| Quantitative structure-activity relationship (QSAR) models and their applicability domain analysis on HIV-1 protease inhibitors by machine learning methods Y Tian, S Zhang, H Yin, A Yan Chemometrics and Intelligent Laboratory Systems 196, 103888, 2020 | 28 | 2020 |
| Classification of HIV-1 protease inhibitors by machine learning methods Y Li, Y Tian, Z Qin, A Yan ACS omega 3 (11), 15837-15849, 2018 | 15 | 2018 |
| Classification models and SAR analysis on HDAC1 inhibitors using machine learning methods R Li, Y Tian, Z Yang, Y Ji, J Ding, A Yan Molecular Diversity 27 (3), 1037-1051, 2023 | 7 | 2023 |
| Prediction and structure–activity relationship analysis on ready biodegradability of chemical using machine learning method H Yin, C Lin, Y Tian, A Yan Chemical Research in Toxicology 36 (4), 617-629, 2023 | 7 | 2023 |
| Machine learning-based classification models for non-covalent Bruton’s tyrosine kinase inhibitors: Predictive ability and interpretability G Li, J Li, Y Tian, Y Zhao, X Pang, A Yan Molecular Diversity 28 (4), 2429-2447, 2024 | 6 | 2024 |
| Classification of JAK1 inhibitors and SAR research by machine learning methods Z Yang, Y Tian, Y Kong, Y Zhu, A Yan Artificial Intelligence in the Life Sciences 2, 100039, 2022 | 5 | 2022 |
| Building 2D classification models and 3D CoMSIA models on small-molecule inhibitors of both wild-type and T790M/L858R double-mutant EGFR D Huo, H Wang, Z Qin, Y Tian, A Yan Molecular Diversity, 1-16, 2022 | 3 | 2022 |
| Prediction of bioactivities of microsomal prostaglandin E2 synthase‐1 inhibitors by machine learning algorithms Y Tian, Z Yang, H Wang, A Yan Chemical Biology & Drug Design 101 (6), 1307-1321, 2023 | 2 | 2023 |
| Quantitative structure-activity relationship study for HIV-1 LEDGF/p75 inhibitors Y Li, Y Tian, Y Xi, Z Qin, A Yan Current Computer-Aided Drug Design 16 (5), 654-666, 2020 | 2 | 2020 |
| Classification of FLT3 inhibitors and SAR analysis by machine learning methods Y Zhao, Y Tian, X Pang, G Li, S Shi, A Yan Molecular Diversity 28 (4), 1995-2011, 2024 | 1 | 2024 |
| Discovering the Active Ingredients of Medicine and Food Homologous Substances for Inhibiting the Cyclooxygenase-2 Metabolic Pathway by Machine Learning Algorithms Y Tian, Z Zhang, A Yan Molecules 28 (19), 6782, 2023 | 1 | 2023 |
| SAR study on inhibitors of Hsp90α using machine learning methods Z Zhang, Y Tian, A Yan CCF Transactions on High Performance Computing 3, 353-364, 2021 | 1 | 2021 |
| 基于YOLOv4 算法的中药饮片识别 郭丛， 田钰嘉， 李杨， 刘艳， 章军， 邸继鹏， 阎爱侠， 刘安 中国实验方剂学杂志 29 (14), 133-140, 2023 | | 2023 |
| Identification of Chinese Herb Pieces Based on YOLOv4 C GUO, Y TIAN, Y LI, Y LIU, J ZHANG, J DI, A YAN, A LIU Chinese Journal of Experimental Traditional Medical Formulae, 133-140, 2023 | | 2023 |
| Classification of FLT3 Inhibitors and SAR Analysis by Machine Learning Methods (preprint) Y Zhao, Y Tian, X Pang, G Li, A Yan, S Shi | | 2023 |
| Classification models and SAR analysis on thromboxane A2 synthase inhibitors by machine learning methods Y Ji, R Li, Y Tian, G Chen, A Yan SAR and QSAR in Environmental Research 33 (6), 429-462, 2022 | | 2022 |
| Artificial Intelligence in the Life Sciences Z Yang, Y Tian, Y Kong, Y Zhu, A Yan | | |
