| Site-selective and stereoselective functionalization of unactivated C–H bonds K Liao, S Negretti, DG Musaev, J Bacsa, HML Davies Nature 533 (7602), 230-234, 2016 | 382 | 2016 |
| Dirhodium tetracarboxylates as catalysts for selective intermolecular C–H functionalization HML Davies, K Liao Nature Reviews Chemistry 3 (6), 347-360, 2019 | 303 | 2019 |
| Site-selective and stereoselective functionalization of non-activated tertiary C–H bonds K Liao, TC Pickel, V Boyarskikh, J Bacsa, DG Musaev, HML Davies Nature 551 (7682), 609-613, 2017 | 264 | 2017 |
| Design of catalysts for site-selective and enantioselective functionalization of non-activated primary C–H bonds K Liao, YF Yang, Y Li, JN Sanders, KN Houk, DG Musaev, HML Davies Nature chemistry 10 (10), 1048-1055, 2018 | 161 | 2018 |
| Catalyst-controlled selective functionalization of unactivated C–H bonds in the presence of electronically activated C–H bonds W Liu, Z Ren, AT Bosse, K Liao, EL Goldstein, J Bacsa, DG Musaev, ... Journal of the American Chemical Society 140 (38), 12247-12255, 2018 | 91 | 2018 |
| Site-selective carbene-induced C–H functionalization catalyzed by dirhodium tetrakis (triarylcyclopropanecarboxylate) complexes K Liao, W Liu, ZL Niemeyer, Z Ren, J Bacsa, DG Musaev, MS Sigman, ... ACS Catalysis 8 (1), 678-682, 2018 | 57 | 2018 |
| Leveraging Regio- and Stereoselective C(sp3)–H Functionalization of Silyl Ethers to Train a Logistic Regression Classification Model for Predicting Site-Selectivity … YT Boni, RC Cammarota, K Liao, MS Sigman, HML Davies Journal of the American Chemical Society 144 (34), 15549-15561, 2022 | 27 | 2022 |
| 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 8 (12), 3275-3287, 2022 | 19 | 2022 |
| High‐Throughput Experimentation and Machine Learning‐Assisted Optimization of Iridium‐Catalyzed Cross‐Dimerization of Sulfoxonium Ylides Y Xu, Y Gao, L Su, H Wu, H Tian, M Zeng, C Xu, X Zhu, K Liao Angewandte Chemie International Edition 62 (48), e202313638, 2023 | 18 | 2023 |
| HTE and machine learning-assisted development of iridium (I)-catalyzed selective O–H bond insertion reactions toward carboxymethyl ketones Y Xu, F Ren, L Su, Z Xiong, X Zhu, X Lin, N Qiao, H Tian, C Tian, K Liao Organic Chemistry Frontiers 10 (5), 1153-1159, 2023 | 18 | 2023 |
| 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), 72, 2023 | 16 | 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 | 11 | 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 | 11 | 2023 |
| Synthetic Automations: A Revolution From “Stone Age” to Modern Era G Fang, DZ Lin, K Liao Chinese Journal of Chemistry 41 (9), 1075-1079, 2023 | 5 | 2023 |
| AI for organic and polymer synthesis X Hong, Q Yang, K Liao, J Pei, M Chen, F Mo, H Lu, WB Zhang, H Zhou, ... Science China Chemistry 67 (8), 2461-2496, 2024 | 4 | 2024 |
| Artificial intelligence and automation to power the future of chemistry X Jiang, S Luo, K Liao, S Jiang, J Ma, J Jiang, Z Shuai Cell Reports Physical Science, 2024 | 3 | 2024 |
| SynAsk: unleashing the power of large language models in organic synthesis C Zhang, Q Lin, B Zhu, H Yang, X Lian, H Deng, J Zheng, K Liao Chemical Science 16 (1), 43-56, 2025 | 1 | 2025 |
| High-throughput experimentation and machine learning-promoted synthesis of α-phosphoryloxy ketones via Ru-catalyzed P (O) OH insertion reactions of sulfoxonium ylides A Lin, J Liu, Y Xu, H Wu, Y Chen, Y Zhang, L Su, X Zhao, K Liao Science China Chemistry, 1-8, 2024 | 1 | 2024 |
| Intermediate knowledge enhanced the performance of n-amide coupling yield prediction model C Zhang, Q Lin, H Deng, C Yang, Y Kong, Z Yu, K Liao | 1 | 2024 |
| Chemical education in digital chemistry FM Fung, M Lederbauer, YSL Choo, T Gehring, KM Jablonka, K Jorner, ... Chem 10 (12), 3519-3525, 2024 | | 2024 |
Huw M L DaviesEmory UniversityVerified email at Emory.edu