| MedChain: Efficient healthcare data sharing via blockchain B Shen, J Guo, Y Yang Applied sciences 9 (6), 1207, 2019 | 428 | 2019 |
| Deep learning for in vitro prediction of pharmaceutical formulations Y Yang, Z Ye, Y Su, Q Zhao, X Li, D Ouyang Acta pharmaceutica sinica B 9 (1), 177-185, 2019 | 148 | 2019 |
| Predicting physical stability of solid dispersions by machine learning techniques R Han, H Xiong, Z Ye, Y Yang, T Huang, Q Jing, J Lu, H Pan, F Ren, ... Journal of Controlled Release 311, 16-25, 2019 | 136 | 2019 |
| Predicting oral disintegrating tablet formulations by neural network techniques R Han, Y Yang, X Li, D Ouyang Asian journal of pharmaceutical sciences 13 (4), 336-342, 2018 | 93 | 2018 |
| An integrated transfer learning and multitask learning approach for pharmacokinetic parameter prediction Z Ye, Y Yang, X Li, D Cao, D Ouyang Molecular pharmaceutics 16 (2), 533-541, 2018 | 90 | 2018 |
| Content-based image retrieval research G Duan, J Yang, Y Yang Physics Procedia 22, 471-477, 2011 | 82 | 2011 |
| ServeNet: A deep neural network for web services classification Y Yang, N Qamar, P Liu, K Grolinger, W Wang, Z Li, Z Liao 2020 IEEE international conference on web services (ICWS), 168-175, 2020 | 59 | 2020 |
| Deep learning for web services classification Y Yang, W Ke, W Wang, Y Zhao 2019 IEEE International conference on Web services (ICWS), 440-442, 2019 | 55 | 2019 |
| Medshare: a novel hybrid cloud for medical resource sharing among autonomous healthcare providers Y Yang, X Li, N Qamar, P Liu, W Ke, B Shen, Z Liu IEEE Access 6, 46949-46961, 2018 | 51 | 2018 |
| Encrypted image classification based on multilayer extreme learning machine W Wang, CM Vong, Y Yang, PK Wong Multidimensional Systems and Signal Processing 28 (3), 851-865, 2017 | 48 | 2017 |
| MicroShare: privacy-preserved medical resource sharing through microService architecture Y Yang, Q Zu, P Liu, D Ouyang, X Li International Journal of Biological Sciences 14 (8), 907–919, 2018 | 32 | 2018 |
| Automated prototype generation from formal requirements model Y Yang, X Li, W Ke, Z Liu IEEE Transactions on Reliability 69 (2), 632-656, 2019 | 30 | 2019 |
| RM2PT: A tool for automated prototype generation from requirements model Y Yang, X Li, Z Liu, W Ke 2019 IEEE/ACM 41st International Conference on Software Engineering …, 2019 | 26 | 2019 |
| Interpretable machine learning methods for in vitro pharmaceutical formulation development Z Ye, W Yang, Y Yang, D Ouyang Food Frontiers 2 (2), 195-207, 2021 | 20 | 2021 |
| RM2PT: requirements validation through automatic prototyping Y Yang, W Ke, X Li 2019 IEEE 27th International Requirements Engineering Conference (RE), 484-485, 2019 | 20 | 2019 |
| Residual attention graph convolutional network for web services classification B Li, Z Li, Y Yang Neurocomputing 440, 45-57, 2021 | 18 | 2021 |
| Integrating UML with service refinement for requirements modeling and analysis Y Yang, W Ke, J Yang, X Li IEEE Access 7, 11599-11612, 2019 | 14 | 2019 |
| RM2Doc: A tool for automatic generation of requirements documents from requirements models T Bao, J Yang, Y Yang, Y Yin Proceedings of the ACM/IEEE 44th International Conference on Software …, 2022 | 11 | 2022 |
| Servenet-LT: A normalized multi-head deep neural network for long-tailed web services classification J Zhang, Y Chen, Y Yang, C Lei, D Wang 2021 IEEE International Conference on Web Services (ICWS), 97-106, 2021 | 10 | 2021 |
| NFRNet: a deep neural network for automatic classification of non-functional requirements B Li, Z Li, Y Yang 2021 IEEE 29th International Requirements Engineering Conference (RE), 434-435, 2021 | 7 | 2021 |
Xiaoshan LiAssociate Professor of Computer Science, University of MacauEmail verificata su umac.mo