| Federated learning for healthcare informatics J Xu, BS Glicksberg, C Su, P Walker, J Bian, F Wang Journal of healthcare informatics research 5, 1-19, 2021 | 1220 | 2021 |
| Federated learning of electronic health records to improve mortality prediction in hospitalized patients with COVID-19: machine learning approach A Vaid, SK Jaladanki, J Xu, S Teng, A Kumar, S Lee, S Somani, ... JMIR medical informatics 9 (1), e24207, 2021 | 232* | 2021 |
| Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes H Zhang, C Zang, Z Xu, Y Zhang, J Xu, J Bian, D Morozyuk, D Khullar, ... Nature Medicine 29 (1), 226-235, 2023 | 143 | 2023 |
| Algorithmic Fairness in Computational Medicine J Xu, Y Xiao, WH Wang, Y Ning, EA Shenkman, J Bian, F Wang eBioMedicine 84, 2022 | 94 | 2022 |
| Similarity constraints-based structured output regression machine: An approach to image super-resolution C Deng, J Xu, K Zhang, D Tao, X Gao, X Li IEEE transactions on neural networks and learning systems 27 (12), 2472-2485, 2015 | 51 | 2015 |
| Data-driven analysis to understand long COVID using electronic health records from the RECOVER initiative C Zang, Y Zhang, J Xu, J Bian, D Morozyuk, EJ Schenck, D Khullar, ... Nature Communications 14 (1), 1948, 2023 | 43* | 2023 |
| A(DP)SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent With Differential Privacy J Xu, W Zhang, F Wang IEEE transactions on pattern analysis and machine intelligence 44 (11), 8036 …, 2021 | 38 | 2021 |
| Early prediction of Alzheimer's disease and related dementias using real‐world electronic health records Q Li, X Yang, J Xu, Y Guo, X He, H Hu, T Lyu, D Marra, A Miller, G Smith, ... Alzheimer's & Dementia 19 (8), 3506-3518, 2023 | 35 | 2023 |
| Data‐driven discovery of probable Alzheimer's disease and related dementia subphenotypes using electronic health records J Xu, F Wang, Z Xu, P Adekkanattu, P Brandt, G Jiang, RC Kiefer, Y Luo, ... Learning Health Systems 4 (4), e10246, 2020 | 35 | 2020 |
| Compressed multi-scale feature fusion network for single image super-resolution X Fan, Y Yang, C Deng, J Xu, X Gao Signal processing 146, 50-60, 2018 | 33 | 2018 |
| Multi-class support vector machine via maximizing multi-class margins J Xu, X Liu, Z Huo, C Deng, F Nie, H Huang The 26th International Joint Conference on Artificial Intelligence (IJCAI 2017), 2017 | 33 | 2017 |
| Bilevel distance metric learning for robust image recognition J Xu, L Luo, C Deng, H Huang Advances in neural information processing systems 31, 2018 | 29 | 2018 |
| AD-BERT: Using pre-trained language model to predict the progression from mild cognitive impairment to Alzheimer's disease C Mao, J Xu, L Rasmussen, Y Li, P Adekkanattu, J Pacheco, ... Journal of Biomedical Informatics 144, 104442, 2023 | 27* | 2023 |
| A translational perspective towards clinical AI fairness M Liu, Y Ning, S Teixayavong, M Mertens, J Xu, DSW Ting, LTE Cheng, ... NPJ Digital Medicine 6 (1), 172, 2023 | 26 | 2023 |
| Toward cross‐platform electronic health record‐driven phenotyping using Clinical Quality Language PS Brandt, RC Kiefer, JA Pacheco, P Adekkanattu, ET Sholle, FS Ahmad, ... Learning health systems 4 (4), e10233, 2020 | 26 | 2020 |
| Subphenotyping depression using machine learning and electronic health records Z Xu, F Wang, P Adekkanattu, B Bose, V Vekaria, P Brandt, G Jiang, ... Learning Health Systems 4 (4), e10241, 2020 | 23 | 2020 |
| Multi-Level Metric Learning via Smoothed Wasserstein Distance. J Xu, L Luo, C Deng, H Huang The 27th International Joint Conference on Artificial Intelligence (IJCAI …, 2018 | 21 | 2018 |
| Federated patient hashing J Xu, Z Xu, P Walker, F Wang Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6486-6493, 2020 | 20 | 2020 |
| Predicting alzheimer’s disease cognitive assessment via robust low-rank structured sparse model J Xu, C Deng, X Gao, D Shen, H Huang IJCAI: proceedings of the conference 2017, 3880, 2017 | 18 | 2017 |
| High-throughput target trial emulation for Alzheimer’s disease drug repurposing with real-world data C Zang, H Zhang, J Xu, H Zhang, S Fouladvand, S Havaldar, F Cheng, ... Nature communications 14 (1), 8180, 2023 | 17* | 2023 |
Fei Wang, FAMIA, FIAHSI, FACMIProfessor at Cornell UniversityVerified email at med.cornell.edu
