| 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 | 988 | 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 | 747 | 2019 |
| 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 | 335 | 2020 |
| 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 | 327 | 2012 |
| 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 | 267 | 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 | 226 | 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 | 194 | 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 | 183 | 2019 |
| Robust dynamical network structure reconstruction Y Yuan, GB Stan, S Warnick, J Goncalves Automatica 47 (6), 1230-1235, 2011 | 175 | 2011 |
| Decentralised minimum-time consensus Y Yuan, GB Stan, L Shi, M Barahona, J Goncalves Automatica 49 (5), 1227-1235, 2013 | 172 | 2013 |
| 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 | 161 | 2020 |
| 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 | 144 | 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 | 143 | 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 | 140 | 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 | 124 | 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 | 120 | 2014 |
| 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 | 113 | 2020 |
| 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 | 112 | 2015 |
| Bayesian learning-based model-predictive vibration control for thin-walled workpiece machining processes Y Yuan, HT Zhang, Y Wu, T Zhu, H Ding IEEE/ASME transactions on mechatronics 22 (1), 509-520, 2016 | 103 | 2016 |
| Link prediction via linear optimization R Pech, D Hao, YL Lee, Y Yuan, T Zhou Physica A: Statistical Mechanics and its Applications 528, 121319, 2019 | 102 | 2019 |
Jorge GoncalvesUniversity of Luxembourg在 uni.lu 的电子邮件经过验证
