| Federated learning for healthcare informatics J Xu, BS Glicksberg, C Su, P Walker, J Bian, F Wang arXiv preprint arXiv:1911.06270, 2019 | 52 | 2019 |
| Network embedding in biomedical data science C Su, J Tong, Y Zhu, P Cui, F Wang Briefings in Bioinformatics, 2018 | 43 | 2018 |
| 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 | 6 | 2020 |
| Deep learning in mental health outcome research: a scoping review C Su, Z Xu, J Pathak, F Wang Translational Psychiatry 10 (1), 1-26, 2020 | 6 | 2020 |
| Toward capturing heterogeneity for inferring diffusion networks: A mixed diffusion pattern model C Su, X Guan, Y Du, X Huang, M Zhang Knowledge-Based Systems 147, 81-93, 2018 | 6 | 2018 |
| Recent advances in biomedical literature mining S Zhao, C Su, Z Lu, F Wang Briefings in Bioinformatics, 2020 | 5 | 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 | 5 | 2017 |
| 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 | 4 | 2019 |
| 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 | 4 | 2018 |
| Interactive attention for semantic text matching S Zhao, Y Huang, C Su, Y Li, F Wang CoRR, abs/1911.06146, 2019 | 3 | 2019 |
| Maximizing topic propagation driven by multiple user nodes in micro-blogging C Su, Y Du, X Guan, C Wu 38th Annual IEEE Conference on Local Computer Networks, 751-754, 2013 | 3 | 2013 |
| Web page and image semi-supervised classification with heterogeneous information fusion Y Du, C Su, Z Cai, X Guan Journal of information science 39 (3), 289-306, 2013 | 3 | 2013 |
| Embedded Representation of Relation Words with Visual Supervision X Wang, Y Du, X Li, F Cao, C Su 2019 Third IEEE International Conference on Robotic Computing (IRC), 2019 | 2 | 2019 |
| Multi-view ensemble classification for clinically actionable genetic mutations X Zhang, D Chen, Y Zhu, C Che, C Su, S Zhao, X Min, F Wang The NIPS'17 Competition: Building Intelligent Systems, 79-99, 2018 | 2 | 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), 1-10, 2020 | 1 | 2020 |
| 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, ... medRxiv, 2020 | 1 | 2020 |
| Topic recommendation method with finite driving user nodes in micro-blogging C Wu, Y Du, C Su Computer Engineering and Applications 15, 33, 2013 | 1 | 2013 |
| 有限节点驱动的微博社会网络话题推荐方法 吴陈鹤， 杜友田， 苏畅 计算机工程与应用 49 (15), 141-146, 2013 | 1 | 2013 |
| 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), 1-10, 2020 | | 2020 |
| Learning Phenotypic Associations for Parkinson's Disease with Longitudinal Clinical Records W Pan, C Su, K Chen, C Henchcliffe, F Wang medRxiv, 2020 | | 2020 |
Fei WangAssociate Professor at Cornell UniversityVerified email at med.cornell.edu
