Patent Clustering
Patent Clustering is a patent analysis method that groups patent documents into coherent categories based on similarities in technological content, citation patterns, or metadata, thereby enabling the identification of innovation trends, competitive landscapes, and technological domains.
88
Publications
3.4K
Citations
254
Authors
124
Institutions
Publications per year
2017–2026
35
Parents
88
1–5 of 88
254
7
h-index
7
h-index
4
h-index
4
h-index
4
h-index
1–5 of 254
124
Korea University
Seoul, South Korea
8 h-index
26 publications
928 citations
National Tsing Hua University
Hsinchu, Taiwan
7 h-index
15 publications
441 citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
6 h-index
7 publications
207 citations
Cheongju University
Cheongju-si, South Korea
4 h-index
4 publications
236 citations
National Science Library
Beijing, China
3 h-index
4 publications
101 citations
Arizona State University
Tempe, United States
3 h-index
4 publications
201 citations
Korean Intellectual Property Office
Daejeon, South Korea
3 h-index
3 publications
83 citations
Korea Railroad Research Institute
Uiwang, South Korea
2 h-index
6 publications
210 citations
1–8 of 124
10 publications · 268 citations
10
h-index
8 publications · 294 citations
8
h-index
5 publications · 136 citations
5
h-index
4 publications · 383 citations
4
h-index
4 publications · 202 citations
3
h-index
1–5