Surface Feature Analysis
Surface Feature Analysis is a computational method in Automated Essay Scoring that identifies and quantifies superficial linguistic characteristics—such as word count, sentence length, and lexical diversity—to assess writing quality without interpreting semantic or rhetorical content.
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Publications
4.4K
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365
Authors
164
Institutions
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2017–2026
14
Parents
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THEMIS observes possible cave skylights on Mars
G. E. Cushing, T. N. Titus, J. Judson Wynne et al. · Geophysical Research Letters · 2007 · 165 citations · Full text
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University of Hong Kong
Pok Fu Lam, Hong Kong
3 h-index
6 publications
81 citations
Nanjing University of Science and Technology
Nanjing, China
3 h-index
5 publications
122 citations
University of Southern California
Los Angeles, United States
2 h-index
4 publications
92 citations
Northwestern University
Evanston, United States
2 h-index
5 publications
163 citations
Stanford University
Stanford, United States
2 h-index
2 publications
329 citations
University of Wisconsin–Madison
Madison, United States
2 h-index
6 publications
172 citations

University of Wisconsin–Milwaukee
Milwaukee, United States
2 h-index
3 publications
137 citations
University of Kentucky
Lexington, United States
2 h-index
3 publications
58 citations
1–8 of 164
15 publications · 290 citations
12
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3 publications · 102 citations
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3 publications · 85 citations
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2 publications · 57 citations
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2 publications · 40 citations
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