| Risk Prediction with Electronic Health Records: A Deep Learning Approach Y Cheng, F Wang, P Zhang, J Hu SIAM International Conference on Data Mining (SDM16), 2016 | 469 | 2016 |
| Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations X Yue, Z Wang, J Huang, S Parthasarathy, S Moosavinasab, Y Huang, ... Bioinformatics, btz718, 2020 | 359 | 2020 |
| Interpretable Drug Target Prediction Using Deep Neural Representation KY Gao, A Fokoue, H Luo, A Iyengar, S Dey, P Zhang The 27th International Joint Conference on Artificial Intelligence, 3371-3377, 2018 | 241 | 2018 |
| Label propagation prediction of drug-drug interactions based on clinical side effects P Zhang, F Wang, J Hu, R Sorrentino Scientific reports 5 (1), 12339, 2015 | 220 | 2015 |
| Combining structured and unstructured data for predictive models: a deep learning approach D Zhang, C Yin, J Zeng, X Yuan, P Zhang BMC Medical Informatics and Decision Making 20 (1), 1-11, 2020 | 167 | 2020 |
| Towards Personalized Medicine: Leveraging Patient Similarity and Drug Similarity Analytics P Zhang, F Wang, J Hu, R Sorrentino AMIA Summits Transl Sci Proc, 132-136, 2014 | 147 | 2014 |
| A deep learning framework for high-throughput mechanism-driven phenotype compound screening and its application to COVID-19 drug repurposing TH Pham, Y Qiu, J Zeng, L Xie, P Zhang Nature machine intelligence 3 (3), 247-257, 2021 | 143 | 2021 |
| Predicting adverse drug reactions through interpretable deep learning framework S Dey, H Luo, A Fokoue, J Hu, P Zhang BMC bioinformatics 19, 1-13, 2018 | 136 | 2018 |
| Contrastive attention for automatic chest x-ray report generation F Liu, C Yin, X Wu, S Ge, P Zhang, X Sun Findings of Annual Meeting of the Association for Computational Linguistics …, 2021 | 129 | 2021 |
| Systematic prediction of drug combinations based on clinical side-effects H Huang, P Zhang, XA Qu, P Sanseau, L Yang Scientific reports 4 (1), 7160, 2014 | 106 | 2014 |
| Large-scale structural and textual similarity-based mining of knowledge graph to predict drug–drug interactions I Abdelaziz, A Fokoue, O Hassanzadeh, P Zhang, M Sadoghi Journal of Web Semantics 44, 104-117, 2017 | 103 | 2017 |
| Towards drug repositioning: a unified computational framework for integrating multiple aspects of drug similarity and disease similarity P Zhang, F Wang, J Hu AMIA annual symposium proceedings 2014, 1258, 2014 | 101 | 2014 |
| Interpretable deep learning for automatic diagnosis of 12-lead electrocardiogram D Zhang, S Yang, X Yuan, P Zhang iScience 24 (4), 102373, 2021 | 99 | 2021 |
| Predicting changes in hypertension control using electronic health records from a chronic disease management program J Sun, CD McNaughton, P Zhang, A Perer, A Gkoulalas-Divanis, ... Journal of the American Medical Informatics Association 21 (2), 337-344, 2014 | 83 | 2014 |
| Domain Knowledge Guided Deep Learning with Electronic Health Records C Yin, R Zhao, B Qian, X Lv, P Zhang IEEE International Conference on Data Mining (ICDM19), 2019 | 78 | 2019 |
| DDI-CPI, a server that predicts drug–drug interactions through implementing the chemical–protein interactome H Luo, P Zhang, H Huang, J Huang, E Kao, L Shi, L He, L Yang Nucleic acids research 42 (W1), W46-W52, 2014 | 78 | 2014 |
| DeepDRiD: Diabetic retinopathy—grading and image quality estimation challenge R Liu, X Wang, Q Wu, L Dai, X Fang, T Yan, J Son, S Tang, J Li, Z Gao, ... Patterns 3 (6), 100512, 2022 | 75 | 2022 |
| Predicting drug-drug interactions through large-scale similarity-based link prediction A Fokoue, M Sadoghi, O Hassanzadeh, P Zhang The Semantic Web. Latest Advances and New Domains: 13th International …, 2016 | 69 | 2016 |
| Exploring the associations between drug side-effects and therapeutic indications F Wang, P Zhang, N Cao, J Hu, R Sorrentino Journal of biomedical informatics 51, 15-23, 2014 | 68 | 2014 |
| Clinical Risk Prediction with Multilinear Sparse Logistic Regression F Wang, P Zhang, B Qian, X Wang, I Davidson ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD14), 2014 | 64 | 2014 |
