| Retrosynthetic reaction pathway prediction through neural machine translation of atomic environments UV Ucak, I Ashyrmamatov, J Ko, J Lee Nature communications 13 (1), 1186, 2022 | 81 | 2022 |
| Substructure-based neural machine translation for retrosynthetic prediction UV Ucak, T Kang, J Ko, J Lee Journal of Cheminformatics 13 (1), 1-15, 2021 | 30 | 2021 |
| Improving the quality of chemical language model outcomes with atom-in-SMILES tokenization UV Ucak, I Ashyrmamatov, J Lee Journal of cheminformatics 15 (1), 55, 2023 | 28 | 2023 |
| Reconstruction of lossless molecular representations from fingerprints UV Ucak, I Ashyrmamatov, J Lee Journal of cheminformatics 15 (1), 26, 2023 | 24* | 2023 |
| Development of highly transparent Pd-coated Ag nanowire electrode for display and catalysis applications A Canlier, UV Ucak, H Usta, C Cho, JY Lee, U Sen, M Citir Applied Surface Science 350, 79-86, 2015 | 17 | 2015 |
| A soft damping function for dispersion corrections with less overfitting UV Ucak, H Ji, Y Singh, Y Jung The Journal of Chemical Physics 145 (17), 2016 | 6 | 2016 |
| The investigation of mass transfer in porous particles by CLSM and determination of diffusion coefficient UV Ucak HU Faculty of Engineering, 2008 | 2* | 2008 |
| Automated and efficient sampling of chemical reaction space M Lee, UV Ucak, J Jeong, I Ashyrmamatov, J Lee, E Sim Advanced Science, 2409009, 2025 | | 2025 |
| Refining EI-MS library search results through atomic-level insights UV Ucak, I Ashyrmamatov, J Lee preprint at ChemRxiv, 2024 | | 2024 |
| Retrosynthetic route planning with RetroTRAE platform J Lee, UV Ucak, I Ashyrmamatov, J Ko 한국고분자학회 학술대회 연구논문 초록집 47 (1), 44-44, 2022 | | 2022 |
| Improved semi-empirical dispersion corrections in density functional calculations UV Ucak KAIST, 2016 | | 2016 |
