Youngchun Kwon - Concepedia

Author

Youngchun Kwon

Samsung (South Korea)ORCID

Also Known As

Youngchun Kwon

Publications

771

Citations

H-Index

Concepts

All Affiliations

Samsung (South Korea)Sungkyunkwan University Seoul National University

About

Youngchun Kwon is an author at Samsung (South Korea) specializing in engineering, machine learning, and data science.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	6	6	371
2	Business	2	2	47
3	Biomolecular Engineering	2	2	226
4	Language Studies	1	1	75
5	Medicine	1	1	150

Youngchun Kwon

Publications

767

Citations

H-Index

Page 1

	Year	Citations
Deep-learning-based inverse design model for intelligent discovery of organic molecules Kyungdoc Kim, Seokho Kang, Jiho Yoo, npj Computational Materials EngineeringMachine LearningComputational ChemistryChemistryMolecular Design	2018	150
Efficient learning of non-autoregressive graph variational autoencoders for molecular graph generation Youngchun Kwon, Jiho Yoo, Youn-Suk Choi, Journal of Cheminformatics	2019	86
AI-driven robotic chemist for autonomous synthesis of organic molecules Taesin Ha, Dongseon Lee, Youngchun Kwon, Science Advances Artificial IntelligenceCombinatorial ChemistryOrganic CompoundsOrganic Compound SynthesisEngineering	2023	76
Valid, Plausible, and Diverse Retrosynthesis Using Tied Two-Way Transformers with Latent Variables Eunji Kim, Dongseon Lee, Youngchun Kwon, Journal of Chemical Information and Modeling Natural Language ProcessingEngineeringMachine LearningData ScienceComputational Linguistics	2021	75
Uncertainty-aware prediction of chemical reaction yields with graph neural networks Youngchun Kwon, Dongseon Lee, Youn-Suk Choi, Journal of Cheminformatics	2022	74
Neural Message Passing for NMR Chemical Shift Prediction Youngchun Kwon, Dongseon Lee, Youn-Suk Choi, Journal of Chemical Information and Modeling	2020	63
Evolutionary design of molecules based on deep learning and a genetic algorithm Youngchun Kwon, Seokho Kang, Youn-Suk Choi, Scientific Reports	2021	53
Compressed graph representation for scalable molecular graph generation Youngchun Kwon, Dongseon Lee, Youn-Suk Choi, Journal of Cheminformatics	2020	38
Predictive Modeling of NMR Chemical Shifts without Using Atomic-Level Annotations Seokho Kang, Youngchun Kwon, Dongseon Lee, Journal of Chemical Information and Modeling	2020	29
Generative Modeling to Predict Multiple Suitable Conditions for Chemical Reactions Youngchun Kwon, Sun Kim, Youn-Suk Choi, Journal of Chemical Information and Modeling Artificial IntelligenceStructured PredictionEngineeringMachine LearningSynthesis Planning	2022	27

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