| High sensitivity refractive index sensor based on splicing points tapered SMF-PCF-SMF structure Mach-Zehnder mode interferometer Q Wang, L Kong, Y Dang, F Xia, Y Zhang, Y Zhao, H Hu, J Li Sensors and Actuators B: Chemical 225, 213-220, 2016 | 159 | 2016 |
| Extreme learning machine based transfer learning for aero engine fault diagnosis YP Zhao, YB Chen Aerospace science and technology 121, 107311, 2022 | 83 | 2022 |
| Recursive reduced least squares support vector regression Y Zhao, J Sun Pattern Recognition 42 (5), 837-842, 2009 | 77 | 2009 |
| Extended least squares support vector machine with applications to fault diagnosis of aircraft engine YP Zhao, JJ Wang, XY Li, GJ Peng, Z Yang ISA transactions 97, 189-201, 2020 | 67 | 2020 |
| Least squares support vector machine for class imbalance learning and their applications to fault detection of aircraft engine PP Xi, YP Zhao, PX Wang, ZQ Li, YT Pan, FQ Song Aerospace Science and Technology 84, 56-74, 2019 | 64 | 2019 |
| A modeling method for aero-engine by combining stochastic gradient descent with support vector regression LH Ren, ZF Ye, YP Zhao Aerospace Science and Technology 99, 105775, 2020 | 57 | 2020 |
| Robust support vector regression in the primal Y Zhao, J Sun Neural Networks 21 (10), 1548-1555, 2008 | 56 | 2008 |
| An improved weighted one class support vector machine for turboshaft engine fault detection YP Zhao, G Huang, QK Hu, B Li Engineering Applications of Artificial Intelligence 94, 103796, 2020 | 55 | 2020 |
| Twin least squares support vector regression YP Zhao, J Zhao, M Zhao Neurocomputing 118, 225-236, 2013 | 51 | 2013 |
| Group reduced kernel extreme learning machine for fault diagnosis of aircraft engine B Li, YP Zhao Engineering Applications of Artificial Intelligence 96, 103968, 2020 | 49 | 2020 |
| Unilateral alignment transfer neural network for fault diagnosis of aircraft engine B Li, YP Zhao, YB Chen Aerospace Science and Technology 118, 107031, 2021 | 46 | 2021 |
| A new dynamic radius SVDD for fault detection of aircraft engine YP Zhao, YL Xie, ZF Ye Engineering applications of artificial intelligence 100, 104177, 2021 | 45 | 2021 |
| Soft extreme learning machine for fault detection of aircraft engine YP Zhao, G Huang, QK Hu, JF Tan, JJ Wang, Z Yang Aerospace Science and Technology 91, 70-81, 2019 | 45 | 2019 |
| A robust extreme learning machine for modeling a small-scale turbojet engine YP Zhao, QK Hu, JG Xu, B Li, G Huang, YT Pan Applied Energy 218, 22-35, 2018 | 44 | 2018 |
| Retargeting extreme learning machines for classification and their applications to fault diagnosis of aircraft engine YP Zhao, FQ Song, YT Pan, B Li Aerospace Science and Technology 71, 603-618, 2017 | 36 | 2017 |
| Fast cross validation for regularized extreme learning machine Y Zhao, K Wang Journal of Systems Engineering and Electronics 25 (5), 895-900, 2014 | 35 | 2014 |
| Robust truncated support vector regression YP Zhao, JG Sun Expert Systems with Applications 37 (7), 5126-5133, 2010 | 30 | 2010 |
| Learning transfer feature representations for gas path fault diagnosis across gas turbine fleet B Li, YP Zhao, YB Chen Engineering Applications of Artificial Intelligence 111, 104733, 2022 | 29 | 2022 |
| A proposed self-organizing radial basis function network for aero-engine thrust estimation ZQ Li, YP Zhao, ZY Cai, PP Xi, YT Pan, G Huang, TH Zhang Aerospace Science and Technology 87, 167-177, 2019 | 29 | 2019 |
| An improved recursive reduced least squares support vector regression YP Zhao, JG Sun, ZH Du, ZA Zhang, YC Zhang, HB Zhang Neurocomputing 87, 1-9, 2012 | 29 | 2012 |
