| Graph convolutional networks for text classification L Yao, C Mao, Y Luo Proceedings of the AAAI conference on artificial intelligence 33 (01), 7370-7377, 2019 | 1421 | 2019 |
| Evaluating the state-of-the-art in automatic de-identification Ö Uzuner, Y Luo, P Szolovits Journal of the American Medical Informatics Association 14 (5), 550-563, 2007 | 552 | 2007 |
| Identifying patient smoking status from medical discharge records Ö Uzuner, I Goldstein, Y Luo, I Kohane Journal of the American Medical Informatics Association 15 (1), 14-24, 2008 | 420 | 2008 |
| KG-BERT: BERT for knowledge graph completion L Yao, C Mao, Y Luo arXiv preprint arXiv:1909.03193, 2019 | 332 | 2019 |
| Big data and data science in critical care LN Sanchez-Pinto, Y Luo, MM Churpek Chest 154 (5), 1239-1248, 2018 | 209 | 2018 |
| Recurrent neural networks for classifying relations in clinical notes Y Luo Journal of biomedical informatics 72, 85-95, 2017 | 156 | 2017 |
| Using machine learning to predict laboratory test results Y Luo, P Szolovits, AS Dighe, JM Baron American journal of clinical pathology 145 (6), 778-788, 2016 | 136 | 2016 |
| Natural Language Processing for EHR-Based Pharmacovigilance: A Structured Review Y Luo, WK Thompson, TM Herr, Z Zeng, MA Berendsen, ... Drug Safety, 2017 | 134 | 2017 |
| A de-identifier for medical discharge summaries Ö Uzuner, TC Sibanda, Y Luo, P Szolovits Artificial intelligence in medicine 42 (1), 13-35, 2008 | 121 | 2008 |
| Clinical text classification with rule-based features and knowledge-guided convolutional neural networks L Yao, C Mao, Y Luo BMC medical informatics and decision making 19 (3), 31-39, 2019 | 120 | 2019 |
| Natural Language Processing for EHR-Based Computational Phenotyping Z Zeng, Y Deng, X Li, T Naumann, Y Luo IEEE/ACM transactions on computational biology and bioinformatics, 10.1109 …, 2018 | 117 | 2018 |
| Bridging semantics and syntax with graph algorithms—state-of-the-art of extracting biomedical relations Y Luo, Ö Uzuner, P Szolovits Briefings in bioinformatics 18 (1), 160-178, 2017 | 97 | 2017 |
| Recent advances in supervised dimension reduction: A survey G Chao, Y Luo, W Ding Machine learning and knowledge extraction 1 (1), 341-358, 2019 | 92 | 2019 |
| 3D-MICE: integration of cross-sectional and longitudinal imputation for multi-analyte longitudinal clinical data Y Luo, P Szolovits, AS Dighe, JM Baron Journal of the American Medical Informatics Association 25 (6), 645-653, 2018 | 87 | 2018 |
| Comparing scientific abstracts generated by ChatGPT to original abstracts using an artificial intelligence output detector, plagiarism detector, and blinded human reviewers CA Gao, FM Howard, NS Markov, EC Dyer, S Ramesh, Y Luo, ... bioRxiv, 2022.12. 23.521610, 2022 | 85 | 2022 |
| Predicting ICU mortality risk by grouping temporal trends from a multivariate panel of physiologic measurements Y Luo, Y Xin, R Joshi, L Celi, P Szolovits Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 82 | 2016 |
| Multi-view graph convolutional network and its applications on neuroimage analysis for parkinson’s disease X Zhang, L He, K Chen, Y Luo, J Zhou, F Wang AMIA Annual Symposium Proceedings 2018, 1147, 2018 | 80 | 2018 |
| Evolving phenotypes of non-hospitalized patients that indicate long COVID H Estiri, ZH Strasser, GA Brat, YR Semenov, CJ Patel, SN Murphy BMC medicine 19, 1-10, 2021 | 77 | 2021 |
| Segment convolutional neural networks (Seg-CNNs) for classifying relations in clinical notes Y Luo, Y Cheng, Ö Uzuner, P Szolovits, J Starren Journal of the American Medical Informatics Association, doi: 10.1093/jamia …, 2017 | 77 | 2017 |
| Automatic lymphoma classification with sentence subgraph mining from pathology reports Y Luo, AR Sohani, EP Hochberg, P Szolovits Journal of the American Medical Informatics Association 21 (5), 824-832, 2014 | 70 | 2014 |
