Experimental Validation
Experimental Validation is the systematic process of confirming the accuracy and reliability of a theoretical model or computational prediction by comparing its outcomes with empirical data obtained under controlled physical conditions.
7.9K
Publications
371.2K
Citations
31.1K
Authors
5K
Institutions
Publications per year
2017–2026
3.3K
Variants
Empirical Validation
7.9K
Kenno Vanommeslaeghe, Elizabeth Hatcher, Chitrangada Acharya et al. · Journal of Computational Chemistry · 2009 · 7.5K citations · Full text
Comprehensive Characterization of Cancer Driver Genes and Mutations
Matthew H. Bailey, Collin Tokheim, Eduard Porta‐Pardo et al. · Cell · 2018 · 2.5K citations · Full text
Medicine, Bioinformatics, Oncology +17
SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks
Bo Li, Wei Wu, Qiang Wang et al. · 2019 · 2.5K citations
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5K

Centre National de la Recherche Scientifique
Paris, France
57 h-index
1K publications
47.9K citations
KU Leuven
Leuven, Belgium
36 h-index
280 publications
14.1K citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
36 h-index
183 publications
10.5K citations
Politecnico di Milano
Milan, Italy
36 h-index
249 publications
10.9K citations
Indian Institute of Technology Delhi
New Delhi, India
33 h-index
130 publications
7.8K citations

University of Nottingham
Nottingham, United Kingdom
32 h-index
121 publications
7.5K citations
Politecnico di Torino
Turin, Italy
31 h-index
230 publications
7.9K citations

Chinese Academy of Sciences
Beijing, China
31 h-index
279 publications
16.1K citations
1–8 of 5K
80 publications · 6.1K citations
43
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81 publications · 3.6K citations
37
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MSSP · 76 publications · 4K citations
37
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51 publications · 3K citations
37
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53 publications · 5.8K citations
36
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