Educational Content Understanding
Educational Content Understanding is a computer vision methodology that specifically enables the automated interpretation and analysis of pedagogical materials—such as textbooks, lectures, and instructional videos—by recognizing and structuring visual and multimodal educational elements to support learning-centric applications.
99
Publications
4.7K
Citations
312
Authors
132
Institutions
Publications per year
2017–2026
41
Parents
99
1–5 of 99
312
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132

Sun Yat-sen University
Guangzhou, China
3 h-index
11 publications
236 citations
University of Wisconsin–Madison
Madison, United States
2 h-index
5 publications
155 citations
University of Michigan
Ann Arbor, United States
2 h-index
2 publications
37 citations
North Carolina State University
Raleigh, United States
2 h-index
5 publications
433 citations
University of Washington
Seattle, United States
2 h-index
3 publications
37 citations
East Carolina University
Greenville, United States
2 h-index
5 publications
1.5K citations
University of Pennsylvania
Philadelphia, United States
2 h-index
3 publications
119 citations
Georgetown University
Washington, United States
2 h-index
10 publications
930 citations
1–8 of 132
MP · 4 publications · 444 citations
4
h-index
IJSE · 3 publications · 72 citations
3
h-index
2 publications · 81 citations
2
h-index
2 publications · 548 citations
2
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JRST · 2 publications · 60 citations
2
h-index
1–5