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Yong-Ping Zhao

Observed names: YONGPING ZHAO, Yong-ping Zhao, YongPing Zhao, Yongping Zhao, Yongping Zhao -, Zhao Yong-Ping
Observed institutions: Nanjing Tech University, Harbin Institute of Technology, Nanjing University of Science and Technology, Heilongjiang Institute of Technology, China National Heavy Machinery Research Institute Co., Ltd., Heilongjiang University, Nanjing University of Aeronautics and Astronautics
ORCID: 0000-0003-3310-1329
Observed ORCID: 0000-0003-3310-1329
OpenAlex ID: A5044023674
Simultaneous Facial Feature Tracking and Facial Expression Recognition
2013 · Yongqiang Li, Shangfei Wang, et al. · IEEE Transactions on Image Processing · 187
Unsupervised domain adaptation techniques based on auto-encoder for non-stationary EEG-based emotion recognition
2016 · Xin Chai, Qisong Wang, et al. · Computers in Biology and Medicine · 169
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A Review on Fault Mechanism and Diagnosis Approach for Li‐Ion Batteries
2015 · Chao Wu, Chunbo Zhu, et al. · Journal of Nanomaterials · 164
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Extreme learning machine based transfer learning for aero engine fault diagnosis
2021 · Yong-Ping Zhao, Yao-Bin Chen · Aerospace Science and Technology · 132
A Fast, Efficient Domain Adaptation Technique for Cross-Domain Electroencephalography(EEG)-Based Emotion Recognition
2017 · Xin Chai, Qisong Wang, et al. · Sensors · 124
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Extended least squares support vector machine with applications to fault diagnosis of aircraft engine
2019 · Yong-Ping Zhao, Jian-Jun Wang, et al. · ISA Transactions · 72
Unilateral alignment transfer neural network for fault diagnosis of aircraft engine
2021 · Bing Li, Yong-Ping Zhao, et al. · Aerospace Science and Technology · 70
An improved weighted one class support vector machine for turboshaft engine fault detection
2020 · Yong-Ping Zhao, Gong Huang, et al. · Engineering Applications of Artificial Intelligence · 70
A modeling method for aero-engine by combining stochastic gradient descent with support vector regression
2020 · Li-Hua Ren, Zhi-Feng Ye, et al. · Aerospace Science and Technology · 68
Data-Free Prior Model for Facial Action Unit Recognition
2013 · Yongqiang Li, Jixu Chen, et al. · IEEE Transactions on Affective Computing · 64
Least squares support vector machine for class imbalance learning and their applications to fault detection of aircraft engine
2018 · Peng-Peng Xi, Yong-Ping Zhao, et al. · Aerospace Science and Technology · 63
Recursive reduced least squares support vector regression
2008 · Yongping Zhao, Jianguo Sun · Pattern Recognition · 58
A new dynamic radius SVDD for fault detection of aircraft engine
2021 · Yong-Ping Zhao, Yun-Long Xie, et al. · Engineering Applications of Artificial Intelligence · 56
Group reduced kernel extreme learning machine for fault diagnosis of aircraft engine
2020 · Bing Li, Yong-Ping Zhao · Engineering Applications of Artificial Intelligence · 52
Twin least squares support vector regression
2013 · Yong-Ping Zhao, Jing Zhao, et al. · Neurocomputing · 52
A novel inter-domain attention-based adversarial network for aero-engine partial unsupervised cross-domain fault diagnosis
2023 · Yu-Qiang Wang, Yong-Ping Zhao · Engineering Applications of Artificial Intelligence · 47
A rotating stall warning method for aero-engine compressor based on DeepESVDD-CNN
2023 · Hui-Jie Jin, Yong-Ping Zhao, et al. · Aerospace Science and Technology · 47
Soft extreme learning machine for fault detection of aircraft engine
2019 · Yong-Ping Zhao, Gong Huang, et al. · Aerospace Science and Technology · 44
Robust support vector regression in the primal
2008 · Yongping Zhao, Jianguo Sun · Neural Networks · 43
A robust extreme learning machine for modeling a small-scale turbojet engine
2018 · Yong-Ping Zhao, Qian-Kun Hu, et al. · Applied Energy · 42
Measuring the intensity of spontaneous facial action units with dynamic Bayesian network
2015 · Yongqiang Li, S. Mohammad Mavadati, et al. · Pattern Recognition · 41
A proposed self-organizing radial basis function network for aero-engine thrust estimation
2019 · Zhi-Qiang Li, Yong-Ping Zhao, et al. · Aerospace Science and Technology · 38
Facial action unit recognition under incomplete data based on multi-label learning with missing labels
2016 · Yongqiang Li, Baoyuan Wu, et al. · Pattern Recognition · 38
Learning transfer feature representations for gas path fault diagnosis across gas turbine fleet
2022 · Bing Li, Yong-Ping Zhao, et al. · Engineering Applications of Artificial Intelligence · 37
Online Diagnosis for the Capacity Fade Fault of a Parallel-Connected Lithium Ion Battery Group
2016 · Hua Zhang, Lei Pei, et al. · Energies · 33
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Works count: 137
Citation count: 2,675
H-index: 28
I10-index: 61
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