Third-Party Source Data
G
Global Patent and Citation Data
Global Patent Basic Information Table
Global Patent Citation Table
Global Patent Cited Table
Global Patent Literature Citation Table
Global Patent Transaction Table
Global Patent Classification Code Table
E
European Patent and Citation/Cited DataNEW
European Patent Basic Information Table
European Patent Citation Information Table
European Patent Cited Information Table
European Patent Cited Literature Information Table
European Patent Event Table
European Patent Classification Number Table
U
U.S. Patent and Citation/Cited DataNEW
U.S. Patent Basic Information Table
U.S. Patent Citation Information Table
U.S. Patent Cited Information Table
U.S. Patent Cited Literature Information Table
U.S. Patent Event Table
U.S. Patent Classification Number Table
U
UK Patent and Citation/Cited Data DataNEW
UK Patent Basic Information Table
UK Patent Citation Information Table
UK Patent Cited Information Table
UK Patent Cited Literature Information Table
UK Patent Event Table
UK Patent Classification Number Table
J
Japanese Patent and Citation/Cited DataNEW
Japanese Patent Basic Information Table
Japanese Patent Citation Information Table
Japanese Patent Cited Information Table
Japanese Patent Cited Literature Information Table
Japanese Patent Event Table
Japanese Patent Classification Number Table
S
South Korean Patent and Citation/Cited DataNEW
South Korean Patent Basic Information Table
South Korean Patent Citation Information Table
South Korean Patent Cited Information Table
South Korean Patent Cited Literature Information Table
South Korean Patent Event Table
South Korean Patent Classification Number Table
N
NASA satellite image dataNEW
G
Global Wind Energy Sustainable Development Project Data
Global Wind Farm Project Information
Global Wind Turbine Manufacturer Information
Global Wind Turbine Information
Global Wind Energy Market Key Players
Wind Energy Capacity by Country
G
Glassdoor U.S. Listed Companies Employee Review DataNEW
U.S. Listed Company Basic Information Table
U.S. Listed Company Employee Review Table
G
Glassdoor U.S. Publicly Listed Company Employee Review DataNEW
U.S. Public Company Basic Information Table
U.S. Public Company Employee Review Table
G
Glassdoor U.S. Company Interviewee Review DataNEW
U.S. Company Basic Information Table
U.S. Company Interviewee Review Table
G
Glassdoor U.S. Listed Company Interviewee Review DataNEW
U.S. Listed Company Basic Information Table
U.S. Listed Company Interviewee Review Table
I
IFR Industrial Robot DataNEW

   Innovation serves as the fundamental driver of economic development. As the basic unit of economic society, the innovation investment of individual enterprises not only forms the foundation for their long-term development but also plays a crucial role in shaping the global innovation landscape. A direct manifestation of corporate R&D capabilities lies in both the quantity and quality of patents. However, patent quality cannot be assessed unidimensionally—metrics such as citation frequency, grant ratios, technological coverage, and number of claims all constitute evaluation criteria for patent quality.

   Patent citations occur when a patent is referenced by subsequent patent applicants or examiners, indicating technical correlations between patents. Originating from the Science Citation Index (SCI), patent citations form a knowledge network analogous to academic literature references. Around February 1947, the USPTO (United States Patent and Trademark Office) pioneered listing prior art references in granted patents for technical evaluation. Currently, patent citation information primarily derives from two sources:

  • First, references provided by inventors during application, typically disclosed in sections like "Background Technology" within patent specifications to articulate distinctions from existing technologies and demonstrate novelty. For instance, the U.S. patent system mandates applicants to submit all relevant technical materials through an Information Disclosure Statement (IDS); non-compliance may result in patent invalidation.
  • Second, references added by patent examiners during review. To assess novelty and inventiveness, examiners conduct prior art searches to identify technologies closest to the claimed invention.

Patent citation data serves at least two critical purposes:

  • Tracking technological evolution and knowledge flows. Since Narin (1994) introduced bibliometrics into patent analysis, patent citations have been recognized as objective indicators of knowledge linkages. Citation networks reveal dynamic innovation processes and inter-sectoral/inter-industry knowledge transfer patterns.
  • Measuring innovation quality and value. Innovation assessment requires moving beyond quantity metrics, as patent significance varies substantially. Citation analysis provides insights into patent quality and technological value that raw counts cannot capture.

   The seminal work Patents, Citations, and Innovations by Adam Jaffe and Manuel Trajtenberg establishes methodologies for analyzing technological trends and patent value through citation networks.

   USDataverse has systematically organized South Korean Patent Data into a specialized database, offering comprehensive support for relevant research.

Data Features

  • Contains both citation references made by patents and citations received by patents
  • Records current legal status information for each patent

Time Range

1985 - December 31, 2024

Field Description

Sample Data

South Korean Patent Basic Information Table

South Korean Patent Citation Information Table

South Korean Patent Cited Information Table

South Korean Patent Event Table

South Korean Patent Cited Literature Information Table

South Korean Patent Classification Number Table

Data Update Frequency

Annual Update