| 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 | 1514* | 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 24 (2), 428-443, 2012 | 366 | 2012 |
| Necessary and sufficient conditions for dynamical structure reconstruction of LTI networks J Gonçalves, S Warnick IEEE Transactions on Automatic Control 53 (7), 1670-1674, 2008 | 288 | 2008 |
| The circadian oscillator gene GIGANTEA mediates a long-term response of the Arabidopsis thaliana circadian clock to sucrose N Dalchau, SJ Baek, HM Briggs, FC Robertson, AN Dodd, MJ Gardner, ... Proceedings of the National Academy of Sciences 108 (12), 5104-5109, 2011 | 276 | 2011 |
| PaCER-A fully automated method for electrode trajectory and contact reconstruction in deep brain stimulation A Husch, MV Petersen, P Gemmar, J Goncalves, F Hertel NeuroImage: Clinical 17, 80-89, 2018 | 271 | 2018 |
| The Arabidopsis Circadian Clock Incorporates a cADPR-Based Feedback Loop AN Dodd, MJ Gardner, CT Hotta, KE Hubbard, N Dalchau, J Love, ... Science 318 (5857), 1789-1792, 2007 | 257 | 2007 |
| 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 | 247 | 2019 |
| Global stability of relay feedback systems JM Gonçalves, A Megretski, MA Dahleh IEEE Transactions on Automatic Control 46 (4), 550-562, 2001 | 227 | 2001 |
| A machine learning-based model for survival prediction in patients with severe COVID-19 infection L Yan, H Zhang, J Goncalves, Y Xiao, M Wang, Y Guo, C Sun, X Tang, ... | 213 | 2020 |
| Clinical data based optimal STI strategies for HIV: a reinforcement learning approach D Ernst, GB Stan, J Goncalves, L Wehenkel Proceedings of the 45th IEEE Conference on Decision and Control, 667-672, 2006 | 201 | 2006 |
| Decentralised minimum-time consensus Y Yuan, GB Stan, L Shi, M Barahona, J Goncalves Automatica 49 (5), 1227-1235, 2013 | 186 | 2013 |
| Robust dynamical network structure reconstruction Y Yuan, GB Stan, S Warnick, J Goncalves Automatica 47 (6), 1230-1235, 2011 | 185 | 2011 |
| Koopman-based lifting techniques for nonlinear systems identification A Mauroy, J Goncalves IEEE Transactions on Automatic Control 65 (6), 2550-2565, 2019 | 182 | 2019 |
| Linear identification of nonlinear systems: A lifting technique based on the Koopman operator A Mauroy, J Goncalves 2016 IEEE 55th Conference on Decision and Control (CDC), 6500-6505, 2016 | 166 | 2016 |
| 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, 2015 | 166 | 2015 |
| Global analysis of piecewise linear systems using impact maps and surface Lyapunov functions JM Gonçalves, A Megretski, MA Dahleh IEEE Transactions on Automatic Control 48 (12), 2089-2106, 2004 | 163 | 2004 |
| Almost Global Consensus on the -Sphere J Markdahl, J Thunberg, J Gonçalves IEEE Transactions on Automatic Control 63 (6), 1664-1675, 2017 | 162 | 2017 |
| Critical transitions in chronic disease: transferring concepts from ecology to systems medicine C Trefois, PMA Antony, J Goncalves, A Skupin, R Balling Current opinion in biotechnology 34, 48-55, 2015 | 132 | 2015 |
| SARS-CoV-2 transmission risk from asymptomatic carriers: results from a mass screening programme in Luxembourg P Wilmes, J Zimmer, J Schulz, F Glod, L Veiber, L Mombaerts, ... The Lancet Regional Health–Europe 4, 2021 | 108 | 2021 |
| Sparse network identifiability via compressed sensing D Hayden, YH Chang, J Goncalves, CJ Tomlin Automatica 68, 9-17, 2016 | 99 | 2016 |
Ye YuanEndowed Chair Professor, Huazhong University of Science and TechnologyVerified email at hust.edu.cn
