Data Screening
Data Screening is a methodological process within data validation that involves the systematic examination of datasets to identify and address anomalies, errors, or inconsistencies prior to analysis.
99
Publications
6.6K
Citations
413
Authors
176
Institutions
Publications per year
2017–2026
36
Parents
99
1–5 of 99
413
Environmental Research Institute of Michigan, United States
2 publications · 72 citations
2
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2
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2
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2
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2
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1–5 of 413
176
Northern University of Malaysia
Jitra, Malaysia
5 h-index
12 publications
311 citations
Jet Propulsion Laboratory
Pasadena, United States
3 h-index
12 publications
629 citations
Stanford University
Stanford, United States
2 h-index
5 publications
106 citations
University of Michigan
Ann Arbor, United States
2 h-index
3 publications
114 citations
University of Southern California
Los Angeles, United States
2 h-index
2 publications
84 citations

University of Applied Sciences Utrecht
Utrecht, Netherlands
2 h-index
2 publications
109 citations
Japan Aerospace Exploration Agency
Tokyo, Japan
2 h-index
4 publications
79 citations
Utrecht University
Utrecht, The Netherlands
2 h-index
2 publications
109 citations
1–8 of 176
4 publications · 109 citations
4
h-index
2 publications · 83 citations
2
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TRR · 2 publications · 79 citations
2
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Repository · 2 publications · 72 citations
2
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2 publications · 270 citations
2
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1–5