHINESE ACADEMY OF SCIENCES's primary CPC class — all holders and yearly trends
See where GUANGZHOU INSTITUTE OF ENERGY CONVERSION, CHINESE ACADEMY OF SCIENCES ranks among the largest US patent assignees
Browse every CPC technology area by patent activity
The four dimensions behind the Innovation Score
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.