| Accurate estimation of influenza epidemics using Google search data via ARGO S Yang, M Santillana, SC Kou Proceedings of the National Academy of Sciences 112 (47), 14473-14478, 2015 | 424 | 2015 |
| Using electronic health records and Internet search information for accurate influenza forecasting S Yang, M Santillana, JS Brownstein, J Gray, S Richardson, SC Kou BMC infectious diseases 17, 1-9, 2017 | 119 | 2017 |
| Advances in using Internet searches to track dengue S Yang, SC Kou, F Lu, JS Brownstein, N Brooke, M Santillana PLoS computational biology 13 (7), e1005607, 2017 | 109 | 2017 |
| Pre-existing autoimmune disease and the risk of immune-related adverse events among patients receiving checkpoint inhibitors for cancer KL Kehl, S Yang, MM Awad, N Palmer, IS Kohane, D Schrag Cancer Immunology, Immunotherapy 68, 917-926, 2019 | 74 | 2019 |
| Inference of dynamic systems from noisy and sparse data via manifold-constrained Gaussian processes S Yang, SWK Wong, SC Kou Proceedings of the National Academy of Sciences 118 (15), e2020397118, 2021 | 35 | 2021 |
| Accurate regional influenza epidemics tracking using Internet search data S Ning, S Yang, SC Kou Scientific reports 9 (1), 5238, 2019 | 33 | 2019 |
| The lifetime of a financial bubble Y Obayashi, P Protter, S Yang Mathematics and Financial Economics 11, 45-62, 2017 | 30 | 2017 |
| High-resolution spatio-temporal model for county-level COVID-19 activity in the US S Zhu, A Bukharin, L Xie, M Santillana, S Yang, Y Xie ACM Transactions on Management Information Systems (TMIS) 12 (4), 1-20, 2021 | 26 | 2021 |
| Real-world data analyses unveiled the immune-related adverse effects of immune checkpoint inhibitors across cancer types F Wang, S Yang, N Palmer, K Fox, IS Kohane, KP Liao, KH Yu, SC Kou NPJ precision oncology 5 (1), 82, 2021 | 20 | 2021 |
| Autoimmune Effects of Lung Cancer Immunotherapy Revealed by Data‐Driven Analysis on a Nationwide Cohort S Yang, KH Yu, N Palmer, K Fox, SC Kou, IS Kohane Clinical Pharmacology & Therapeutics, 2019 | 18 | 2019 |
| Use internet search data to accurately track state level influenza epidemics S Yang, S Ning, SC Kou Scientific reports 11 (1), 4023, 2021 | 17 | 2021 |
| Covid-19 forecasts using internet search information in the united states S Ma, S Yang Scientific Reports 12 (1), 11539, 2022 | 16 | 2022 |
| On parallelizable Markov chain Monte Carlo algorithms with waste-recycling S Yang, Y Chen, E Bernton, JS Liu Statistics and Computing 28, 1073-1081, 2018 | 13 | 2018 |
| COUnty aggRegation mixup AuGmEntation (COURAGE) COVID-19 prediction S Er, S Yang, T Zhao Scientific Reports 11 (1), 14262, 2021 | 10 | 2021 |
| Early detection of COVID-19 hotspots using spatio-temporal data S Zhu, A Bukharin, L Xie, K Yamin, S Yang, P Keskinocak, Y Xie IEEE Journal of Selected Topics in Signal Processing 16 (2), 250-260, 2022 | 8 | 2022 |
| Using internet search data to forecast COVID-19 trends: a systematic review S Ma, Y Sun, S Yang Analytics 1 (2), 210-227, 2022 | 7 | 2022 |
| COVID-19 hospitalizations forecasts using internet search data T Wang, S Ma, S Baek, S Yang Scientific Reports 12 (1), 9661, 2022 | 7 | 2022 |
| Manifold-constrained Gaussian process inference for time-varying parameters in dynamic systems Y Sun, S Yang Statistics and Computing 33 (6), 142, 2023 | 5 | 2023 |
| MAGI: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-constrained Gaussian Processes SWK Wong, S Yang, SC Kou arXiv preprint arXiv:2203.06066, 2022 | 5 | 2022 |
| Deep Attention Q-Network for Personalized Treatment Recommendation S Ma, J Lee, N Serban, S Yang 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 329-337, 2023 | 4 | 2023 |
Samuel C KouProfessor of Statistics, Harvard UniversityVerified email at stat.harvard.edu
