Cross-platform Detection
Cross-Platform Detection is a computational method designed to identify and verify misinformation by analyzing and correlating content across multiple digital platforms to detect consistent patterns of false or misleading information that transcend individual platform boundaries.
8
Publications
526
Citations
30
Authors
11
Institutions
Publications per year
2017–2026
6
Parents
8
Differences in microRNA detection levels are technology and sequence dependent
Dena Leshkowitz, Shirley Horn‐Saban, Yisrael Parmet et al. · RNA · 2013 · 114 citations · Full text
1–5 of 8
30
1
h-index
1
h-index
1
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1
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1
h-index
1–5 of 30
11
Georgia Institute of Technology
Atlanta, United States
3 h-index
6 publications
204 citations
Ben-Gurion University of the Negev
Beersheba, Israel
1 h-index
1 publications
114 citations

Amherst College
Amherst Center, United States
1 h-index
4 publications
172 citations
Société Française de Cardiologie
Paris, France
1 h-index
3 publications
63 citations
California Southern University
Chandler, United States
1 h-index
1 publications
71 citations
University of Southern California
Los Angeles, United States
1 h-index
1 publications
71 citations

University of Massachusetts Amherst
Amherst Center, United States
1 h-index
4 publications
172 citations

Universidade Federal do ABC
Santo André, Brazil
1 h-index
2 publications
350 citations
1–8 of 11
1 publications · 114 citations
1
h-index
1 publications · 175 citations
1
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1 publications · 43 citations
1
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Conference · 1 publications · 22 citations
1
h-index
1 publications · 71 citations
1
h-index
1–5