Geometric Constraint Optimization
Geometric Constraint Optimization is a computational method in pharmacophore hypothesis generation that identifies spatial arrangements of pharmacophoric features by minimizing deviations from experimentally derived or chemically inferred distance and angle constraints among molecular interaction sites.
119
Publications
6.2K
Citations
393
Authors
179
Institutions
Publications per year
2017–2026
41
119
DeepID-Net: Deformable deep convolutional neural networks for object detection
Wanli Ouyang, Xiaogang Wang, Xingyu Zeng et al. · 2015 · 438 citations
LO-Net: Deep Real-Time Lidar Odometry
Qing Li, Shaoyang Chen, Cheng Wang et al. · 2019 · 224 citations · Full text
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179
Tsinghua University
Beijing, China
6 h-index
12 publications
564 citations

University of Bologna
Bologna, Italy
5 h-index
8 publications
289 citations

Huazhong University of Science and Technology
Wuhan, China
4 h-index
6 publications
273 citations
University of Florida
Gainesville, United States
4 h-index
9 publications
478 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
4 h-index
39 publications
7.7K citations

Chinese Academy of Sciences
Beijing, China
3 h-index
10 publications
894 citations
Purdue University West Lafayette
West Lafayette, United States
3 h-index
3 publications
212 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
5 publications
70 citations
1–8 of 179
7 publications · 315 citations
7
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5 publications · 322 citations
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3 publications · 141 citations
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TPAMI · 3 publications · 796 citations
3
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2 publications · 201 citations
2
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1–5