| An interpretable mortality prediction model for COVID-19 patients L Yan, HT Zhang, J Goncalves, Y Xiao, M Wang, Y Guo, C Sun, X Tang, ... Nature machine intelligence 2 (5), 283-288, 2020 | 1044 | 2020 |
| A survey of distributed optimization T Yang, X Yi, J Wu, Y Yuan, D Wu, Z Meng, Y Hong, H Wang, Z Lin, ... Annual Reviews in Control 47, 278-305, 2019 | 900 | 2019 |
| EARLY FLOWERING4 Recruitment of EARLY FLOWERING3 in the Nucleus Sustains the Arabidopsis Circadian Clock E Herrero, E Kolmos, N Bujdoso, Y Yuan, M Wang, MC Berns, H Uhlworm, ... The Plant Cell Online, 2012 | 349 | 2012 |
| Prediction of criticality in patients with severe Covid-19 infection using three clinical features: a machine learning-based prognostic model with clinical data in Wuhan L Yan, HT Zhang, Y Xiao, M Wang, C Sun, J Liang, S Li, M Zhang, Y Guo, ... MedRxiv 27, 2020, 2020 | 348 | 2020 |
| Remaining useful life prediction of lithium-ion batteries based on false nearest neighbors and a hybrid neural network G Ma, Y Zhang, C Cheng, B Zhou, P Hu, Y Yuan Applied Energy 253, 113626, 2019 | 314 | 2019 |
| Wasserstein distance based deep adversarial transfer learning for intelligent fault diagnosis with unlabeled or insufficient labeled data C Cheng, B Zhou, G Ma, D Wu, Y Yuan Neurocomputing 409, 35-45, 2020 | 265 | 2020 |
| Data driven discovery of cyber physical systems Y Yuan, X Tang, W Zhou, W Pan, X Li, HT Zhang, H Ding, J Goncalves Nature communications 10 (1), 4894, 2019 | 215 | 2019 |
| A deep learning-based remaining useful life prediction approach for bearings C Cheng, G Ma, Y Zhang, M Sun, F Teng, H Ding, Y Yuan IEEE/ASME Transactions on Mechatronics, 2020 | 201 | 2020 |
| A machine learning-based model for survival prediction in patients with severe COVID-19 infection L Yan, HT Zhang, J Goncalves, Y Xiao, M Wang, Y Guo, C Sun, X Tang, ... MedRxiv, 2020 | 199 | 2020 |
| Robust dynamical network structure reconstruction Y Yuan, GB Stan, S Warnick, J Goncalves Automatica 47 (6), 1230-1235, 2011 | 180 | 2011 |
| Decentralised minimum-time consensus Y Yuan, GB Stan, L Shi, M Barahona, J Goncalves Automatica 49 (5), 1227-1235, 2013 | 177 | 2013 |
| Automatic multilabel electrocardiogram diagnosis of heart rhythm or conduction abnormalities with deep learning: a cohort study H Zhu, C Cheng, H Yin, X Li, P Zuo, J Ding, F Lin, J Wang, B Zhou, Y Li, ... The Lancet Digital Health, 2020 | 175 | 2020 |
| A sparse Bayesian approach to the identification of nonlinear state-space systems W Pan, Y Yuan, J Gonçalves, GB Stan IEEE Transactions on Automatic Control 61 (1), 182-187, 2016 | 157 | 2016 |
| A general end-to-end diagnosis framework for manufacturing systems Y Yuan, G Ma, C Cheng, B Zhou, H Zhao, HT Zhang, H Ding National Science Review 7 (2), 418-429, 2020 | 155 | 2020 |
| State of AI-based monitoring in smart manufacturing and introduction to focused section H Ding, RX Gao, AJ Isaksson, RG Landers, T Parisini, Y Yuan IEEE/ASME transactions on mechatronics 25 (5), 2143-2154, 2020 | 153 | 2020 |
| On identification of distribution grids O Ardakanian, VWS Wong, R Dobbe, SH Low, A von Meier, CJ Tomlin, ... IEEE Transactions on Control of Network Systems 6 (3), 950-960, 2019 | 145 | 2019 |
| Shaping high-power IGBT switching transitions by active voltage control for reduced EMI generation X Yang, Y Yuan, X Zhang, PR Palmer IEEE Transactions on Industry Applications 51 (2), 1669-1677, 2014 | 128 | 2014 |
| Distributed finite-time average consensus in digraphs in the presence of time delays T Charalambous, Y Yuan, T Yang, W Pan, CN Hadjicostis, M Johansson IEEE Transactions on Control of Network Systems 2 (4), 370-381, 2015 | 119 | 2015 |
| Inverse power flow problem Y Yuan, SH Low, O Ardakanian, CJ Tomlin IEEE Transactions on Control of Network Systems 10 (1), 261-273, 2022 | 117 | 2022 |
| Real-time personalized health status prediction of lithium-ion batteries using deep transfer learning G Ma, S Xu, B Jiang, C Cheng, X Yang, Y Shen, T Yang, Y Huang, H Ding, ... Energy & Environmental Science 15 (10), 4083-4094, 2022 | 115 | 2022 |
Jorge GoncalvesUniversity of Luxembourg在 uni.lu 的电子邮件经过验证