| 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 | 1961 | 2019 |
| KG-BERT: BERT for knowledge graph completion L Yao, C Mao, Y Luo arXiv preprint arXiv:1909.03193, 2019 | 559 | 2019 |
| 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, 31-39, 2019 | 174 | 2019 |
| Circulating ACE2-expressing extracellular vesicles block broad strains of SARS-CoV-2 L El-Shennawy, AD Hoffmann, NK Dashzeveg, KM McAndrews, PJ Mehl, ... Nature communications 13 (1), 405, 2022 | 113 | 2022 |
| Feature selection for optimized high-dimensional biomedical data using an improved shuffled frog leaping algorithm B Hu, Y Dai, Y Su, P Moore, X Zhang, C Mao, J Chen, L Xu IEEE/ACM transactions on computational biology and bioinformatics 15 (6 …, 2016 | 93 | 2016 |
| A comprehensive SARS-CoV-2–human protein–protein interactome reveals COVID-19 pathobiology and potential host therapeutic targets Y Zhou, Y Liu, S Gupta, MI Paramo, Y Hou, C Mao, Y Luo, J Judd, ... Nature biotechnology 41 (1), 128-139, 2023 | 88 | 2023 |
| MedGCN: Medication recommendation and lab test imputation via graph convolutional networks C Mao, L Yao, Y Luo Journal of Biomedical Informatics 127, 104000, 2022 | 73* | 2022 |
| Early prediction of acute kidney injury in critical care setting using clinical notes Y Li, L Yao, C Mao, A Srivastava, X Jiang, Y Luo 2018 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2018 | 65 | 2018 |
| Traditional Chinese medicine clinical records classification with BERT and domain specific corpora L Yao, Z Jin, C Mao, Y Zhang, Y Luo Journal of the American Medical Informatics Association 26 (12), 1632-1636, 2019 | 55 | 2019 |
| Improve affective learning with EEG approach X Li, Q Zhao, L Liu, H Peng, Y Qi, C Mao, Z Fang, Q Liu, B Hu Computing and Informatics 29 (4), 557-570, 2010 | 49 | 2010 |
| Imagegcn: Multi-relational image graph convolutional networks for disease identification with chest x-rays C Mao, L Yao, Y Luo IEEE transactions on medical imaging 41 (8), 1990-2003, 2022 | 48 | 2022 |
| Developing a portable natural language processing based phenotyping system H Sharma, C Mao, Y Zhang, H Vatani, L Yao, Y Zhong, L Rasmussen, ... BMC Medical Informatics and Decision Making 19, 79-87, 2019 | 40 | 2019 |
| Long-term kidney function recovery and mortality after COVID-19-associated acute kidney injury: an international multi-centre observational cohort study BWL Tan, BWQ Tan, ALM Tan, ER Schriver, A Gutiérrez-Sacristán, P Das, ... EClinicalMedicine 55, 2023 | 38 | 2023 |
| A pervasive EEG-based biometric system B Hu, C Mao, W Campbell, P Moore, L Liu, G Zhao Proceedings of 2011 international workshop on Ubiquitous affective awareness …, 2011 | 33 | 2011 |
| 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 | 32 | 2022 |
| Deep generative classifiers for thoracic disease diagnosis with chest x-ray images C Mao, L Yao, Y Pan, Y Luo, Z Zeng 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 32 | 2018 |
| International analysis of electronic health records of children and youth hospitalized with COVID-19 infection in 6 countries FT Bourgeois, A Gutiérrez-Sacristán, MS Keller, M Liu, C Hong, ... JAMA network open 4 (6), e2112596-e2112596, 2021 | 31 | 2021 |
| Deep learning for cancer type classification and driver gene identification Z Zeng, C Mao, A Vo, X Li, JO Nugent, SA Khan, SE Clare, Y Luo BMC bioinformatics 22, 1-13, 2021 | 30* | 2021 |
| Cancer classification and pathway discovery using non-negative matrix factorization Z Zeng, AH Vo, C Mao, SE Clare, SA Khan, Y Luo Journal of biomedical informatics 96, 103247, 2019 | 29 | 2019 |
| Integrating hypertension phenotype and genotype with hybrid non-negative matrix factorization Y Luo, C Mao, Y Yang, F Wang, FS Ahmad, D Arnett, MR Irvin, SJ Shah Machine Learning for Healthcare Conference, 102-118, 2018 | 29 | 2018 |
