| Trends in human papillomavirus vaccine safety concerns and adverse event reporting in the United States K Sonawane, YY Lin, H Damgacioglu, Y Zhu, ME Fernandez, ... JAMA Network Open 4 (9), e2124502-e2124502, 2021 | 75 | 2021 |
| EEG-based driving fatigue detection using a two-level learning hierarchy radial basis function Z Ren, R Li, B Chen, H Zhang, Y Ma, C Wang, Y Lin, Y Zhang Frontiers in Neurorobotics 15, 618408, 2021 | 47 | 2021 |
| A collaborative learning framework for estimating many individualized regression models in a heterogeneous population Y Lin, K Liu, E Byon, X Qian, S Liu, S Huang IEEE Transactions on Reliability 67 (1), 328-341, 2017 | 41 | 2017 |
| A machine learning approach to predicting autism risk genes: Validation of known genes and discovery of new candidates Y Lin, S Afshar, AM Rajadhyaksha, JB Potash, S Han Frontiers in genetics 11, 500064, 2020 | 40 | 2020 |
| HPV vaccine recommendations and parental intent K Sonawane, Y Zhu, YY Lin, H Damgacioglu, Y Lin, JR Montealegre, ... Pediatrics 147 (3), 2021 | 38 | 2021 |
| Efficient discovery of abnormal event sequences in enterprise security systems B Dong, Z Chen, H Wang, LA Tang, K Zhang, Y Lin, Z Li, H Chen Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 35 | 2017 |
| Data-based decision rules to personalize depression follow-up Y Lin, S Huang, GE Simon, S Liu Scientific reports 8 (1), 5064, 2018 | 28 | 2018 |
| Collaborative alert ranking for anomaly detection Y Lin, Z Chen, C Cao, LA Tang, K Zhang, W Cheng, Z Li Proceedings of the 27th ACM International Conference on Information and …, 2018 | 25 | 2018 |
| Analysis of depression trajectory patterns using collaborative learning Y Lin, S Huang, G Simon, S Liu Mathematical Bioscience 282, 191-203, 2016 | 25 | 2016 |
| Selective sensing of a heterogeneous population of units with dynamic health conditions Y Lin, S Liu, S Huang IISE Transactions 50 (12), 1076-1088, 2018 | 23 | 2018 |
| A Rule-Based Prognostic Model for Type 1 Diabetes by Identifying and Synthesizing Baseline Profile Patterns Y Lin, X Qian, J Krischer, K Vehik, HS Lee, S Huang PLoS ONE 9 (6), e91095, 2014 | 22 | 2014 |
| A self-inspected adaptive SMOTE algorithm (SASMOTE) for highly imbalanced data classification in healthcare T Kosolwattana, C Liu, R Hu, S Han, H Chen, Y Lin BioData Mining 16 (1), 15, 2023 | 17 | 2023 |
| Anomalous event sequence detection B Dong, Z Chen, LA Tang, H Chen, H Wang, K Zhang, Y Lin, Z Li IEEE Intelligent Systems 36 (3), 5-13, 2020 | 10 | 2020 |
| Integrating brain methylome with GWAS for psychiatric risk gene discovery S Han, Y Lin, M Wang, FS Goes, K Tan, P Zandi, T Hyde, DR Weinberger, ... BioRxiv, 440206, 2018 | 10 | 2018 |
| A utility-based machine learning-driven personalized lifestyle recommendation for cardiovascular disease prevention A Dogan, Y Li, CP Odo, K Sonawane, Y Lin, C Liu Journal of Biomedical Informatics 141, 104342, 2023 | 9 | 2023 |
| Online alert ranking and attack scenario reconstruction Z Chen, LA Tang, Y Lin, LI Zhichun, H Chen, G Jiang US Patent 10,333,952, 2019 | 9 | 2019 |
| Domain-Knowledge Driven Cognitive Degradation Modeling for Alzheimer's Disease Y Lin, K Liu, E Byon, X Qian, S Huang 2015 SIAM International Conference on Data Mining, 2015 | 8 | 2015 |
| Cost-effectiveness analysis of prognostic-based depression monitoring Y Lin, S Huang, GE Simon, S Liu IISE Transactions on Healthcare Systems Engineering 9 (1), 41-54, 2019 | 7 | 2019 |
| Forecasting the demand of mobile clinic services at vulnerable communities based on integrated multi-source data B Majeed, J Peng, A Li, Y Lin, RI Delgado IISE Transactions on Healthcare Systems Engineering 11 (2), 113-127, 2021 | 6 | 2021 |
| xSVM: Scalable distributed kernel support vector machine training R Shah, S Zhang, Y Lin, P Wu 2019 IEEE International Conference on Big Data (Big Data), 155-164, 2019 | 6 | 2019 |
