Cross-platform Topic Modeling
Cross-Platform Topic Modeling is a computational text analysis method that identifies and aligns latent thematic structures across diverse digital platforms by integrating heterogeneous textual data sources into a unified topic modeling framework.
13
Publications
559
Citations
37
Authors
20
Institutions
Publications per year
2017–2026
7
Parents
13
Mining Cross-network Association for YouTube Video Promotion
Ming Yan, Jitao Sang, Changsheng Xu · 2014 · 48 citations
Zhiyuan Wan, Xin Xia, Ahmed E. Hassan · IEEE Transactions on Software Engineering · 2019 · 45 citations
1–5 of 13
37
4
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 37
20

Chinese Academy of Sciences
Beijing, China
5 h-index
15 publications
804 citations

King Saud University
Riyadh, Saudi Arabia
3 h-index
3 publications
122 citations
Shandong Institute of Automation
Jinan, China
2 h-index
6 publications
438 citations
Institute of Automation
Beijing, China
2 h-index
6 publications
255 citations
Queen's University
Kingston, Canada
1 h-index
1 publications
45 citations
Zhejiang University of Science and Technology
Hangzhou, China
1 h-index
1 publications
45 citations
Singapore Management University
Singapore, Singapore
1 h-index
2 publications
70 citations
Fudan University
Shanghai, China
1 h-index
4 publications
52 citations
1–8 of 20
2 publications · 85 citations
2
h-index
TSE · 1 publications · 45 citations
1
h-index
1 publications · 18 citations
1
h-index
1 publications · 98 citations
1
h-index
1 publications · 13 citations
1
h-index
1–5