Keyword Clusters is a methodological construct in keyword analysis that groups semantically related keywords into cohesive units to enhance content organization, search engine optimization, and topic modeling precision.
68
Publications
4.4K
Citations
208
Authors
130
Institutions
Publications per year
2017–2026
32
Parents
Publications
68
1–5 of 68
Authors
208
- TY
2
h-index
- MZ
2
h-index
- JC
2
h-index
- NB
2
h-index
- JH
2
h-index
1–5 of 208
Institutions
130
The University of Tokyo
Tokyo, Japan
2 h-index
5 publications
85 citations
National Taiwan University of Science and Technology
Taipei, Taiwan
2 h-index
2 publications
48 citations
Norwegian University of Science and Technology
Trondheim, Norway
2 h-index
4 publications
226 citations
San Jose State University
San Jose, United States
2 h-index
5 publications
71 citations
Hong Kong University of Science and Technology
Hong Kong, Hong Kong
2 h-index
3 publications
71 citations
IBM (United States)
Armonk, United States
2 h-index
4 publications
84 citations
Sejong University
Seoul, South Korea
2 h-index
2 publications
274 citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
2 h-index
4 publications
84 citations
1–8 of 130
Venues
- Scientometrics
7 publications · 1.1K citations
7
h-index
- Journal of Systems and Software
JSS · 2 publications · 42 citations
2
h-index
- Neural Regeneration Research
1 publications · 23 citations
1
h-index
- IEEE Transactions on Cloud Computing
1 publications · 129 citations
1
h-index
- Quality in Higher Education
1 publications · 14 citations
1
h-index
1–5