Common Feature Extraction
Common Feature Extraction is a computational methodology within consensus pharmacophore modeling that identifies invariant physicochemical and spatial characteristics shared across diverse ligands or receptor-bound conformations to define a unified pharmacophore hypothesis.
122
Publications
6.3K
Citations
491
Authors
207
Institutions
Publications per year
2017–2026
75
122
Patsorn Sangkloy, Nathan Burnell, Cusuh Ham et al. · ACM Transactions on Graphics · 2016 · 650 citations · Full text
Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation
Yangtao Zheng, Di Huang, Songtao Liu et al. · 2020 · 239 citations
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National Institute of Pharmaceutical Education and Research, India
2 publications · 24 citations
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2
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2
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1–5 of 491
207

Beihang University
Beijing, China
6 h-index
18 publications
1.7K citations

Chinese Academy of Sciences
Beijing, China
5 h-index
12 publications
1.3K citations

University of Electronic Science and Technology of China
Chengdu, China
4 h-index
10 publications
299 citations
Tsinghua University
Beijing, China
3 h-index
9 publications
178 citations

Imperial College London
London, United Kingdom
3 h-index
5 publications
163 citations
Tongji University
Shanghai, China
3 h-index
6 publications
312 citations
Hangzhou Dianzi University
Hangzhou, China
2 h-index
4 publications
99 citations

University of Helsinki
Helsinki, Finland
2 h-index
6 publications
222 citations
1–8 of 207
Repository · 5 publications · 116 citations
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4 publications · 303 citations
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Conference · 2 publications · 403 citations
2
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2 publications · 60 citations
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2 publications · 139 citations
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