Federated learning for healthcare informatics J Xu, BS Glicksberg, C Su, P Walker, J Bian, F Wang Journal of Healthcare Informatics Research, 2021 | 679 | 2021 |
Deep learning in mental health outcome research: a scoping review C Su, Z Xu, J Pathak, F Wang Translational Psychiatry 10 (1), 116, 2020 | 158 | 2020 |
Network embedding in biomedical data science C Su, J Tong, Y Zhu, P Cui, F Wang Briefings in Bioinformatics, 2018 | 139 | 2018 |
Machine learning for suicide risk prediction in children and adolescents with electronic health records C Su, R Aseltine, R Doshi, K Chen, SC Rogers, F Wang Translational psychiatry 10 (1), 413, 2020 | 67 | 2020 |
Recent advances in biomedical literature mining S Zhao, C Su, Z Lu, F Wang Briefings in Bioinformatics 22 (3), bbaa057, 2021 | 59 | 2021 |
Knowledge-driven drug repurposing using a comprehensive drug knowledge graph Y Zhu, C Che, B Jin, N Zhang, C Su, F Wang Health Informatics Journal 26 (4), 2737-2750, 2020 | 51 | 2020 |
Artificial intelligence for COVID-19: Battling the pandemic with computational intelligence Z Xu, C Su, Y Xiao, F Wang Intelligent medicine 2 (1), 13-29, 2022 | 25 | 2022 |
Identifying organ dysfunction trajectory-based subphenotypes in critically ill patients with COVID-19 C Su, Z Xu, K Hoffman, P Goyal, MM Safford, J Lee, S Alvarez-Mulett, ... Scientific Reports 11 (1), 15872, 2021 | 25 | 2021 |
Mining genetic and transcriptomic data using machine learning approaches in Parkinson’s disease C Su, J Tong, F Wang npj Parkinson's Disease 6 (1), 24, 2020 | 24 | 2020 |
Cell micropatterning reveals the modulatory effect of cell shape on proliferation through intracellular calcium transients J Tong, Y Qi, X Wang, L Yu, C Su, W Xie, J Zhang Biochimica et Biophysica Acta (BBA)-Molecular Cell Research 1864 (12), 2389-2401, 2017 | 18 | 2017 |
Sepsis subphenotyping based on organ dysfunction trajectory Z Xu, C Mao, C Su, H Zhang, I Siempos, LK Torres, D Pan, Y Luo, ... Critical Care 26 (1), 197, 2022 | 17 | 2022 |
Clinical subphenotypes in COVID-19: derivation, validation, prediction, temporal patterns, and interaction with social determinants of health C Su, Y Zhang, JH Flory, MG Weiner, R Kaushal, EJ Schenck, F Wang NPJ digital medicine 4 (1), 110, 2021 | 16* | 2021 |
Graphene: A precise biomedical literature retrieval engine with graph augmented deep learning and external knowledge empowerment S Zhao, C Su, A Sboner, F Wang Proceedings of the 28th ACM International Conference on Information and …, 2019 | 14 | 2019 |
Interactive Attention Networks for Semantic Text Matching S Zhao, Y Huang, C Su, Y Li, F Wang IEEE International Conference on Data Mining (ICDM) 17, 861-870, 2020 | 13* | 2020 |
Comprehensive subtyping of Parkinson’s disease patients with similarity fusion: a case study with BioFIND data M Brendel, C Su, Y Hou, C Henchcliffe, F Wang npj Parkinson's Disease 7 (1), 83, 2021 | 8 | 2021 |
Improving suicide risk prediction via targeted data fusion: proof of concept using medical claims data W Xu, C Su, Y Li, S Rogers, F Wang, K Chen, R Aseltine Journal of the American Medical Informatics Association 29 (3), 500-511, 2022 | 7 | 2022 |
GNN-based Biomedical Knowledge Graph Mining in Drug Development C Su, Y Hou, F Wang Graph Neural Networks: Foundations, Frontiers, and Applications, 517-540, 2022 | 7 | 2022 |
A fast multi-level algorithm for community detection in directed online social networks C Su, X Guan, Y Du, Q Wang, F Wang Journal of Information Science 44 (3), 392-407, 2018 | 7 | 2018 |
Application of deep learning on single-cell RNA sequencing data analysis: a review M Brendel, C Su, Z Bai, H Zhang, O Elemento, F Wang Genomics, Proteomics & Bioinformatics 20 (5), 814-835, 2022 | 6 | 2022 |
Evaluation of Albumin Kinetics in Critically Ill Patients With Coronavirus Disease 2019 Compared to Those With Sepsis-Induced Acute Respiratory Distress Syndrome C Su, K Hoffman, Z Xu, E Sanchez, I Siempos, JS Harrington, A Racanelli, ... Critical Care Explorations 3 (12), e0589, 2021 | 6* | 2021 |