| SyntaLinker: automatic fragment linking with deep conditional transformer neural networks Y Yang, S Zheng, S Su, C Zhao, J Xu, H Chen Chemical science 11 (31), 8312-8322, 2020 | 90 | 2020 |
| Identifying novel anti-osteoporosis leads with a chemotype-assembly approach C Zhao, D Huang, R Li, Y Xu, S Su, Q Gu, J Xu Journal of Medicinal Chemistry 62 (12), 5885-5900, 2019 | 19 | 2019 |
| Predicting the feasibility of copper (i)-catalyzed alkyne–azide cycloaddition reactions using a recurrent neural network with a self-attention mechanism S Su, Y Yang, H Gan, S Zheng, F Gu, C Zhao, J Xu Journal of Chemical Information and Modeling 60 (3), 1165-1174, 2020 | 14 | 2020 |
| Selective functionalization of hindered meta-C–H bond of o-alkylaryl ketones promoted by automation and deep learning J Qiu, J Xie, S Su, Y Gao, H Meng, Y Yang, K Liao Chem, 2022 | 12 | 2022 |
| A deep learning framework for accurate reaction prediction and its application on high-throughput experimentation data B Li, S Su, C Zhu, J Lin, X Hu, L Su, Z Yu, K Liao, H Chen Journal of Cheminformatics 15 (1), 1-12, 2023 | 8 | 2023 |
| Auto Machine Learning Assisted Preparation of Carboxylic Acid by TEMPO‐Catalyzed Primary Alcohol Oxidation J Qiu, Y Xu, S Su, Y Gao, P Yu, Z Ruan, K Liao Chinese Journal of Chemistry 41 (2), 143-150, 2023 | 7 | 2023 |
| HTE-and AI-assisted development of DHP-catalyzed decarboxylative selenation Z Yu, Y Kong, B Li, S Su, J Rao, Y Gao, T Tu, H Chen, K Liao Chemical Communications 59 (20), 2935-2938, 2023 | 5 | 2023 |
