Omission Detection
Omission Detection is a scholarly methodological process in textual criticism that identifies material absent from a manuscript or source by comparing it against a reconstructed archetype or reference edition to ascertain textual gaps resulting from scribal error, intentional excision, or transmission loss.
36
Publications
1.7K
Citations
151
Authors
70
Institutions
Publications per year
2017–2026
15
Parents
36
Yue Ma, Ke Tang, Yan Xu et al. · Journal of Agricultural and Food Chemistry · 2016 · 74 citations
Agriculture, Chemistry, Food Science +17
1–5 of 36
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1–5 of 151
70
The University of Tokyo
Tokyo, Japan
2 h-index
9 publications
292 citations
Jiangnan University
Wuxi, China
2 h-index
7 publications
326 citations
China Agricultural University
Beijing, China
2 h-index
9 publications
355 citations
Shanghai Institute of Technology
Shanghai, China
2 h-index
9 publications
422 citations

Beijing Technology and Business University
Beijing, China
2 h-index
6 publications
221 citations

Portland State University
Portland, United States
1 h-index
1 publications
33 citations
Bernstein Center for Computational Neuroscience Berlin
Berlin, Germany
1 h-index
2 publications
36 citations
University of Science and Technology of China
Hefei, China
1 h-index
3 publications
36 citations
1–8 of 70
4 publications · 355 citations
4
h-index
3 publications · 139 citations
3
h-index
2 publications · 536 citations
2
h-index
1 publications · 35 citations
1
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1 publications · 23 citations
1
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1–5