| DeepPurpose: a deep learning library for drug–target interaction prediction K Huang, T Fu, LM Glass, M Zitnik, C Xiao, J Sun Bioinformatics 36 (22-23), 5545-5547, 2020 | 436 | 2020 |
| MolTrans: molecular interaction transformer for drug–target interaction prediction K Huang, C Xiao, LM Glass, J Sun Bioinformatics 37 (6), 830-836, 2021 | 381 | 2021 |
| SkipGNN: predicting molecular interactions with skip-graph networks K Huang, C Xiao, LM Glass, M Zitnik, J Sun Scientific reports 10 (1), 21092, 2020 | 167 | 2020 |
| Statin safety: an appraisal from the adverse event reporting system MH Davidson, JA Clark, LM Glass, A Kanumalla The American journal of cardiology 97 (8), S32-S43, 2006 | 162 | 2006 |
| SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization Y Yu, K Huang, C Zhang, LM Glass, J Sun, C Xiao Bioinformatics 37 (18), 2988-2995, 2021 | 149 | 2021 |
| CASTER: Predicting Drug Interactions with Chemical Substructure Representation K Huang, C Xiao, TN Hoang, LM Glass, J Sun AAAI' 20, 2020 | 149 | 2020 |
| STAN: spatio-temporal attention network for pandemic prediction using real-world evidence J Gao, R Sharma, C Qian, LM Glass, J Spaeder, J Romberg, J Sun, ... Journal of the American Medical Informatics Association 28 (4), 733-743, 2021 | 140 | 2021 |
| Safedrug: Dual molecular graph encoders for recommending effective and safe drug combinations C Yang, C Xiao, F Ma, L Glass, J Sun arXiv preprint arXiv:2105.02711, 2021 | 127 | 2021 |
| StageNet: Stage-Aware Neural Networks for Health Risk Prediction JG Gao, C Xiao, Y Wang, W Tang, LM Glass, J Sun The World Wide Web Conference (WWW' 20), 2020 | 109 | 2020 |
| Mimosa: Multi-constraint molecule sampling for molecule optimization T Fu, C Xiao, X Li, LM Glass, J Sun Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 125-133, 2021 | 100 | 2021 |
| DeepEnroll: patient-trial matching with deep embedding and entailment prediction X Zhang, C Xiao, LM Glass, J Sun Proceedings of the web conference 2020, 1029-1037, 2020 | 77 | 2020 |
| Change matters: Medication change prediction with recurrent residual networks C Yang, C Xiao, L Glass, J Sun arXiv preprint arXiv:2105.01876, 2021 | 75 | 2021 |
| COMPOSE: Cross-modal pseudo-siamese network for patient trial matching J Gao, C Xiao, LM Glass, J Sun Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 64 | 2020 |
| Hint: Hierarchical interaction network for clinical-trial-outcome predictions T Fu, K Huang, C Xiao, LM Glass, J Sun Patterns 3 (4), 2022 | 61 | 2022 |
| Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction B Ljubic, S Roychoudhury, XH Cao, M Pavlovski, S Obradovic, R Nair, ... Computer methods and programs in biomedicine 197, 105765, 2020 | 50 | 2020 |
| Characterizing the clinical adoption of medical AI devices through US insurance claims K Wu, E Wu, B Theodorou, W Liang, C Mack, L Glass, J Sun, J Zou NEJM AI 1 (1), AIoa2300030, 2024 | 49 | 2024 |
| CONAN: Complementary Pattern Augmentation for Rare Disease Detection L Cui, S Biswal, LM Glass, G Lever, J Sun, C Xiao AAAI' 20, 2020 | 43 | 2020 |
| Explainable substructure partition fingerprint for protein, drug, and more K Huang, C Xiao, L Glass, J Sun NeurIPS learning meaningful representation of life workshop, 2019 | 38 | 2019 |
| Machine learning applications for therapeutic tasks with genomics data K Huang, C Xiao, LM Glass, CW Critchlow, G Gibson, J Sun Patterns 2 (10), 2021 | 37 | 2021 |
| FLANNEL (focal loss based neural network ensemble) for COVID-19 detection Z Qiao, A Bae, LM Glass, C Xiao, J Sun Journal of the American Medical Informatics Association 28 (3), 444-452, 2021 | 36 | 2021 |
Jimeng SunProfessor at University of Illinois Urbana-ChampaignOverená e-mailová adresa na: illinois.edu