Data and Code
Data & Code
Code
- Jingjing JIANG, Deyun YIN, Zhuoluo SUN, Bin YE, Nan ZHOU (2024), Global innovative trend of methane abatement technologies and widening mismatch with methane emissions, Nature Climate Change
- Deyun YIN, Zhao WU, Sotaro SHIBAYAMA (2023), Measuring Risk in Science. Journal of Informetrics
- Deyun YIN, Zhao WU, Kazuki YOKOTA, Kuniko MATSUMOTO, Sotaro SHIBAYAMA (2023), Identify Novel Elements of Knowledge with Word Embedding. PLOS ONE
Databases
Global Patent Databases
- Global Patent Database
- Expanded PATSTAT Global Patent Database
- A complete version of PATSTAT with missing information imputed with original data from patent offices such as CNIPA, WIPO, JPO, and USPTO.
- Patent family level pre-computed indicators
- World Global Name Dictionary (WGND 2.0): A global name-gender dictionary for inventors.
- Expanded PATSTAT Global Patent Database
- Patent Databases by Jurisdiction
- Full-Sample CNIPA Chinese Patent Database
- CNIPA Patent Applicant’s Geocoded Address Database
- CNIPA Patent City-District Database
- CNIPA Patent Inventor Name Disambiguation Database
- CNIPA Mobile Inventor Database
- CNIPA Patent Quality Database
- Enhanced JPO Patent Office Database
- Full-Sample CNIPA Chinese Patent Database
Academic Paper Databases
- Global Scientific Paper Database
- Global Scientific Paper Word Embedding Model Database
- Global Scientific Paper Indicator Database, including key indicators such as:
- Novelty: Innovation level of the paper.
- Impact: Influence and reach of the paper.
- Risk: R&D risks associated with the paper and projects.
- Others: (to be released)
Access and Collaboration
For access to database resources or collaboration inquiries, please contact via email: yindeyunut@gmail.com