Daniil Polykovskiy

12 papers and 640 indexed citations i.

Daniil Polykovskiy has authored 12 papers that have received a total of 640 indexed citations. This includes 8 papers in Computational Theory and Mathematics, 5 papers in Molecular Biology and 4 papers in Materials Chemistry. The topics of these papers are Computational Drug Discovery Methods (8 papers), Machine Learning in Materials Science (4 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). Daniil Polykovskiy is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Machine Learning in Materials Science (4 papers) and Generative Adversarial Networks and Image Synthesis (2 papers) and collaborates with scholars based in United States, Russia and Hong Kong. Daniil Polykovskiy's co-authors include Alex Zhavoronkov, Feng Ren, Alex Aliper, Artur Kadurin and Alexander Zhebrak and has published in prestigious journals such as Chemical Science, Clinical Pharmacology & Therapeutics and Drug Discovery Today