| Deep learning in mental health outcome research: a scoping review C Su, Z Xu, J Pathak, F Wang Translational psychiatry 10 (1), 116, 2020 | 313 | 2020 |
| Multimodal machine learning in precision health: A scoping review A Kline, H Wang, Y Li, S Dennis, M Hutch, Z Xu, F Wang, F Cheng, Y Luo npj Digital Medicine 5 (1), 171, 2022 | 225 | 2022 |
| 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 | 161 | 2023 |
| Racial/ethnic disparities in post-acute sequelae of SARS-CoV-2 infection in New York: an EHR-based cohort study from the RECOVER program D Khullar, Y Zhang, C Zang, Z Xu, F Wang, MG Weiner, TW Carton, ... Journal of General Internal Medicine 38 (5), 1127-1136, 2023 | 100 | 2023 |
| Topic based context-aware travel recommendation method exploiting geotagged photos Z Xu, L Chen, G Chen Neurocomputing 155, 99-107, 2015 | 99 | 2015 |
| The discovery of personally semantic places based on trajectory data mining M Lv, L Chen, Z Xu, Y Li, G Chen Neurocomputing 173, 1142-1153, 2016 | 88 | 2016 |
| Identifying sub-phenotypes of acute kidney injury using structured and unstructured electronic health record data with memory networks Z Xu, J Chou, XS Zhang, Y Luo, T Isakova, P Adekkanattu, JS Ancker, ... Journal of biomedical informatics 102, 103361, 2020 | 68 | 2020 |
| 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 | 57 | 2022 |
| A dynamic topic model and matrix factorization-based travel recommendation method exploiting ubiquitous data Z Xu, L Chen, Y Dai, G Chen IEEE transactions on multimedia 19 (8), 1933-1945, 2017 | 44 | 2017 |
| 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 | 40 | 2022 |
| 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 | 39 | 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, ... Scientific Reports 11 (1), 15872, 2021 | 31 | 2021 |
| Weighted multi-information constrained matrix factorization for personalized travel location recommendation based on geo-tagged photos D Lyu, L Chen, Z Xu, S Yu Applied Intelligence 50, 924-938, 2020 | 29 | 2020 |
| 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 | 27 | 2020 |
| Stratified mortality prediction of patients with acute kidney injury in critical care Z Xu, Y Luo, P Adekkanattu, JS Ancker, G Jiang, RC Kiefer, JA Pacheco, ... Studies in health technology and informatics 264, 462, 2019 | 26 | 2019 |
| 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 | 25 | 2020 |
| Personalized location recommendation using mobile phone usage information H Shi, L Chen, Z Xu, D Lyu Applied Intelligence 49, 3694-3707, 2019 | 24 | 2019 |
| Data heterogeneity in federated learning with Electronic Health Records: Case studies of risk prediction for acute kidney injury and sepsis diseases in critical care S Rajendran, Z Xu, W Pan, A Ghosh, F Wang PLOS Digital Health 2 (3), e0000117, 2023 | 23 | 2023 |
| Predictive modeling of the risk of acute kidney injury in critical care: a systematic investigation of the class imbalance problem Z Xu, Y Feng, Y Li, A Srivastava, P Adekkanattu, JS Ancker, G Jiang, ... AMIA Summits on Translational Science Proceedings 2019, 809, 2019 | 23 | 2019 |
| Considerations for improving the portability of electronic health record-based phenotype algorithms LV Rasmussen, PS Brandt, G Jiang, RC Kiefer, JA Pacheco, ... AMIA Annual Symposium Proceedings 2019, 755, 2020 | 22 | 2020 |
