Exploring key licensing technologies and trends of public research institutions through technology patent networks
Bibliographic Data
| ID | 17600379 |
|---|---|
| Authors | H Chang (0000-0001-8372-989X, Science and Technology Policy Research and Information Center, National Institutes of Applied Research , 14F., No. 106, Sec. 2, Heping E. Rd., Da'an Dist., Taipei 10636, corresponding author) |
| Year | 2026 |
| Publication date | 2026-03-25 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Science and Public Policy (JOURNAL) |
| Journal identifiers | ISSN: 0302-3427 • E-ISSN: 1471-5430 |
| Publisher | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1093/scipol/scag012 |
| OpenAlex | W7140498023 |
| Language | EN |
| References cited | 57 |
This study analysed licensed patents of public research institutions (PRIs) and investigated the key licensing technologies and trends of these institutions from the perspective of technology patent networks. A total of 661 licensed patents granted to PRIs between 2019 and 2023 were examined; patent information was obtained from the United States Patent and Trademark Office. The results revealed that technologies identified as key players are measurement, chemical or physical processes and relevant apparatus, and additive manufacturing. Furthermore, optics and semiconductors are critical bridging technologies across different technological sectors. In addition, this study examined specific trends of policy relevance and identified additive manufacturing and optics have emerged as prominent key technologies in recent years, indicating that light- and laser-based optical and manufacturing technologies are critical for future innovation. The findings aim to identify the key technologies of these institutions and provide governments with a reference for allocating research and development subsidies
Emerging technologies · Intellectual property · Patent analysis · Public policy · Trademark · Economic and Technological Innovation · Intellectual Property and Patents · University-Industry-Government Innovation Models
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| Highly cited | No |
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