| KBase: the United States department of energy systems biology knowledgebase AP Arkin, RW Cottingham, CS Henry, NL Harris, RL Stevens, S Maslov, ... Nature biotechnology 36 (7), 566-569, 2018 | 1025 | 2018 |
| 3D cloud detection and tracking system for solar forecast using multiple sky imagers Z Peng, D Yu, D Huang, J Heiser, S Yoo, P Kalb Solar Energy 118, 496-519, 2015 | 185 | 2015 |
| Third-generation sequencing and the future of genomics H Lee, J Gurtowski, S Yoo, M Nattestad, S Marcus, S Goodwin, ... BioRxiv, 048603, 2016 | 170 | 2016 |
| Supercomputer-based ensemble docking drug discovery pipeline with application to COVID-19 A Acharya, R Agarwal, MB Baker, J Baudry, D Bhowmik, S Boehm, ... Journal of chemical information and modeling 60 (12), 5832-5852, 2020 | 156 | 2020 |
| Mining social networks for personalized email prioritization S Yoo, Y Yang, F Lin, IC Moon Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009 | 155 | 2009 |
| Detector tomography on IBM quantum computers and mitigation of an imperfect measurement Y Chen, M Farahzad, S Yoo, TC Wei Physical Review A 100 (5), 052315, 2019 | 141 | 2019 |
| Error correction and assembly complexity of single molecule sequencing reads H Lee, J Gurtowski, S Yoo, S Marcus, WR McCombie, M Schatz BioRxiv, 006395, 2014 | 121 | 2014 |
| Quantum long short-term memory SYC Chen, S Yoo, YLL Fang ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 109 | 2022 |
| Federated quantum machine learning SYC Chen, S Yoo Entropy 23 (4), 460, 2021 | 104 | 2021 |
| Computing just what you need: Online data analysis and reduction at extreme scales I Foster, M Ainsworth, B Allen, J Bessac, F Cappello, JY Choi, ... Euro-Par 2017: Parallel Processing: 23rd International Conference on …, 2017 | 93 | 2017 |
| Machine learning prediction of incidence of Alzheimer’s disease using large-scale administrative health data JH Park, HE Cho, JH Kim, MM Wall, Y Stern, H Lim, S Yoo, HS Kim, J Cha NPJ digital medicine 3 (1), 46, 2020 | 89 | 2020 |
| Quantum convolutional neural networks for high energy physics data analysis SYC Chen, TC Wei, C Zhang, H Yu, S Yoo Physical Review Research 4 (1), 013231, 2022 | 88 | 2022 |
| Classification of local chemical environments from x-ray absorption spectra using supervised machine learning MR Carbone, S Yoo, M Topsakal, D Lu Physical Review Materials 3 (3), 033604, 2019 | 88 | 2019 |
| Cloud motion estimation for short term solar irradiation prediction H Huang, J Xu, Z Peng, S Yoo, D Yu, D Huang, H Qin 2013 IEEE International Conference on Smart Grid Communications …, 2013 | 82 | 2013 |
| Machine-learning X-ray absorption spectra to quantitative accuracy MR Carbone, M Topsakal, D Lu, S Yoo Physical review letters 124 (15), 156401, 2020 | 78 | 2020 |
| The DOE systems biology knowledgebase (KBase) AP Arkin, RL Stevens, RW Cottingham, S Maslov, CS Henry, P Dehal, ... BioRxiv, 096354, 2016 | 77 | 2016 |
| Extreme heterogeneity 2018-productive computational science in the era of extreme heterogeneity: Report for DOE ASCR workshop on extreme heterogeneity JS Vetter, R Brightwell, M Gokhale, P McCormick, R Ross, J Shalf, ... USDOE Office of Science (SC), Washington, DC (United States), 2018 | 72 | 2018 |
| Application of quantum machine learning using the quantum variational classifier method to high energy physics analysis at the LHC on IBM quantum computer simulator and … SL Wu, J Chan, W Guan, S Sun, A Wang, C Zhou, M Livny, F Carminati, ... Journal of Physics G: Nuclear and Particle Physics 48 (12), 125003, 2021 | 67 | 2021 |
| Visual detection with context for document layout analysis C Soto, S Yoo Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 67 | 2019 |
| Application of quantum machine learning using the quantum kernel algorithm on high energy physics analysis at the LHC SL Wu, S Sun, W Guan, C Zhou, J Chan, CL Cheng, T Pham, Y Qian, ... Physical Review Research 3 (3), 033221, 2021 | 62 | 2021 |
